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

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.