NyAI Saathi - Legal Research Tool leveraging GenAI (RAG)

This paper presents NyAI Saathi, a GenAI-powered legal research assistant that enhances legal information retrieval using Retrieval-Augmented Generation (RAG) and vector-based semantic search. It provides context-aware legal insights with references, streamlining research for legal professionals, researchers, and students. The system integrates Qdrant for efficient document retrieval, a Fast-API backend, and a React.js front end for seamless interaction. Built on the Haystack framework, it supports voice-to-text input, text-to-speech output as voice assistance, dynamically suggested queries helping the users to frame their own queries and multilingual support. By automating legal research, NyAI Saathi reduces workload, improves decisionmaking, and enhances workflow efficiency. This paper details its architecture, implementation, and performance, demonstrating its scalability as an AI-driven legal research solution.