U.S. patent application number 16/761184 was filed with the patent office on 2022-03-17 for system and method for blockchain-based network transitioned by a legal contract.
The applicant listed for this patent is DocuSign, Inc.. Invention is credited to Peter Geoffrey Lerato Hunn, Daniel Charles Selman, Jerome Simeon.
Application Number | 20220084147 16/761184 |
Document ID | / |
Family ID | 1000006178457 |
Filed Date | 2022-03-17 |
United States Patent
Application |
20220084147 |
Kind Code |
A9 |
Hunn; Peter Geoffrey Lerato ;
et al. |
March 17, 2022 |
SYSTEM AND METHOD FOR BLOCKCHAIN-BASED NETWORK TRANSITIONED BY A
LEGAL CONTRACT
Abstract
A system and method for transitioning a distributed ledger
network according to a legal contract that includes: establishing a
contract, which comprises generating a set of programmable clauses
for the contract by implementing a templating system comprised of a
template model that contains the logic of each programmable clause
of the set of programmable clauses; operating a distributed ledger
network between participants, wherein the distributed ledger
network is configured with an application model that maps to the
template model; updating the contract state; updating the
distributed ledger network according to the application model; in
response to at least one update to the contract state, recording an
update to the distributed ledger network; and in response to at
least one contract-associated update in the distributed ledger
network, initiating execution of at least one programmable clause
of the contract and recording a subsequent update to the
distributed ledger network.
Inventors: |
Hunn; Peter Geoffrey Lerato;
(Irving, TX) ; Selman; Daniel Charles;
(Winchester, GB) ; Simeon; Jerome; (New York,
NY) |
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Applicant: |
Name |
City |
State |
Country |
Type |
DocuSign, Inc. |
San Francisco |
CA |
US |
|
|
Prior
Publication: |
|
Document Identifier |
Publication Date |
|
US 20200357084 A1 |
November 12, 2020 |
|
|
Family ID: |
1000006178457 |
Appl. No.: |
16/761184 |
Filed: |
November 1, 2018 |
PCT Filed: |
November 1, 2018 |
PCT NO: |
PCT/US18/58813 PCKC 00 |
371 Date: |
May 1, 2020 |
Related U.S. Patent Documents
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Application
Number |
Filing Date |
Patent Number |
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62580407 |
Nov 1, 2017 |
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62609341 |
Dec 22, 2017 |
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62618483 |
Jan 17, 2018 |
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62639412 |
Mar 6, 2018 |
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62643647 |
Mar 15, 2018 |
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62651165 |
Apr 1, 2018 |
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Current U.S.
Class: |
1/1 |
Current CPC
Class: |
G06Q 50/18 20130101;
H04L 9/32 20130101 |
International
Class: |
G06Q 50/18 20060101
G06Q050/18; H04L 9/32 20060101 H04L009/32 |
Claims
1. A method comprising: establishing a contract, which comprises
generating a set of programmable clauses for the contract by
implementing a templating system comprised of a template model that
contains the data elements of each programmable clause of the set
of programmable clauses; operating a blockchain network between
participants, wherein the blockchain network is configured with an
application model that maps to the template model; updating the
contract state; updating the blockchain network according to the
application model; in response to at least one update to the
contract state, recording an update to the blockchain network; and
in response to at least one contract-associated update in the
blockchain network, initiating execution of at least one
programmable clause of the contract and recording a subsequent
update to the blockchain network.
2. The method of claim 1, wherein establishing the contract is
performed through a contract management platform, wherein the
contract management platform provides an off-chain network for
maintaining the contract.
3. The method of claim 2, wherein initiating execution of at least
one programmable clause of the contract comprises of invoking
execution of the contract off-chain on the contract management
platform, and wherein recording the subsequent update to the
blockchain network comprises of outputting a transaction object to
the blockchain network from the executed contract.
4. The method of claim 2, wherein in response to the at least one
update to the contract update further comprises invoking execution
of the contract through the contract management platform and
thereby outputting a transaction object to the blockchain that is
recorded to the blockchain network.
5. The method of claim 1, wherein the contract is embedded in a
blockchain network node for each participant; and wherein operating
a blockchain network between participants further comprises each
participant independently invoking execution of the contract in an
application virtual machine on the blockchain network.
6. The method of claim 1, further includes compiling the contract
on a blockchain network; and, wherein operating a blockchain
network between participants further comprises each participant
independently invoking execution of the contract natively on the
blockchain network.
7. The method of claim 1, wherein establishing a contract comprises
creating an application programming interface of a programmable
clause, wherein at least one application model object in the
blockchain network is configured to initiate a callback request to
the application programming interface endpoint of the programmable
clause.
8. The method of claim 1, wherein generating the programmable
clause comprises embedding the template model that contains the
data elements of the programmable clause in contract natural
language.
9. The method of claim 8, wherein implementing a templating system
further initiates an application programming interface endpoint
enabling an outside client device to instantiate the logic of the
programmable clause or submit input.
10. The method of claim 1, wherein operating the blockchain network
comprises of defining assets, participants, and transactions of the
application model.
11. The method of claim 1, wherein operating the blockchain network
comprises updating the blockchain network in response to external
sources.
12. The method of claim 1, wherein updating the blockchain network
comprises receiving a data update from a network connected
device.
13. The method of claim 1, wherein updating the contract further
comprises triggering an external resource using an updated contract
state.
14. The method of claim 1, wherein updating the contract state
further includes receiving an external request and updating contact
state according to properties of the request; further comprising
communicating a response to the request.
15. A system for a data-driven contract comprising: a templating
system comprising of at least one reusable template model that
contains contract data elements of the contract and that is applied
to the data-driven contract; a blockchain distributed ledger
network operated according to an application model that maps to the
template model; an execution engine that executes contract data
elements in accordance to changes in the blockchain distributed
ledger network; wherein the execution engine is configured to, in
response to an update to the contract state, record an update to
the blockchain distributed ledger network; and wherein in response
to an update in the blockchain distributed ledger network that is
contract-associated, the blockchain distributed ledger network is
configured to initiate execution of at least one programmable
clause of the contract at the execution engine, and, according to
the output of the execution of the at least one programmable
clause, the execution engine is further configured to record a
subsequent update to the blockchain distributed ledger network.
16. The system of claim 16, further comprises: a contract
management platform that manages the contract and provides an
interface for user contract management; a contract repository
system that stores the contract; and a contract state system that
maintains data relating to contract events and state.
17. The system of claim 16, further comprising a compiler that
compiles the contract for execution on the blockchain distributed
ledger network and an execution engine native to the blockchain
distributed ledger network.
18. The system of claim 16, wherein the contract logic of the
contract is linked to external sources through a mapping in the
blockchain.
Description
CROSS-REFERENCE TO RELATED APPLICATIONS
[0001] This application is a U.S. patent application claiming the
benefit of PCT International Application No. PCT/US18/58813, filed
on 1 Nov. 2018, which claims the benefit of U.S. Provisional
Application No. 62/580,407, filed on 1 Nov. 2017; U.S. Patent
Application No. 62/618,483, filed on 17 Jan. 2018; U.S. Patent
Application No. 62/609,341, filed on 22 Dec. 2017; U.S. Patent
Application No. 62/639,412, filed on 6 Mar. 2018; U.S. Patent
Application No. 62/643,647, filed on 15 Mar. 2018; U.S. Patent
Application No. 62/651,165, filed on 1 Apr. 2018; all of which are
incorporated in their entireties by this reference.
TECHNICAL FIELD
[0002] This invention relates generally to the field of blockchain
and distributed ledger technologies, and more specifically to a new
and useful system and method for a blockchain-based network
transitioned by a legal contract.
BACKGROUND
[0003] A contract is a legally enforceable agreement to exchange
value such as goods, services, or property. Contracts are a
fundamental tool for coordinating economic activity. Four of the
basic stages of contracting are: formation, performance,
renegotiation and amendment, and termination. Written contracts are
typically paper-based or computer-based digital representations of
paper-based contracts often signed and stored in PDF format.
Contracts are made of up numerous distinct clauses that establish
basic information and contain the parties' rights and obligations.
Clauses may be made up of a single sentence or a paragraph, and are
grouped together topically, and often hierarchically, by sections.
Contracts are typically structured so that clauses make
intra-document references to one another, either in the same
section or across different sections. Modern contracts are
typically made up of the following clauses and sections: a
preamble, identification of the parties, recitals, definitions, the
exchange of value and the parties' other obligations (including
actions the parties should and should not undertake),
representations, warranties, conditions, and several boilerplate
clauses such as choice of law, assignment, and entire agreement
(merger) clauses. Other clauses may also be used.
[0004] Contractual clauses are currently static expressions.
Although the external environment and the parties' conduct pursuant
to the contract may change over time, the terms and conditions of
the clauses do not change after the contract is formed unless there
is a legal amendment (modification). Contract amendment may require
the assent of both parties; but it may be unilateral. Accordingly,
under existing technology and practices the contract serves as a
static documentary record of the agreement as of the date of
execution.
[0005] Legal contracts are also typically unable to utilize data.
The computerization of commerce and commercial activities means
that data is increasingly available and used in all aspects of
business. This is likely to increase significantly with the advent
and maturation of the `Internet of Things`, particularly in
industry, which provides real-time or near real-time data as to the
state of commercial activities. Legal contracts that are stored on
paper are isolated/siloed from data as they have no native means of
connecting to any form of electronically stored information or
computation. Contracts that are written and stored in electronic
form are similarly unable to utilize data; despite being in
electronic form, such contracts are nonetheless just as static as
paper-based contracts as they have no electronic means of
responding to, acting upon, receiving, or sending data after they
are formed.
[0006] A variety of electronic systems may be used to assemble,
manage, and analyze legal contracts. Electronic document assembly
programs provide standardized templates that users complete with a
contract's specific terms to generate an executable agreement.
Software also analyzes contracts terms and conditions to ensure
consistency and whether an agreement contains certain contract
rights or fulfills specific business objectives. Contract Lifecycle
Management (CLM) or contract management software creates a
centralized repository of documents that captures/extracts data,
often from paper-based documents, relevant to the user's
obligations under each legal contract. That data used to monitor
the performance of obligations, manage business milestones, and
provide some basis for business analytics. CLM software creates a
system and layer of software and data separate from the actual
contracts the CLM system assists in managing. No aspect of CLM
software, by itself, has the ability to constitute or amend legally
enforceable contract rights, obligations, or parameters--distinct
from the underlying contracts that are managed. Management is
largely performed manually by users of the CLM software.
[0007] Various initiatives are also underway to automate and
execute aspects of contract performance, often by using distributed
ledger implementations, sometimes referred to as "smart contracts".
Distributed ledgers (also known as "shared ledgers", "replicated
ledgers" or, in specific implementations, "blockchains"), are a
type of database architecture where a single record of data is
spread throughout and viewable by numerous entities, and typically
updated according to a robust consensus protocol/algorithm. Despite
many of these more recent developments, legal contracts are
typically still executed and managed in their static states (with
the same terms and conditions as they are initially formed). In
addition, despite the use of the term `contract`, smart contracts
are often simply coded scripts (often with state) that execute and
perform processes or transactions on a blockchain or distributed
ledger and are divorced from any legally enforceable contract and
the contractual rights and obligations of any party. The term
`contract` in the foregoing sense may therefore be somewhat of a
misnomer.
[0008] Thus, there is a need in the digital contract management
field to create a new and useful system and method for a
blockchain-based network transitioned by a legal contract. This
invention provides such a new and useful system and method.
BRIEF DESCRIPTION OF THE FIGURES
[0009] The present invention is illustrated by way of example, and
not by way of limitation, in the figures of the accompanying
drawings in which:
[0010] FIG. 1 is a schematic depicting an exemplary structure of a
templating system;
[0011] FIG. 2 is a flow diagram of a method of a preferred
embodiment;
[0012] FIG. 3 is a schematic depicting an exemplary structure and
interaction between an execution engine, contract state storage
system, and external input and output resources;
[0013] FIG. 4A depicts a pre-formation `save contract` event object
instantiated on a contract state system and shared on a blockchain
distributed ledger network and an exemplary associated on-chain
script for instantiating an on-chain audit log of contract events;
and
[0014] FIG. 4B depicts an event object indicating a state change of
a contract from `drafting` to `signing` status instantiated on a
contract state system instantiated on a blockchain distributed
ledger network.
[0015] FIG. 5 is a schematic depicting an exemplary structure of an
exemplary contract management platform;
[0016] FIG. 6 is a schematic depicting an exemplary structure of a
clause within a contract;
[0017] FIG. 7 is a depiction of the exemplary `layers` of the
system and method;
[0018] FIG. 8 is an exemplary visualization of a model, request,
and response types for a template's interface to an external
resource;
[0019] FIG. 9 is a schematic depicting an exemplary template
instance, request, response, and emission of events at the
execution engine;
[0020] FIG. 10 is a schematic depicting an exemplary implementation
of the components of the system and method;
[0021] FIG. 11 is a schematic depicting an alternate exemplary
implementation of the system and method;
[0022] FIG. 12 is a schematic depicting an alternate exemplary
implementation of the system and method;
[0023] FIG. 13 is a depicting an application of the system and
method in an exemplary scenario of enforcing a perishable goods
clause of a contract using IoT sensor transaction inputs;
[0024] FIG. 14 is a schematic of an example compiler
architecture;
[0025] FIG. 15 is a schematic of an example showing how the
compiler may be imbedded in the system;
[0026] FIG. 16 is an example template model;
[0027] FIG. 17A is an exemplary template model for a late delivery
and penalty clause in a typical legal contract;
[0028] FIG. 17B is an exemplary marked up template (template
grammar) for a late delivery and penalty clause in a typical legal
contract;
[0029] FIG. 17C is an instance of the contract clause for a late
delivery and penalty clause in a typical legal contract;
[0030] FIG. 18A is an exemplary template request;
[0031] FIG. 18B is an exemplary template response;
[0032] FIG. 19 is a schematic depicting an implementation of a
contract being executed on a node of a distributed ledger
system;
[0033] FIGS. 20-23 are schematic representations of exemplary
implementation scenarios of the method;
[0034] FIG. 24 is an example of using a JavaScript function to
implement the template logic;
[0035] FIG. 25 is an object showing an exemplary request and
response;
[0036] FIG. 26 is a parsing result that is a JSON serialized
instance of a template model;
[0037] FIG. 27A is a high level architecture of an example for a
perishable goods use case;
[0038] FIG. 27B is an example of a shipment being tracked on the
blockchain network for the example for a perishable goods use
case;
[0039] FIG. 27C shows participant state stored on the blockchain
for the perishable goods use case;
[0040] FIG. 27D is a simulation of submitting an exemplary IoT
transaction for the perishable goods use case;
[0041] FIG. 27E is a template model in the modeling language for
the perishable goods use case;
[0042] FIG. 27F is a transaction processor function for the
ShipmentReceived transaction for the perishable goods use case;
[0043] FIG. 27G is an exemplary template grammar for the "template"
for the perishable goods use case;
[0044] FIG. 27H is a template model for an exemplary perishable
goods template; and
[0045] FIG. 27I is an exemplary business logic for a template
written in JavaScript for the perishable goods use case.
DESCRIPTION OF THE EMBODIMENTS
[0046] The following description of the embodiments of the
invention is not intended to limit the invention to these
embodiments but rather to enable a person skilled in the art to
make and use this invention.
1. Overview
[0047] The system and method functions to enable legal contracts to
be managed and executed in a manner in which at least part of the
execution of the legal contract is automatable in association with
a blockchain or distributed ledger network (BDL). A contract is
preferably at least partially computable/machine readable. Such
contracts may be termed `data-driven`, `computable`, `electronic`
and/or `smart`. Execution of a contract is preferably achieved by
exposing external data to the contract to drive the computable
aspects of the contract. A contract may be composed of one or many
executable logic clauses. These logic clauses may take the form of
programmable clauses as outlined in U.S. patent application Ser.
No. 15/476,791, filed 31 Mar. 2017, which is hereby incorporated in
its entirety by this reference. The system and method may include a
contract management platform, a contract repository system, a
contract state system, a templating system, a compiler, an
execution engine, and a blockchain/distributed ledger network.
[0048] Herein, blockchain/distributed ledger (BDL) is used to refer
to distributed ledgers and/or more specific consensus-based
blockchain solutions, wherein any suitable variation of such
systems may be used. References to BDL systems, platforms,
integrations, transactions and the like could be distributed ledger
variations or blockchain variations. Cryptographic databases,
and/or other suitable systems with BDL-like features may be
additionally or alternatively used as the BDL components.
[0049] Automated transactions are preferably executed according to
the terms of a legally binding agreement to provide companies with
certainty and the ability to be compensated if something goes
wrong. Traditional smart contracts that are executed apart from a
legal agreement may be fully integrated into an enterprise digital
transformation strategy. Fundamental transformation through the
system and method may enable consolidating systems end-to-end and
involving a company's legal agreements.
[0050] As depicted in exemplary form by FIG. 7, the system and
method preferably operate through components that can be generally
characterized by a number of operational layers. An inbound channel
(data) layer may comprise inputs to a contract from a variety of
external sources. A business logic (computation) layer may comprise
executing contracts based upon inbound channel inputs. A
persistence layer may comprise maintaining and storing all
contract-associated data. An outbound channel (transaction) layer
may comprise executing external actions from the logic of the
contract (e.g., API calls, transactions on a blockchain/distributed
ledger, etc.).
[0051] The inbound channel (data) layer is responsible for
receiving events from the outside world, and transforming them into
a representation suitable for execution. This includes dealing with
timers and scheduled execution of a contract. It can also perform
role mapping if necessary from the user roles defined by the
external system to the user roles required by the computing system.
Examples of inbound channel activity may include (but are not
limited to): HTTP POST, JMS dequeue, Cron timer, invocation from a
BDL or oracle system, invocation from an API, invocation from an
Internet of Things or network-connected device, and invocation from
a blockchain or distributed ledger.
[0052] The persistence layer exposes a basic
create/read/update/delete API over content-addressable storage.
Implementations could be backed by a centralized database (e.g.,
such as a centralized/trusted database like MongoDB), a
blockchain/distributed ledger such as Hyperledger Fabric,
(distributed permissioned) or Ethereum mainnet (distributed
permissionless) or InterPlanetary File System (distributed,
permissionless) or other suitable content-addressable storage
system (WORM drive, or proprietary system).
[0053] The business logic layer executes the logic for a contract,
which may be facilitated through an execution engine. The execution
engine can determine the correct engine extension to use, based on
the metadata for the contract. If the business logic for the
contract is expressed in a form of legal DSL, then it delegates the
call to the virtual machine (e.g. a WebAssembly stack machine). The
server, execution engine, and VM may pull data into the execution
context via persistence layer service extension points that support
basic create/read/update and delete operations on templates,
clauses and arbitrary objects (JSON data). Any events emitted by
the business logic are preferably then forwarded to the outbound
channel tier.
[0054] The execution engine may be responsible for managing the
contract execution context and chaining the execution of dependent
logic clauses within a contract. The results of execution, and the
modified context state, are preferably sent to the persistence tier
for persistence to ensure deterministic execution,
high-availability and recoverability.
[0055] The outbound channel (transaction) layer is preferably
responsible for secure and reliable communication with external
systems. The outbound channel may include retry/backoff logic to
deal with external systems that are slow or temporarily
unavailable. Any state required is preferably held in the
persistence layer. Example outbound channels may include (but are
not limited to): HTTP POST, JMS enqueue, SMS send, push
notification, API-based event (e.g. payment, API-based, and
invocation/execution of a blockchain/distributed ledger operation
(e.g. invocation of a on-chain script or data-driven contract).
[0056] The system and method may provide a number of potential
benefits, in addition to other benefits not provided here.
[0057] As one potential benefit, the system and method may enable
users (e.g., lawyers, contract managers, and business
professionals) to turn traditional, legally binding agreements into
executable legal contracts. It may accomplish this through an
easy-to-use system for enabling legal contracts to be executed in
response to external data and be connected to a wide variety of
software systems and platforms, including blockchain and
distributed ledgers.
[0058] The system and method may provide the potential benefit of
mitigating or removing issues relating to the management of
contracts using CLM systems. Contract state may be visible to users
in real-time or near real-time using the system and method. Using
the system and method significantly reduces the need to rely on
`proxy`information about a contract, and the need to manage a
contract `indirectly` as is often the case with CLM systems that
manage data about, or extracted from, the contract rather than the
contract itself.
[0059] As another potential benefit, the system and method may
avoid many issues with executing contracts on a BDL, such as
improving scalability, improving privacy of computation;
facilitating versioning and increasing flexibility/amendment of
contract code; improving on-chain security through standardization
of code (e.g. via an on-chain library), and more. One particular
benefit is that the system may reduce computation costs and
increasing on-chain transaction by selectively using BDL systems
(or not using a BDL at all). All validating nodes on a BDL or other
such network may--as is typically the case--not have to process
every transaction as this may occur at least partially `off-chain`.
As such, transaction or computation costs (e.g. `gas`) may be
reduced as only the transactions/state that require global state
are actually executed or broadcast on-chain. The system and method
may also natively use more than one BDL system. These attributes
may be achieved by the system and method by avoiding global state
transmission for all transactions such that the contract layer
(where state may only be shared between the parties and relevant
third parties) and transaction layer (where global state consensus
may be needed to perform transactions that require transmission to
parties other than those to the contract, such as the recording of
a transfer of real property--that may be reflected as an on-chain
token) are separate.
[0060] Furthermore, the system and method may provide executable
code to be paired directly with natural language text of a document
to provide an executable legal contract. The system and method also
enables static natural language contracts to have executable
functionality--providing users with real-time state and performing
operations on external resources based upon the current state of
the contract (e.g., updating the state of an invoice on an
accounting system via API). As another potential benefit, the
templating functionality may enable lawyers and other business
professionals to create and execute contract documents in a manner
capable of utilizing blockchains and distributed ledgers in a
user-friendlier manner that is more attuned to existing legal
practices. For example, a general-purpose blockchain programming
language (e.g., Solidity) may not be required at the contract
level, and a more appropriate legal domain specific language (DSL)
may be used for expressing the legal contract logic. Furthermore,
on-chain complexity may be abstracted away through the use of
standardized on-chain code that interfaces with the contract,
meaning that the user does not need to concern themselves with the
programming of blockchains/distributed ledger systems, but only
ensuring appropriate actions are taken at the contract level. This
has the benefit of separating concerns between the BDL system and
operations performed thereon, and the legal contract; both of which
may have different administrators, maintainers, and direct
users.
[0061] As another potential benefit, the system and method may
provide legal contract execution that is deterministic, verifiable,
and auditable. This is not possible in existing legal contracts.
This may be run wholly off-chain (e.g. where it may provide
beneficial).
2. System
[0062] As shown in FIG. 10 a system of preferred embodiment may
include contract management platform (CMP) 110, a contract
repository system (CRS) 120, a contract state system (CSS) 130, a
templating system 140, a compiler 150, an execution engine 160, and
a blockchain/distributed ledger (BDL) network 170. The system may
function to enable creation and implementation of an data-driven
contract in association with a BDL system. The system is preferably
used in transitioning a BDL network 170 in accordance with a legal
contract as established and managed through the system. The system
may function with additional components or fewer components, as
desired, or with alternate configurations. For example, FIG. 11
depicts unidirectional interaction of the execution engine with the
BDL, and FIG. 12 depicts an example of the system with an alternate
configuration of the execution engine that includes private key and
listener components for enhanced security. FIGS. 10, 11, and 12
each show one implementation of triggering a transaction on a BDL
system and transitioning the network.
Contract Management Platform
[0063] The CMP 110 of a preferred embodiment functions to manage a
contract. The CMP no may be used by a user to edit, negotiate,
form, execute, manage, and analyze contracts. A contract may take
any suitable form or structure as decided by the contracted
parties. Preferably, a contract is composed, at least partially, of
machine-readable/computable components. A contract may preferably
have a class-like structure with clauses as methods. Contract
clauses may be composed of both machine-readable contractual
clauses and natural language clauses. Clause logic may be written
in an expression language with limited expressiveness, allowing
conditional and bounded iteration. Programmable clauses preferably
have a well-defined signature (i.e. input and output) that are
functions.
[0064] A programmable clause preferably functions as the executable
clause logic within the contract. A programmable clause may take
the form of `programmable clauses` as outlined in U.S. patent
application Ser. No. 15/476,791, filed 31 Mar. 2017.
[0065] The CMP 110 preferably includes (but is not limited to): a
contract editor (which may form part of a wider Integrated
Development Environment), a template library for both clauses and
contracts, and various dashboards for viewing the contract state
and contract data (e.g. audit trails), as well as analytics
pertaining to contract data and state. A contract may be formed
through the CMP 110 using the contract repository system. A
contract may be executed in that repository, or using other
approaches, by the execution engine 160. The CMP 110 may enable a
user to analyze the state of the contract. Data pertaining to the
state of a contract may be obtained from the Contract State System,
and/or a blockchain/distributed ledger, and/or any other external
resource. In a preferred embodiment, the CMP no may take a form
substantially similar to that outlined in U.S. patent application
Ser. No. 15/476,791. FIG. 5 depicts an exemplary form of a CMP 110.
However, the CMP no may take any suitable form. The CMP no may be
provided as a cloud-based multi-tenant platform, a desktop client,
or by any other suitable means.
Contract Repository System
[0066] The CRS 120 of a preferred embodiment functions to store
contract related data. Preferably contract related data includes
all of the data pertaining to a contract. Contract related data
preferably includes, the contract template and logic. An exemplary
depiction of the CRS 120 in relation to other components of the
system is shown in FIG. 10.
[0067] Preferably, the CRS 120 consists of a series of
repositories. Each contract may be stored as a repository
consisting of a variety of clauses as shown. A repository may be
publicly accessible or may be private to a given subset of users.
For example, access to the system and a given set of repositories
may be conditioned upon a user belonging to a given organization or
party to a specific contract. The CRS 120 may function in
association with or independently of the CMP 110. The CRS 120 is
preferably accessible from the CMP 110. The CRS 120 may be a
multi-tenant cloud-based system a locally hosted system, on or as
part of a peer-to-peer network (e.g. utilizing a distributed file
system such as InterPlanetary File System), or take the form of any
suitable data storage system.
Contract State System
[0068] The CSS 130 of a preferred embodiment functions to store
data pertaining to versions of the state of a contract. The CSS 130
preferably functions in conjunction with the CRS 120. The CSS 130
enables the versioned state of the contract to be stored between
the contracting parties in both the pre-formation phase (i.e.,
prior to execution), such as when a contract is negotiated/edited,
and post-formation (i.e., when the state of a contract changes
whilst being executed). Each party to a contract may have a copy of
a CSS 130 that maintains the contract state.
[0069] The versioned contract state may be kept as an object graph
that preferably performs the function of storing contract state
through a series of objects in both the pre-formation and execution
stages of a contract life cycle. Object examples are depicted in
FIGS. 4A-4B and 9. The object graph preferably takes the form of a
Merkle directed acyclic graph (DAG) data structure, but may take
other forms. Objects may represent any state update, transition,
event, operation, and/or contract component. Contract state may be
an output from a contract (see FIG. 9), or used as an input to a
contract. The CSS 130 may use any suitable backend for persistence
of objects (e.g. a distributed file system, database, object
store). Other approaches to storage and persistence of contract
state data may be used, such as key-value stores, distributed hash
tables, distributed file systems, databases, etc.
[0070] Objects or other data from the CSS 130 may be pushed on to a
BDL 170 as a record of an event occurring (e.g., to share state
such as the reference of an object). Contract events emitted from
the execution engine may be instantiated on the CSS and/or a BDL as
a distributed record. Any suitable event that pertains to the
contract may be instantiated. Examples of such events may include
(but are not limited to) contract signing, contract edits, executed
side effects (such as API triggers e.g., payments, on-chain code
execution, etc.), status events (e.g., contract transitions between
lifecycle statuses such as a contract being in `running`,
`signing`, `completed`, `terminated` states as shown in FIG. 4B).
This data is preferably generated by execution of the logic (either
on-chain or off-chain) and operations within the CMP (e.g. signing,
changes to clauses, etc.), where applicable.
[0071] An object instantiated on-chain may include, for example, a
unique identifier, a timestamp, the identifier of the related
contract and/or clause, the identifier of the user or system that
performed the action (if applicable), data schema declarations and
any additional data specific to the type of audit trail object.
Additional and/or alternative data may be instantiated. Objects
instantiated on a BDL may make use of a BDL script. A BDL-based
script may be utilized to instantiate an `audit log` (see FIGS. 4A
and 4B). Such an audit log may be particularly useful for
sharing/instantiating events that may not transition the state of
the network between participants (e.g., pre-formation/pre-execution
events). Such events may also be instantiated on a separate ledger
structure, chain, or channel (e.g. one accessible to a different
set of participants, solely the contracting parties, non-network
participants, etc.) to that used for events that transition the
state of the network, as mentioned herein.
[0072] Objects or other data may also be used by the contract logic
to execute operations, events, execute calls to the on-chain code,
or to transition the state of the contract. Other applications of
the CSS 130 and CSS data may also be used.
Templating System
[0073] The templating system 140 of a preferred embodiment
functions to bind natural language text to executable contract
logic in a reusable manner. The templating system may provide the
technology to formalize a set of legally enforceable executable
clauses with a contract. Executable contract logic may be expressed
in any general-purpose language, high-level language, low-level
language, machine code, bytecode, markup or markdown language, or
any other suitable approach or combination of approaches. A domain
specific language (DSL) for legal contracts is preferably used, but
any suitable language may be used. The templating system may be
made of three components: a template grammar, a template model, and
a template logic as seen in FIG. 10. The template grammar may
consist of natural language contract text that identifies
data-oriented variables (e.g. price, date, etc.). The template
model may provide a framework for categorizing the variables and
the components of the business context that "activate" the
contract. In some variations, the template model can mirror or
otherwise map to an object model of the BDL network 170. The
template's logic may be used to execute the contract once the
elements of a legal contract and the business context are
categorized with a data-oriented modeling language.
[0074] Templates may be for contracts comprising of a single clause
or for contracts comprising of multiple clauses. For simplicity,
this document will mainly refer to single contract clause
templates, but templates may equally function for multi-clause
contracts. Templates may support extensible representations of
their execution logic. Additionally, a contract may incorporate
multiple templates. Many different execution paradigms (e.g.,
rule-based, logic inference, temporal, finite state machine,
functional, etc.) may be used. Templates (with or without
executable logic) may be hashed using a cryptographic hashing
process and stored in content addressable storage systems as shown
in FIG. 7. Templates may support one or more locales, allowing the
template to be edited or visualized in different languages, whilst
preserving a single locale-neutral executable representation.
Templates are preferably stored in the CRS 120. Alternatively or
additionally, a package manager, other repository system, or any
other database or data storage mechanism may be used. A template
may include (but is not limited to): metadata, such as name and
version; modeling language models, which define the template model,
request, response and any required types; template grammar for each
supported locale; a sample instance, used to bootstrap editing, for
each supported locale; and executable logic.
[0075] FIG. 1 depicts an exemplary high-level structure of a
preferred templating system. The following is intended to be
indicative of one approach, and non-limiting. Preferably, a
templating system 130 will function at a `clause level`, such that
a contract may be composed of a variety of swappable, executable,
programmable clauses. Clause level functionally may have the
potential benefit of enabling executable programmable clauses to be
embedded in, instantiated in, or added to, natural language
contract documents, rather than requiring a new template. As such,
the following shall refer to templating systems for single
programmable clauses, but may equally apply to any other form of
templating system (e.g., multiple clauses, whole contracts, etc.).
A templating system for a programmable clause is preferably
comprised of annotated legal text and accompanying template model
that defines the assets, participants, concepts and events that are
relevant to the programmable clause. The execution logic for the
programmable clause is preferably in a legal contract Domain
Specific Language (DSL), (FIG. 1(1)). Variables and expressions in
a template are preferably expressed in terms of a typed data model
that captures all the concepts of relevance to the clause. The
template model technology allows importing concepts from
namespaces, allowing concepts to be shared across templating
systems (FIG. 1(2)).
[0076] Templating System: Packaging
[0077] A template may be packaged as a set of components, which may
be stored in a CRS filesystem or similar. An exemplary set of
components that may define a template can be: [0078] metadata, such
as template name and version; [0079] models, which define the
template model, any required types, and may also include any
request and response events; [0080] template grammar for each
supported locale; [0081] a sample instance, used to bootstrap
editing, for each supported locale; and [0082] executable
logic.
[0083] Templates may be packaged and distributed as zip archives or
other suitable packaged formats, or read from: a directory, a
source code repository, repository files system (e.g. CRS), a
package manager, or any other suitable means. Each of these
distribution mechanisms may support slightly different use cases. A
directory-based package may be useful during testing, and may allow
changes to the template to be quickly tested with no need to
re-package. A source code repository package may allow templates to
be distributed and versioned as publicly or privately accessible
libraries. A package manager version may allow dependencies on
templates to be easily declared for Node.js and browser-based
applications, and it may integrates with CI/CD tools.
[0084] Template Packaging: Metadata
[0085] The metadata for a template is preferably stored in a text
file (e.g., `/package.json`).
[0086] The name property preferably consists of a naming pattern
following a pattern such as [a-z][A-Z][.]. It is preferred that the
name be prefixed with the domain name of the author of the clause,
to minimize naming collisions. The version property can be a
semantic version of the form major.minor.micro using a naming
pattern such as [0-9].[0-9].[0.9]. This data format ensures that a
template can be published to the npm package manager for either
global or private (enterprise-wide) distribution.
[0087] Alternative and/or additional properties such as `locales`
and `jurisdictions` may be added as future.
[0088] Template Packaging: Markdown File
[0089] The root of the template may also contain a markdown file or
other suitable type of documentation file to explain the purpose
and semantics of the template. This file may be displayed by tools
to preview the template or provide usage instructions.
[0090] Template Packaging: Template Grammar
[0091] The template grammar files for the natural language used by
the template may be stored in the `/grammar/` folder. Any grammar
files placed directly within the `grammar/` folder may be
considered to be locale neutral and can be used if the user does
not specify a locale.
[0092] Locale specific grammars (for templates that support
multiple locales) should be organized by locale, hence a grammar
for the English locale should preferably be placed in `/grammar/en`
while a grammar file for the French locale should be placed in
`/grammar/fr`.
[0093] The locale folder may optionally contain a configuration
file (e.g., `config.json`) that describes the template in the
language of the locale. If no such file is present then the
description of the template is preferably read from the description
property of the metadata file.
[0094] Template Packaging: Template Model
[0095] The template model for a clause is preferably stored in a
set of files under a `/model` folder or similar. The template model
files should preferably be in the format defined by the modeling
language. All template models for the template are in-scope and
types from all namespaces may be imported as shown in the import
statements of FIG. 16.
[0096] Templating System: Executable Logic
[0097] The executable logic for a clause is preferably stored under
a logic folder (e.g. `/lib`). The folder may also contain a
configuration file (e.g., `config.json`) that specifies the
language and options used to express the executable logic. The file
may also contain other options specific to the execution of the
logic.
[0098] An execute command may be used to load a template from a
directory on disk, instantiate a clause based on input text, and
then invoke the clause using an incoming payload (e.g., JSON
request payload).
Templating System: Parsing
[0099] The template model is preferably a component of the
templating system. The template model for a programmable clause
comprises of the data elements of the programmable clause such as
in example FIG. 27H. The template model may function to define
formal semantics for the programmable clause. The template model
preferably defines the data in a region neutral representation that
the template requires. The template model may also enable powerful
search, filtering and organization of templates. For example, by
the template model may enable finding all templates related to a
concept X, or all templates that can process a transaction of type
Y.
[0100] The template model preferably captures a machine-readable
(and hashable) representation of the executable data extracted from
the programmable clause (FIG. 1 (5)). The template model may be
captured using any appropriate modeling language. Preferably, the
modeling language takes the form of a lightweight schema language
(e.g., Hyperledger Composer Modeling Language (CML) format) that
defines namespaces, types and relationships between types. The
modeling language preferably includes first-class support for
modeling model objects such as participants (individuals or
companies), assets, transactions, enumerations, concepts, events,
obligations, legal interests, and/or other suitable object types.
The modeling language may include various features of an object
oriented modeling language, including inheritance, meta-annotations
(decorators), and field specific validators. The members of the
modeling language, e.g. contracts, programmable clauses,
expressions, operators, may preferably be in a region-neutral,
context-free grammar form (e.g., Backus-Naur form). In addition,
the language may include formal semantics defining transitions from
the contract state input to the contract state output. The language
may also define serialization of instances (e.g., to JSON), and
validation of instances (e.g., making it easy to integrate with a
wide variety of JSON capable external systems).
[0101] Template models may be packaged for distribution (e.g., as
npm modules or any suitable format). The template models can
declare dependencies on other template models, reducing the
technical barrier to entry to creating an ecosystem of mutually
reinforcing industry standard models. Other approaches, features,
characteristics, support, technologies, data models, bindings,
formats, and the like may be used.
[0102] In an example modeling language, the template model may look
like FIG. 16. The template model for the programmable clause
captures unambiguously the data types defined by the programmable
clause. In this example, the "Duration" data type is imported from
a namespace, which defines a library of useful reusable basic types
for contracts (e.g. `time` concepts as shown in FIG. 16). In the
example, the @Template decorators are used to bind the concept to
the programmable clause. In such an exemplary implementation, a
single concept within the model files for the template may have the
@Template decorator.
[0103] At least two types of variable definitions may be supported
by the templating system 140: Boolean bindings, that may set a
Boolean property in the template model based on the presence of
text in the contract clause; and Binding, that may set a property
in the model based on a value supplied in the contract clause.
Variable types are preferably extensible and upgradable such that
other types of bindings may be used. Any variable types within the
template model may have an associated template grammar file. For
example, the "Duration" type may have a template grammar that
captures the syntax for how to enter calendar durations in English,
French, etc. These dependent template grammars are preferably
merged into the template grammar for the root type for the template
(the type with the @Template decorator).
[0104] The template grammar is preferably a component of the
templating system 140. The template grammar functions to make a
contract clause executable by relating the template model for the
associated programmable clause to the natural language text that
describes the legally enforceable clause. The template grammar for
a contract clause may thus comprise of the natural language for the
contract clause with bindings to the template model using markup
language. In this manner, the template grammar may determine what a
syntactically valid contract clause can look like. A markup
language may be of any arbitrary complexity.
[0105] A parser is preferably a component of the templating system
140. The parser may function to generate an instantiation of the
contract clause as shown in FIG. 26. A parse command may be used to
load a template from a directory on disk and then use it to parse
input text, echoing the result of parsing. If the input text is
valid the parsing result can be a JSON serialized instance of the
template model. The instantiation of a contract clause generated by
the parser may be automatically generated from the template grammar
and/or template model associated with the contract clause. The
parser process may be completely automatic and may support
customization of types and nested grammars (FIG. 1 (3)). Language
specification may be inherent to the templating system 140. The
generated output of the parser may now be used to dynamically edit
and validate source programmable clause text (potentially using
code completion, error reporting, etc.). The editor may be embedded
on a webpage, provided as a SaaS service, run within an Integrated
Development Environment (IDE), or any other appropriate form factor
(FIG. 1(4)).
[0106] The output of the template parser is an instance of a
template model (FIG. 1(5)). For example, the output of the template
parser could be a JSON abstract syntax tree that may be deployed to
the execution engine 160 (FIG. 1 (6)-1 (7)). Alternatively, any
suitable approach may be taken and any appropriate technology may
be used.
[0107] An example of the templating system may be provided by a
late delivery and penalty contract clause, as shown in FIGS.
17A-17C. FIG. 17A shows template model that contains the data
elements (i.e. variables) for the contract clause and the data
types, which may include basic and high-level data types (e.g.
Boolean, double, Duration). The data elements captured by this
exemplary clause are: whether the clause includes a force majeure
provision; temporal duration for the penalty provision; percentage
for the penalty provision; maximum penalty percentage (cap); and
Temporal duration after which the buyer may terminate the
contract.
[0108] The Duration data type is higher-level data type, preferably
imported from a namespace, which defines a library of useful
reusable basic types for contracts. The @Template decorators may be
used to bind the modeling language concept to the contract
clauses.
[0109] FIG. 17B shows the template grammar for the aforementioned
late delivery example. As shown, the exemplary markup grammar
contains variables, wherein each variable is embedded in a pair of
hyphens and brackets: "[{variable]}". Any suitable markup
convention may be used to define a variable.
[0110] [{"except for Force Majeure cases,":? forceMajeure}]: this
variable definition is a Boolean assignment. It states that if the
optional text "except for Force Majeure cases," is present in the
clause, then the Boolean forceMajeure property on the template
model should be set to true. Otherwise the property will be set to
false.
[0111] [{penaltyDuration}]: this variable definition is a binding.
It states that the variable is bound to the penaltyDuration
property in the template model. Implicitly it also states that the
variable is of type Duration because that is the type of
penaltyDuration in the model.
[0112] [{penaltyPercentage}]: another variable binding, this time
to the penaltyPercentage property in the model.
[0113] [{fractionalPart}]: another variable binding, this time to
the fractionalPart property in the model. As this occurs twice in
the template grammar, an editor of a preferred embodiment should
auto-replace all occurrences.
[0114] [{capPercentage}]: this is a binding, setting the
capPercentage property on the template model.
[0115] [{termination}]: this is a binding, setting the termination
property on the template model.
[0116] Any types within the template model may have an associated
template grammar file. For example the Duration type may have a
template grammar that captures the syntax for how to enter calendar
durations in English, French etc. These dependent grammars are
merged into the template grammar for the root type for the template
(the type with the @Template decorator).
[0117] The template grammar and the template model are processed by
the parser, creating a syntactically valid instance of the contract
clause, and thus a legally valid, executable, contract clause as
shown in FIG. 17C. The parameters to the contract clause are
highlighted in bold.
Template Request and Response
[0118] Events from external resources (e.g., freight being shipped,
delivered, signed-for etc.) may be exposed to the contract. Those
transactions may be routed to the template so that the template can
take appropriate action. In this example, the action is to
calculate the penalty amount, if delivery is late, and signal
whether the buyer may terminate the contract. Each template may be
invoked as a stateless request/response function. The template's
interface to the external resources may therefore occur through a
request type and a response type. In other words, establishing a
programmable clause through a template can create an API endpoint,
which may be used in transitioning state of the contract or
performing other interactions with the contract. These API
endpoints may be used to deliver input or output to a BDL or other
suitable resources. Other approaches may be used. FIG. 8 depicts an
exemplary visualization of the template model, along with request,
and response types. A Template Request transaction defines the data
that the template needs to receive from the outside world. The
Template Response transaction defines the data that the template
will return when it receives a Template Request.
[0119] Example Request: An example request is shown in FIG. 18A.
The structure of the data that the template requires from the
outside world. This may also be specified in a modeling language or
using any other alternative approach. Given an instance of
`LateDeliveryAndPenaltyRequest` the contract clause can calculate
the current penalty amount and whether the buyer may terminate.
[0120] Example Response: The structure of the template's response,
again using the modeling language, may be captured as shown in FIG.
18B. Execution of the template produces an instance of
`LateDeliveryAndPenaltyResponse`. The contract clause operates as a
function with the signature: `LateDeliveryAndPenaltyResponse
myClause(TemplateModel, LateDeliveryAndPenaltyRequest)`.
[0121] A template request may be used as a transaction defining the
data that the template receives from external resources. The
template response transaction defines the data that the template
can return when it receives a template request as seen in FIGS.
1(6) and 1(7).
Example Template Logic
[0122] FIG. 24 illustrates using a function to implement the
template logic. The standard @param and annotations are used to
bind the function to the incoming request and response types, while
the `@ClauseLogic` annotation indicates to the execution engine
this function is a request processor.
[0123] The context object passed to the execute method encapsulates
the request, response and contract clause data. FIG. 9 represents
an exemplary schematic of an exemplary implementation of the
execution engine acting upon incoming requests to the logic of a
contract template instance, executing the functions of the contract
logic, emitting a response, updating contract state, and emitting
events/obligations back to the caller. Context may be extended to
support extension points for access to historical transactions for
the contract clause as well as identity related information. In the
above example, the execution engine 160 also places a logger object
into scope allowing the contract clause to log debug, log
information, and log warning or error messages.
[0124] The results of execution (e.g. the execution of a JSON
serialized object) may include, but are not limited to:
outputting/logging details of the clause executed (name, version,
SHA256 hash of clause data); generating an incoming request object;
and generating an output response object. One example can be seen
in FIG. 25. State may be maintained at a contract level by
optionally attaching a contract to a state object as shown in FIG.
9, giving the logic of the contract read and write access to the
contract state. Additional and/or alternative data, objects, and
metadata may be included.
[0125] Contract execution may also emit event objects in addition
to a response object. These objects may be emitted to a BDL and/or
stored on a CSS. For example, a contract may emit a payment
obligation object which can be mapped to on-chain BDL script
function calls (e.g. to transition the state of the network). Such
objects may also be modelled in a similar manner to requests and
responses, as shown in FIG. 9.
Compiler
[0126] A compiler 150 of preferred embodiment functions to generate
code from the contract logic for execution. Prior to execution, a
compiler 150 may generate code for execution from the template,
using the contract logic (see FIGS. 14 and 15). The contract logic
may be in any suitable language, as aforementioned, but may be a
domain specific language for legal contracts (e.g. a programming or
markup language). The generated code for execution may be for any
variety of suitable platforms (e.g. BDL 170). The compiler 150 may
include, but is not limited to: [0127] A parser from the contract
logic syntax tree to executable syntax tree; [0128] A type checker,
that checks the validity of the programmable clause logic against
the model and checks the validity of the contract against grammar
and typing rules; [0129] A translation from contract logic syntax
tree to calculus (i.e. optimizer), that "de-sugars" syntactic sugar
to improve code-generation from a simpler calculus; and [0130] A
code-generator from calculus to a target language.
[0131] A compiler 150 may take any suitable form. The compiler 150
may also included target-specific runtime libraries (e.g.
JavaScript operation to create a new contract). In addition,
user-level standard libraries, for core operations (e.g. math
libraries) may also be included. Preferably, the compiler 150
supports formal verification. A reference interpreter can be called
from the compiler 150 to get expected behavior. Compiled code may
be executed and checked against a reference interpreter. The
compiler 150 may also cross-compile to generate executable code for
any other platform (e.g., a given BDL system, virtual machine, a
microcontroller of a resource constrained device such as an IoT
device, etc.). For example, a compiler 150 in the system and method
may generate binary code/bytecode for a BDL smart contract system.
A compiler 150 in a given embodiment may also take the form of a
source-to-source compiler 150.
Execution Engine
[0132] The execution engine 160 of a preferred embodiment functions
to execute the contract. The execution engine 160 may be designed
to be embeddable across a wide-variety of form factors: web,
middleware, SaaS, on-chain execution, off-chain execution, or any
other suitable runtime environment may be used (as per U.S. patent
application Ser. No. 15/476,791). As shown in FIG. 19, the
execution engine 160 may be embedded within a node on a BDL system.
A node on a BDL system is a device on a blockchain network which
preferably serves to process an individual copy of the blockchain.
The BDL nodes can maintain world state across participants and
facilitate consensus. The execution engine 160 may take any
suitable form of computing/runtime environment for executing
contracts. In one embodiment, the execution engine 160 may take the
form of a virtual machine.
[0133] In one exemplary implementation, as shown in FIG. 19, an
executable data-driven contract 103 can be deployed to a BDL node
105. In this example, a templating engine 101 incorporates the
natural language contract 100 along with the contract template
model and contract logic 102. The templating system 140 generates
an executable contract 103. The templating system 140 generates an
executable contract for a variety of target environments. The
contract deployment system 104 takes the executable contract 103
and deploys it to the execution engine runtime of a BDL node 105
where it can receive external system events 106 and send out events
107 to external systems. Events can come in the form of any
internet application level protocol including, but not limited to,
HTTP, MQTT, and XMPP.
[0134] The execution engine 160 may handle a variety of input types
such as data input accessed over a programmatic interface (e.g., a
REST API, GraphQL API, SOAP API, etc.), simple mathematical
transformations of the data from those APIs, event notifications,
data from various blockchain/distributed ledgers, data from the
execution of the contract off-chain or on-chain, and/or other
various sources.
[0135] In one embodiment, the execution engine 160 may operate as a
computing environment that can operate upon content-addressed
Merkle objects, such as the CSS 130. This may, for example, include
using CSS objects as data inputs, computing new state based upon
the objects, and outputting data to the CSS 130 as new objects.
Data inputs may be stored on the CSS 130 or may be obtained from
any other appropriate external resource. By operating on a data
structure like the CSS 130, this may ensure that actions by the
computing environment can be deterministic, reproduced, and
verified. The execution is preferably deterministic such that the
same set of inputs results in the same set of outputs. The actions
of the computing environment may be verified against the data and
logic storage system of the system and method. The execution
history can be stored in an immutable, non-repudiable manner to
enable such verification. The input data, output data/external
actions, and logic are preferably managed by the execution engine
160 such that prior actions performed by the computing environment
can be verified. Alternative approaches may be used. Not all blocks
or steps may be used in a given embodiment, and alternative and/or
additional blocks or steps may be used.
[0136] The execution engine 160 may be run in a shared execution
environment such as public, dedicated, or private cloud
environment, on a shared server, on a peer-to-peer network, or
other appropriate execution environment. This may provide various
scalability and privacy benefits over native BDL-based on-chain
execution, as well as ancillary practical benefits such as enabling
parties to easily calculate and share execution costs (e.g. using
data usage-based pricing). FIG. 3 depicts an example of the
potential interactions between the execution engine 160 and other
elements of the system and method.
[0137] The computing environment may be usable for both on-chain
and/or `off-chain` related applications. Here on-chain can refer to
transactions, smart contract code, chain code or executable scripts
of a BDL system, objects (e.g. from the contract logic, CSS 130,
etc.), or otherwise to data added to a blockchain or distributed
ledger data structure. Off-chain can refer to computing
interactions not on a BDL or those that do not otherwise pertain to
a BDL. The term on-chain is not limited to blockchain
implementations, but is intended to refer to all forms of
blockchain, distributed ledger, and related or similar
implementations or embodiments. In some instances, the system and
method may support the integration of off-chain systems with
on-chain systems. Furthermore, the system and method can act as a
computing environment capable of bridging distinct systems whether
on-chain or off-chain. For example, a contract may be executed
`off-chain` without a number of the associated drawbacks (e.g.,
privacy of execution and network scalability), as well as
integration with on-chain system components (e.g., a distributed
ledger or similar data structure). The interaction may be with one
or more BDLs, and may occur through a variety of different
approaches (see U.S. patent application Ser. No. 15/476,791). For
example, an off-chain execution engine may interact with the
runtime of a BDL system by calling, deploying, invoking or
otherwise interacting with on-chain scripts, code, and other
components instantiated upon, or comprising, a BDL system. The
interaction may also make use of the CSS 130. For example, the
state of a contract may be stored on the CSS 130 which may then
subsequently be used on one or more BDLs.
[0138] The execution engine 160 may be a virtual machine (VM) or
may form part of one. A virtual machine may be web-based,
cloud-based, run on a cluster, or in any other suitable
environment. In some implementations, the system and method may be
implemented through a distributed peer-to-peer system. Peers may be
contracting parties with some interest or involvement in the
contract execution, other parties, other computing systems, and/or
any suitable entity that participates in the collaborative
execution of the system and method. In another implementation, the
system and method may be implemented within a private computing
system or other suitable computing architecture, such as a
cloud-based environment. The VM can be stack based, register based,
a business rules engine, a program interpreter, or any other
suitable type of virtual machine. In one particular embodiment, the
VM may be `off-chain`. An `off-chain` VM may have a number of
advantages as compared to on-chain VMs. An off-chain VM may
interact with the on-chain runtime of a BDL system by calling,
deploying, invoking or otherwise interacting with on-chain scripts
and other components instantiated upon, or comprising, a BDL
system. A VM may be launched from an image for each contract. An
image may be launched from the CMP 110. Alternatively, a VM may run
multiple contracts.
Blockchain/Distributed Ledger Network
[0139] The blockchain/distributed ledger (BDL) component of a
preferred embodiment functions as an all-purpose platform(s) that
may be used for data exchange, contract storage and contract
execution. All, some, or none of these operations may occur on the
BDL component. Any suitable blockchain or distributed ledger system
may be used. More than one BDL network or data structure may be
used in any given implementation of the system. Transactions may be
performed on a BDL. A transaction may include any suitable
operation performed at least partially on-chain.
[0140] A contract may use a BDL in a variety of ways which may
include (but are not limited to): [0141] Pushing data from a
content-addressed storage (e.g., CSS) to a BDL (e.g., an object on
a BDL to reflect a contract event/state as in FIGS. 4A and 4B,
passing data to on-chain code to execute a transaction, etc.);
[0142] Calling on-chain scripts (e.g., from an on-chain library);
[0143] Instantiating code on-chain or compiling to the bytecode of
a BDL system for execution on-chain; and [0144] Interacting with
on-chain code to perform transactions (e.g. FIGS. 10, 11, 12 and
13), where on-chain code can provide any arbitrary
functionality.
[0145] Calling on-chain code may assist in standardizing on-chain
transactions (e.g. on-chain digital asset transfers, escrow, etc)
and operations. An on-chain library may consist of standard
scripts/functions to perform any on-chain operation. Operations or
transactions may have legal implications (such as a transfer of an
interest in a digital asset) or otherwise.
[0146] Separating the contract computation and the transactional
effects of contract computation enable on-chain operations to
re-use scripts with attendant benefits for security, predictability
of behavior, ease of development, and similar.
[0147] As per U.S. patent application Ser. No. 15/476,791,
contracts may use BDL in the aforementioned approaches, using
additional approaches, and/or using alternative approaches. In one
variation, as depicted in FIG. 10, a BDL system may be composed of
a business logic layer in addition to a persistence layer.
[0148] FIG. 6 depicts an exemplary interaction between an off-chain
programmable clause in a contract and an on-chain script. More than
one script may be used in a given embodiment of the system and
method (e.g., one on-chain script may call another on-chain
script). FIG. 13 depicts an example in which on-chain code of a BDL
system interacts with a programmable clause within a contract. In
this example, IoT data pertaining to temperature is instantiated
on-chain as transactions relating to the status of a shipment
(e.g., temperature and delivery status). This may result in an
on-chain script executing and triggering a callout to an API of a
programmable clause and thereby providing this data to the
programmable clause in the contract (e.g. using JSON data, although
any suitable approach may be used). The programmable clause logic
may then return a response (in this example, a payment calculation
based upon delivery status) that is then sent to `on-chain` code to
perform an on-chain transaction.
[0149] The system may offer a number of benefits over existing
blockchain and distributed ledger systems. For example, the system
may be more computationally efficient as all validating nodes on a
BDL system may (as is typically the case) not have to process every
computational action given that the contract may be, at least
partially, computed `off-chain`. As such, transaction or
computation costs (e.g. `gas`) imposed by a BDL system can be
reduced, where applicable, and only the transactions/state that
require global state consensus may be actually executed or
broadcast on-chain. For example, the computation, either in whole
or in part, for a data-driven contract may be computed off-chain
and the output pushed on-chain either to an on-chain script in an
on-chain library to instantiate, deploy, or effect an on-chain
transaction/operation; in a field on an-chain transaction (e.g. as
an opcode, in a transaction data field, etc.); provide data inputs
as an off-chain `oracle`; or any other suitable approach/mechanism.
Furthermore, the system and method may provide superior privacy and
security properties as computation is not performed `on-chain`, but
`off-chain` as between the contracting parties, but may still
retain the benefits of performing actions on-chain where beneficial
(e.g., in a business network such as a supply chain--see FIGS. 10,
11, 12, and 13 as examples).
[0150] The computation environment may also be integrated with a
multiplicity of blockchain/distributed ledger protocols and
instances of each. For example, a contract executed using the
system and method may integrate with two or more BDLs of the same
or different protocols at the contract level. This is beneficial as
various operations, transactions, and state may be needed to be
performed or shared not solely on a single blockchain or
distributed ledger (e.g., a tokenized asset transfer may be
performed on a first BDL, a payment performed on second BDL, and
state shared on a third BDL).
[0151] Furthermore, BDL-based "smart contract" systems typically
couple on-chain execution and enforcement (i.e. execution is
automatically enforced by consensus when on-chain operations are
executed), which may have a number of undesirable implications for
native usage with legal contracts. Firstly, legal contracts are
typically `incomplete` in nature as the future state of the world
cannot be entirely known at the point of contract
formation/execution. For example, future contingencies may not be
capable of description ex ante, and contracting parties cannot
commit themselves never to engage in renegotiation or modification
during execution. Secondly, it is often desirable to waive rights
against, and obligations imposed upon, counterparties in legal
contracts. For example, commercial exigencies or best practices may
dictate that a particular right or obligation is not enforced,
which automated enforcement may often be antithetical to. Thirdly,
contracting parties may wish to approve operations/transactions
prior to their execution for a variety of reasons (e.g. compliance,
workflow management, internal policies). Automated enforcement
restricts the ability to before such manual checks and processes.
By providing a computation abstraction layer to a BDL-based system,
the system and method avoids the issues of coupling computation and
enforcement together.
3. Method
[0152] As shown in FIG. 2, a method for transitioning a
blockchain-based network according to a legal contract may include:
establishing a contract S110, which includes generating a set of
programmable clauses for the contract S112; operating a blockchain
network between participants S120; updating the contract state
S130, and updating the blockchain network S140. Additionally, the
method can include various scenarios of updating and transitioning
the blockchain network, which can include: in response to an update
to the contract state, recording updates to the blockchain network
S132; and in response to a contract-associated update in the
blockchain, initiating execution of at least one programmable
clause of the contract S142 and recording a rebound update to the
blockchain S144. In the initial scenario, changes in the state of
the contract, which may be due to off-chain related activity, can
trigger transitioning of the blockchain network. In the second
scenario, the blockchain network may undergo transitioning wherein
as a result to an update to the blockchain network, off-chain logic
can be initiated and optionally, as a response to execution of the
logic a subsequent update transacted with the blockchain network.
The method functions in implementing a blockchain based network in
association with a contract. The method is preferably implemented
with the system described above, but may be alternatively
implemented with any appropriate system.
[0153] Block S110, which includes establishing a contract, may
function in creating a legal contract between two or more parties
and that includes executable programmable logic. The contract may
be any type of "electronic" contract that has executable logic.
Preferably, the contract is a data-driven contract as described
above that includes programmable clauses and natural language
clauses (i.e. text/language based components). Establishing a
contract may additionally include generating a set of programmable
clauses for the contract S112. However, the method may
alternatively be implemented wherein a data-driven contract is
obtained or received by another source and wherein the method
facilitates the use of the data-driven contract in guiding the
transitioning of a blockchain network.
[0154] Establishing a contract may S110 preferably occurs in
association with a contract management platform (CMP) as described
previously. Alternatively, establishing the contract S110 may occur
without the CMP. The contract may then be stored on a
blockchain/distributed ledger (BDL) and/or on an off-chain
repository. In the preferred variation wherein establishing the
contract S110 occurs in association with the CMP, the contract is
preferably stored using a contract repository system (CRS).
[0155] Block S112, which includes generating a set of programmable
clauses, may function in incorporating executable logic into the
contract, wherein a programmable clause preferably functions as the
executable logic within the contract. A programmable clause may
take the form of `programmable clauses` as outlined in U.S. patent
application Ser. No. 15/476,791, filed 31 Mar. 2017. Generating a
set of programmable clauses S112 preferably includes implementing a
templating system, wherein the templating system comprises of a
template model that contains the logic of each programmable clause
of the contract. Implementing the templating system adds
programmable clauses to the contract by binding the programmable
clause logic components to associated natural language of the
contract. Generating a set of programmable clauses S112 may
alternatively create programmable clauses using other methods, e.g.
writing programmable clauses from scratch or obtaining them from a
contract library. Additionally, parametric programmable clause
components (i.e. variables) of the contract may be instantiated at
this or any suitable time; and these values may be changed.
Examples of instantiated variables may include, price of a product,
sale date, and like, and such variables will depend on the
objective of the programmable clause.
[0156] As mentioned above, generating a set of programmable clauses
S112 may include implementing a templating system, which may
function in creating a legal contract with programmable clauses.
Implementing a templating system comprises of binding the template
model for each programmable clause within the contract to the
natural language of the contract. Implementing a templating system
enables an easy and quick method to create legal contracts by
reusing contract logic and associated natural language clauses.
Templates may support multiple geographic regions, allowing the
template to be edited or visualized in different languages, whilst
preserving a single region-neutral executable representation.
[0157] In implementing the templating system, each programmable
clause of the contract preferably has a corresponding template
model. The template model of that programmable clause comprises of
the data elements of that programmable clause. These data elements
may then be incorporated into the contract using the template
model. When establishing a contract S110, implementing the
templating system may additionally create an API endpoint of the
programmable clause thereby enabling an external client to
instantiate logic of the programmable clause or submit input of any
sort during execution of the contract. Additionally and/or
alternatively, the template model may maintain links to the
contract data elements, enabling dynamic network updates to data
elements. For example, a data element in the template model
corresponding to the price of oil, may allow the price of oil in
the contract to change and stay up to date with the market oil
price. Usage of external data, may occur over any desired
network.
[0158] Block S120, operating a blockchain network between
participants functions to set up a peer-to-peer network for
implementation of the contract. The blockchain network preferably
maintains an application model of the contract that maps to the
template model. "Communication" between the template model and the
application model enable dynamic updates of the contract state and
execution of contract programmable clauses.
[0159] Operating a blockchain network S120 may comprise of
generating and operating a new blockchain network specific to
implementation of the contract, or may comprise of operating a
previously existing blockchain network. In one variation, an
application-specific blockchain network may be configured and
operated using application modeling that corresponds to a template
model of a contract. For example, a tool may be used to configure
an application model of a blockchain network by defining assets,
participants, transactions, and/or other elements and actions
related to the particular application-specific use case. This
application model may then be used in deploying the application
model to a blockchain infrastructure and runtime thereby
establishing and initializing a blockchain network. A number of
participants preferably coordinate in the execution of the
blockchain network. The resulting blockchain infrastructure and
runtime may use blockchain consensus protocols to ensure validation
of the blockchain data. Functionality of the application-specific
blockchain network is preferably configured to support the
execution of the contract in an operationally compatible manner.
Additionally and/or alternatively, operating a blockchain network
S120 may comprise of operating multiple blockchain networks (e.g.
where two or more networks interoperate). The type of implemented
blockchain networks will additionally determine the protocols the
contract must follow (as per the implemented blockchain
network).
[0160] The contracting parties preferably set the implementation of
the contract with respect to the blockchain networks. The
contracting parties are, preferably, themselves participants on the
network. Thus, depending on the contract implementation, operating
a blockchain network S120 may entail different types of
communication between the blockchain network and the contract,
although the end result is to preferably match the template model
and the application model to some desired degree. Dependent on the
degree of linkage with the template model, the application model
may function as a versioned history, a so called audit-trail, of
the contract state. The application model may together maintain the
current state of the contract and all histories. In some
implementations, the blockchain is updated and a CMP or other
off-chain system element monitors the state of the blockchain
network such that data from the blockchain network can serve as an
input to the contract if necessary. Alternatively, on-chain scripts
can be specified to initiate logic of a contract as specified
below. In one variation, when establishing a contract, an API
interface can be created for a programmable clause, and at least
one application model object in the blockchain network is
configured to initiate a callback request to the API endpoint.
[0161] Block S130, which includes updating the contract state, may
function to change the state of the contract. Updating the contract
state may occur through any internal or external interaction that
leads to a change of the contract state. The contract state may be
changed manually or through executing of the contract logic.
Updating the contract state S130 may be participant implemented, or
may be based on linked associations (e.g. the market price of grain
may be linked to the contract price of grain). Through the mapping
between the template model and the application model, updating the
contract state S130 can lead to recording updates to the blockchain
network S132. The inverse is preferably also true, updating the
blockchain network may (depending on the configuration of the
blockchain network) lead to updating the contract state S130.
[0162] Updating the contract state S130 may comprise of executing
the logic of the contract. Execution of the logic is preferably
performed at or through an execution engine. For a template created
programmable clause (or more generally contract), the execution
engine invokes the execution logic for the template, passing in the
parameterization data, one or more context objects, and the
incoming request (FIG. 1(6)). The execution engine preferably
validates the response and then returns it to the caller. The
structure of the response may be modeled in the template model
(FIG. 1(7)). The execution engine may take any suitable form, such
as a runtime environment or virtual machine.
[0163] In one exemplary instance, updating the contract state may
include receiving an external update request; updating the contract
state in response to processing of the update request as specified
by the logic; and communicating a response to the update request as
shown in FIG. 9. For example, an on-chain script may execute
through a runtime of a blockchain network and trigger a request to
an API endpoint of a programmable clause (or the contract or other
suitable endpoint) and handled by the execution engine. Execution
of the logic of the programmable clause can result in changing of
the contract state. A response is preferably communicated to the
runtime of the blockchain network.
[0164] An alternative approach, such as when on-chain scripts are
not available or used, may poll the blockchain network or request
an update of the blockchain network and receive updates of the
blockchain network as shown in FIG. 11. The contract state and
subsequent updates may triggered based on the received updates
[0165] Block S140, which includes updating the blockchain network,
functions to update the state of the blockchain network in
accordance to the application model. Updating the blockchain
network S140 may additionally occur due to other external or
internal inputs.
[0166] Through the link with the contract (e.g., using an an API
endpoint of the clause and/or contract), in response to at least
one contract-associated update of the blockchain network, updating
the blockchain network S140 can lead to initiating execution of at
least one programmable clause of the contract S142. That is,
external input from the blockchain may lead to a change in the
contract state that occurs through initiating execution of at least
one programmable clause of the contract S142. This external input
may lead to recording a subsequent update to the blockchain network
S142 to mirror the contract state change. For example: a contract
may include a temperature variable that is linked to a blockchain
network. The application model of the blockchain network can be
configured to define temperature data or assets. Contract
integration may be manifested in a variety of ways described herein
such as using smart contract scripts to call out to the execution
environment, polling, or accessing the data in response to another
event that triggers use of the data. This in turn may lead to a
contract state change to update the temperature variable, which in
turn would lead to a subsequent update in the application model to
account for the contract state change.
[0167] Updating the contract state S130 may be dependent on the
exact method of interaction and integration between the contract
and external resources. Contracts may integrate with a variety of
external resources as well as have internal integrations (e.g.,
between contract clauses). Integrations with external resources may
comprise events (e.g., from the blockchain network, API, or
otherwise) being exposed to a contract clause to affect a variety
of internal operations within the clauses of the contract, as well
as to drive external actions from the contract. Such external
actions may include (but are not limited to): calls to APIs (e.g.,
to provide data to a web service, etc.), pushing objects to one or
more BDLs (e.g., state updates and data pertaining to a
clause/contract as in FIGS. 4A and 4B), calls to on-chain scripts
(i.e., `smart contract` code on a BDL) such as an on-chain library
such as in FIG. 12, passing data to on-chain `smart contract` code,
compilation to bytecode of a virtual machine (e.g., a BDL runtime
system), executing operations on IoT/network-connected devices,
storing data in a database, or any other appropriate action. These
may occur in a manner substantially similar to that outlined U.S.
patent application Ser. No. 15/476,791. Other appropriate
approaches may also be used additionally or alternatively. A
contract may additionally perform internal operations. For example,
an input to a clause in the contract may result in that clause
calling a function in another clause, passing data to another
clause, or any other appropriate operation. These internal
operations may facilitate clause interoperability and the
generation of more sophisticated contract logic. A clause may also
perform an external action based upon an internal operation (e.g.,
clause 1 calls clause 4, which outputs data to an external
resource) or vice-versa.
[0168] In one example, data may be input and output through the
CSS. The CSS may be stateless (e.g., backed by an object store of
any appropriate form) or may have a state. A CSS is preferably
content-addressable storage. A contract (and by extension it's
constituent clauses) may use data from the CSS or output data to
the CSS. In one implementation, data may be pushed to the CSS from
external resources and then used by the contract. In another
implementation, data may be pushed to a BDL, Merkle DAG-based data
structure, or other time-series based append-only log, prior to
being used by the contract as an input. In another usage scenario,
data from the CSS may be used by a clause to perform operations
dependent (wholly or partially) upon past data (e.g., state of a
contract at a given time in the past, actions that occurred
subsequent to a state change, operations that require use of a
variety of past data point such as compounded penalty deductions,
etc.).
[0169] As mentioned previously, the method of implementation of the
contract with respect to the blockchain network may affect the
interaction between the contract and the blockchain network. In a
first scenario variation, the contract is maintained on a private
server/network (off-chain), and the participants access the
contract through the blockchain network, as shown in FIG. 20. In
this variation, operating the blockchain network S120 may comprise
of calls and responses to the private server to transition the
state of the contract, which may subsequently transition the state
of the network. In this scenario variation, a BDL network is the
primary data store and the network transitioned by the contract
(e.g. storing the state of the including the interaction with a
contract or series of contracts), and contract logic can be
offloaded to a private, off-chain runtime environment between the
contracting parties and other participants--whether in the network
or otherwise. This may be to avoid integration of contract logic
within the on-chain code/scripts used in operating the BDL network,
and to decouple the contract runtime from the runtime used in
operating and maintaining BDL. This separation of concerns may
enable the BDL system and contract system to be maintained,
governed, and operated with a degree of relative independence. The
BDL can be updated with data updates, which may originate from a
variety of sources. The application model of the BDL network can
then serve as an input to the contract and used to trigger
processing of logic of the contract. The server in this scenario
can serve as a dedicated and trusted environment for the execution
of contract logic for BDL network participants. Network
participants may be contracting parties but could be other parties,
possibly with no direct interest in the contract. However, each
participant can maintain their own copy of the distributed
ledger/blockchain state.
[0170] In a second scenario variation, the contract is maintained
on a private server/network (off-chain), and the participants
access the contract directly through the private server as shown in
FIG. 21. In this variation, the contract logic is executed
off-chain, the contract participants may interact with the contract
through a CMP or other central platform, and the output from the
contract can be both on the off-chain server and on the blockchain
network (on-chain). Operating a blockchain network S120 may then
comprise of input/output integration between the blockchain network
and the private server. More specifically, input/output integration
between the logic of the contract and internal and external sources
are linked to the logic of the contract. Updating the contract
state S130 may thus occur from any internal or external input. For
example, a market change in the price of crude oil may, for
example, lead to updating a variable in a clause dependent upon the
price, thereby updating the contract state S130, which in turn may
lead to recording updates to a blockchain network S132. Updates may
also be applied to external systems (e.g. ERP systems) via API.
[0171] One exemplary implementation of the second scenario
variation may involve a business application network (which
preferably exists on top of a blockchain network) that invokes the
execution engine running on an off-chain server. As shown in the
example of FIGS. 27A-27I, a blockchain network configured for an
application model specific to perishable goods use case may be
transitioned in coordination with a `perishable goods` clause of a
data-driven contract. The method may store the contract state onto
the blockchain network or recording outputs from the contract onto
the blockchain network, while executing contract logic off-chain. A
modeling system can be used to store the state of shipments,
importers, growers, shippers on the blockchain, while the contract
logic is invoked off-chain using the server. Accordingly, various
entities can use the blockchain network to record data, and upon
configured events like a shipment being received, then off-chain
logic can be invoked to calculate a final price payable under the
contract based on the recorded data, and that resulting price
recorded back to the blockchain network. FIG. 27A shows the high
level architecture of a contract with a `perishable goods` clause.
A data model, at least partially shared by or otherwise integrated
between, the application model of the blockchain network and the
template model enables interoperability between the blockchain
network and off-chain logic. As a result, FIG. 27B shows the
shipment being tracked on the blockchain network.
[0172] The identities of the participants in the permissioned
blockchain network may be managed by the blockchain network, and
their metadata may be managed by the contract data model. FIG. 27C
shows the participant state stored on the blockchain network.
Transactions can be submitted that update the state of assets
stored on the blockchain based on the results of executing a
contract. FIG. 27D shows a simulation of submitting exemplary IoT
transactions (i.e., temperature readings from a network-connected
device monitoring the shipment status). Both the contract data
model and the templating system may be model driven, so we start by
defining the data model, and may preferably use the same modeling
language to obviate or minimize needs for complex mapping between
the two. FIG. 27E shows the template model, using the modeling
language, to show the shipment that is being stored on the
blockchain network, as well as some of the transactions that update
the state of the shipment.
[0173] The blockchain network may include a transaction processor
function (e.g., an on-chain script) that invokes the execution
engine on the server. FIG. 27F is a transaction processor function
for the ShipmentReceived transaction. As shown in the return
statement in FIG. 27F, a server call may pass in data from the
incoming transaction. After calling the server, the function can
update the state on the blockchain network. FIG. 27G is an
exemplary template grammar for the template. The template grammar
is the natural language text for the clause with embedded
variables. A template is preferably strongly-typed and the
type-information is captured in the template's template model. FIG.
27H is the template model for an exemplary `perishable goods`
template clause. The template model captures the names and types
for variables referenced in the template grammar. The template
model can reference or include complex types, such as Shipment or
Duration. The template grammar and template model may be combined
and used to generate a parser for the template. The model may be
wholly or partially generated from the grammar such that a user
does not have to interact with the two independently. The parser
takes input source text and converts it to an instance of the
template model. Templates may include the executable business
logic, which implements a function that receives an incoming
transaction and the data and returns a response transaction. FIG.
27I shows exemplary business logic for the perishable-goods
template written in JavaScript. As aforementioned, other languages
and approaches to expressing the logic may be used.
[0174] In a third scenario variation, the contract is directly
maintained on a blockchain network. The contract is embedded and
maintained in a blockchain network node(s). In this variation, the
contract can be made executable through an execution environment
(e.g., WebAssembly-based virtual machine, Node.js runtime engine,
etc.) as shown in FIG. 22. Each participant may then interact and
execute the contract individually using a runtime (e.g., a virtual
machine, container, etc.) on the blockchain network. Consensus is
preferably performed across peers on the network.
[0175] In a fourth scenario variation, the contract is maintained
and executed on a blockchain. In this variation, the method further
includes compiling the logic of the contract to native format of
the execution platform/environment of the blockchain network as
shown in FIG. 23. For example, for a `legal` contract to be
executed on an Ethereum-based network, the contract is first
compiled into eWASM or EVM bytecode, or another supported
compilation target (see, for example, FIG. 14). Similarly to the
third scenario variation, consensus over the current contract state
may be required during execution the contract. The third and fourth
scenarios are not dependent on trust in an intermediary for storage
of contract data or execution of contract logic.
[0176] The exemplary scenarios may use variations of the other
scenario variations or description here. For example, a single
contract may make use of the first scenario and the second scenario
during its active use.
[0177] The systems and methods of the embodiments can be embodied
and/or implemented at least in part as a machine configured to
receive a computer-readable medium storing computer-readable
instructions. The instructions can be executed by
computer-executable components integrated with the application,
applet, host, server, network, website, communication service,
communication interface, hardware/firmware/software elements of a
user computer or mobile device, wristband, smartphone, or any
suitable combination thereof. Other systems and methods of the
embodiment can be embodied and/or implemented at least in part as a
machine configured to receive a computer-readable medium storing
computer-readable instructions. The instructions can be executed by
computer-executable components integrated with apparatuses and
networks of the type described above. The computer-readable medium
can be stored on any suitable computer readable media such as RAMs,
ROMs, flash memory, EEPROMs, optical devices (CD or DVD), hard
drives, floppy drives, or any suitable device. The
computer-executable component can be a processor but any suitable
dedicated hardware device can (alternatively or additionally)
execute the instructions.
[0178] As a person skilled in the art will recognize from the
previous detailed description and from the figures and claims,
modifications and changes can be made to the embodiments of the
invention without departing from the scope of this invention as
defined in the following claims.
* * * * *