the UNCITRAL’s Model Law on Electronic
Transferable Records (2017). Nevertheless, these
efforts are predominantly non-obligatory and lack
extra-territorial enforcement provisions.
From a technological angle, Vo et al. (2019)
papers essentially dealt with data management using
blockchain and Drummer and Neumann (2020)
focused on legal deficiencies in code delivery. They
highlight how challenging it is to convert complex
contractual arrangements into computer code in a way
which doesn't create legal holes. Here, the rapid
ascent of decentralized platforms – such as Ethereum
and Hyperledger – has facilitated the development of
more sophisticated deployment possibilities,
although the question of syncing them with legal
norms is still at an impasse.
Further, the very first studies by Brammertz and
Mendelowitz (2018) and Huckle et al. discuss the
applicable uses of smart contracts in finance and the
share economy, but not the enforceability and cross-
platform governance.
The general overview provided by these various
studies highlights the urgency for a consolidated
framework to cover the two legal and technical sides
of smart contracts. Models we would like to train are
either extremely simplistic, reflecting such trivialites
in law, or present overly complex logic schemes,
which may not be conveniently applicable in practice.
This gap we seek to fill in this research, by proposing
a blockchain-based system that (1) supports the
protagonists of blockchain as laid out above, and (2)
guarantees legally interpretable self-executing
agreements that are scalable, agnostic of the
jurisdiction, and adaptive to the context.
4 METHODOLOGY
To bridge the gap between legal obligation and
technical obligation in contemporary research on
smart contracts, this paper uses a mixed-method
approach for combining the norms of contract law
with the architecture of blockchains and the design of
decentralized systems. The basic approach starts by
examining various legal formal contractual
structures, usually worldwide, to see what elements
they share (offer, acceptance, consideration,
intention etc.). Then, these legal constructs are
abstracted into programmable logic elements that can
be instantiated in a smart contract environment.
Figure 1 gives the smart contract Execution flow.
After the legal decomposition, a lawyer implements a
modular contract template with a rule-based logic
engine for an extensible script where clauses
(penalties, arbitration, fulfillment conditions, third
party verification, etc.) can be added as a
functionality of the language. These parts after that
converted directly into deployable codes through
Solidity for Ethereum contracts and Chaincode for
Hyperledger Material. A special emphasis is placed
on the readability, auditability and mutability of smart
contract terms for the toreconciliation of legal
disputes and post-deployment amendments to
tailored cases. Table 1 gives the information about
legal elements and their smart contract equivalents.
For jurisdictional flexibility, it is possible to inject
legal clauses, which specify regional jurisdiction
where local legal requisites can be applied to basic
contract logic in a dynamic manner. This enables the
system to function in different legal frameworks
while preserving the integrity of the underlying
execution model. For each template used, smart
contracts contain metadata for legal track and trace
information such as time stamped digital signatures,
identity proofs with DIDs and clause provenance
markers.
For proving real-world validation, the system is
applied to a set of simulated contracts use cases on
real-life domains such as property rental agreements,
insurance claim process, cross-border supply chain
contracts. Pairwise contracts These are specifically
selected for being very complex and enforceability
dependent, thus great tests for smart contracts.
Testing environments are implemented on blockchain
testnets like Ropsten (Ethereum) and private
Hyperledger instances where different edge cases like
obligations not being fulfilled on time, partial
fulfillment and contract breaches are replicated to
study the behavior of the smart contract.
For legal interpretability, the work integrates
explainability modules via logic interpreters to
convert blockchain execution flows into human
readable conventional legal summaries. These
modules offer non-technical community members,
particularly legal experts, the capability to check
performance and enforceability of contracts without
the need to be experts in the technical details. The
evaluation criterion consists of the execution
correctness, the efficiency in resolving conflict, the
legal clarity and the compatibility with local law.
In the security and trust analysis, smart contracts
are also inspected by vulnerability scanners (e.g.,
MythX and Hyperledger Caliper) to find possible
vulnerabilities such as reentrancy attack, integer
overflow and gas inefficiency. Results are compared
to existing contract automation platforms to show
gain in efficiency and trust reduction through
compliance.