Law Buddy: An AI-Based Legal Information Assistant
TL;DR
This project is using RAG (Retrieval- Augmented Generation) to retrieve relevant legal data from stored database and then generate the response based on that data and this helps in giving more accurate and meaningful answers instead of general responses.
Abstract
AI Legal Buddy is an AI-powered legal information assistant designed to help users understand Indian laws in a simple and accessible way. The system allows users to enter their legal queries through text or voice input. The frontend is developed using React, TypeScript, Tailwind CSS, and Vite, providing a responsive and user-friendly interface. The backend is implemented using Supabase Edge Functions, which process user queries. In this project, we are using RAG (Retrieval- Augmented Generation) to retrieve relevant legal data from stored database and then generate the response based on that data. This helps in giving more accurate and meaningful answers instead of general responses. The system analyzes the query, identifies related Indian Acts and Sections, checks the seriousness of the issue, and provides structured responses with useful steps. The system also supports multiple languages to improve accessibility for users from different regions. By combining modern web technologies with RAG-based approach, the project aims to make legal information more understandable and easy to access for common people. Keywords: artificial intelligence; Retrieval-Augmented Generation; Legal Information Sys- tems; Multi-Agent Systems.