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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM41744

RAG-Based Legal Document Assistant for Automated Legal Document Management and Advice

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM41744

Volume:

9 |

2 |

Feb 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM41744

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

DPL

Dr Poonam Lambhate1

RH

Rutuja Hegade2

SG

Samarth Ghodake3

YR

Yadnesh Raut4

AH

Aditya Halder5

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Abstract

Legal professionals face a significant challenge in managing vast volumes of legal documents, performing research, and drafting case-specific advice. This paper presents a Retrieval-Augmented Generation (RAG)-based legal document assistant that leverages state-of-the-art Natural Language Processing (NLP) and Machine Learning (ML) techniques to automate document summarization, drafting, and legal advice generation. The assistant aims to streamline legal workflows, enhance productivity, and improve the accuracy of legal document preparation. The system integrates a robust legal research module, which fetches relevant case law and statutes, and an AI-powered chatbot to deliver instant legal advice.

KEYWORDS

RAG Legal Document Summarization NLP Legal Assistant AI-powered Legal Advice Legal Research

Cite This Article

Dr Poonam Lambhate1, Rutuja Hegade2, Samarth Ghodake3, Yadnesh Raut4, Aditya Halder5, "RAG-Based Legal Document Assistant for Automated Legal Document Management and Advice," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 2, Feb 2025. https://doi.org/10.55041/IJSREM41744

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Publication Date

2/22/2025

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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