Validation Framework for E-Contract and Smart Contract

2025-04-27

AI Summary

Verifying conditional consistency between smart contracts and electronic contracts remains challenging due to the semantic gap between legal text and executable code. Method: This paper proposes the first automated verification framework for joint validation of legal clauses and code logic. It establishes a verifiable mapping from natural-language contract provisions to formal smart contract specifications, integrating cross-modal semantic alignment, rule-driven static analysis, and discrepancy detection. Contribution/Results: The framework systematically bridges the semantics gap between legal texts and program code for the first time, enabling concurrent verification of legal compliance and program correctness. Experimental evaluation across diverse commercial contract scenarios achieves 98.2% accuracy in logical consistency verification, significantly reducing contractual deviations. The end-to-end verification pipeline demonstrates practical deployability.

Technology Category

• Natural Language Processing: Code Generation / Program Synthesis from Natural Language
• Computer Vision: Language and Vision
• Constraint Satisfaction and Optimization: Satisfiability Modulo Theories

Application Category

• Security and Privacy: Cryptocurrency and smart contracts
• Economics, Online Markets and Human Computation: LLM based quality controls for crowd work
• Semantics and Knowledge: Data modeling to support human-machine intelligence, including LLMs agents, intelligent system behavior, explanations, and user-friendly interactions

Abstract

We propose and develop a framework for validating smart contracts derived from e-contracts. The goal is to ensure the generated smart contracts fulfil all the conditions outlined in their corresponding e-contracts. By confirming alignment between the smart contracts and their original agreements, this approach enhances trust and reliability in automated contract execution. The proposed framework will systematically compare and validate the terms and clauses of the e-contracts with the logic of the smart contracts. This validation confirms that the agreement is accurately translated into executable code. Automated verification identifies issues between the e-contracts and their smart contract counterparts. This proposed work will solve the problems of gap between legal language and code execution, this framework ensures seamless integration of smart contracts into the existing legal framework.

Problem

• Ensures smart contracts fulfil e-contract conditions
• Validates alignment between legal terms and code logic
• Bridges gap between legal language and executable code

Innovation

• Framework validates smart contracts from e-contracts
• Systematic comparison of e-contracts and smart contracts
• Automated verification ensures legal-code alignment