Legal Rules and Regulations Document Summarizer: Regulatory Compliance with NLP, ML, and LLMs

Legal Rules and Regulations Document Summarizer: Regulatory Compliance with NLP, ML, and LLMs

Prof. Dr. Ajit R Patil, Rushikesh Borade, Ruturaj Pawar, Roshan Tanpure, Mahesh Swami

Department of Computer Engineering

Bharati Vidyapeeth’s College of

Engineering Lavale, Pune,

Maharashtra

Abstract - This paper aims to advance the development of legal and regulatory materials summarization via an examination on state-of- the-art LLMs as well as ML/NLP coming from recent work. These technologies enable businesses to save money on compliance, simplify regulatory processes and reduce the number of risks they encounter by providing concise summaries in accurate but easy-to-read formats. Problems of controlling legal jargon, maintaining document integrity and ensuring privacy as well as the records are some highlights confronted by the study alongside with contribution avenues like entity identification, context comprehension for summarising text.

keywords:

Rules and regulation, LLM, Machine learning, NLP, Document summary.