AI-Powered Regulatory Compliance Checker Contracts is a M.Tech project topic for Computer Science & Engineering. It gives students a clear starting point for research, implementation planning, and documentation.
AI-Powered Regulatory Compliance Checker Contracts Project Details
| Abstract |
The growing number of digital contracts in multiple industries, including healthcare, finance, information technology, and government, has heightened the complexity of management regulatory compliance. Traditional manual methods for checking compliance are often slow, expensive, and prone to errors. This project proposes an AI Regulatory Compliance Checker for Contracts that uses Natural Language Processing (NLP), Machine Learning (ML), and Large Language Models (LLMs) to identify and mitigate compliance risks prior to contract execution. The system analyses legal documents and identifies contract clauses that pose compliance risks by providing the applicable provisions of regulatory statutes, including GDPR, HIPAA, and PCI-DSS that the organization has selected. The system is designed to include modules
for document ingestion, advanced clause classification, semantic analysis, contextual retrieval-augmented generation (RAG) and improved risk scoring. Initial testing has shown improved efficiency, accuracy, scalability, and consistency in contract analysis against previously manual review methods. This research highlights the burgeoning role of AI legal tech in reengineering the compliance management process and reducing operational costs and legal risks.
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| Reference Paper |
AI-Powered Regulatory Compliance Checker for Contracts |
| Domain |
Computer Science & Engineering |
| Sub-Domain |
Artificial Intelligence & Machine Learning / Computer Vision |
| PDF Download |
Download / View PDF |
| Get Help |
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