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A Comprehensive Tool for Legal Document Interpretation and Summarization using Large Language Models
Author(s):
1. Veena Gode Swamy Rao: Department of Computer Science and Engineering , Ramaiah Institute of Technology,Bangalore, India
2. Suhas Katrahalli: Department of Computer Science and Engineering , Ramaiah Institute of Technology,Bangalore, India
3. Dhruthi Bhat: Department of Computer Science and Engineering , Ramaiah Institute of Technology,Bangalore, India
4. Tanya Arora: Departmentof Computer Science and Engineering , Ramaiah Institute of Technology,Bangalore, India
Abstract:
The proposed system in this paper introduces a user-friendly software solution leveraging cutting-edge AI technology called Large Language Models (LLMs) to simplify the understanding of legal documents and ensure fairness within the legal system. With LLMs at its core, the system offers two primary functions. Firstly, users can upload various legal documents, such as contracts or statutes, and ask questions related to their content. Using sophisticated natural language processing techniques, the system analyses these documents and provides accurate answers, aiding both legal professionals and individuals without legal expertise in navigating complex legal texts effortlessly.By harnessing the power of LLMs, this software revolutionises how we interact with legal documents. Its advanced capabilities enable users to better understand legal papers and ensure they're fair and transparent. With its user-friendly interface and focus on leveraging LLM technology, the system aims to empower users to make informed decisions and promote fairness and accountability within the legal domain
Page(s): 818-824
DOI: DOI not available
Published: Journal: International Journal of Communication Networks and Information Security, Volume: 16, Issue: 4, Year: 2024
Keywords:
, NLP , Collaborative Benchmarking , LLMs , Prompt Chaining , Legal Documents
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