Evaluation of LLM-RAG framework for citation verified and structured legal document generation

Description

Explore how Artificial Intelligence is transforming the legal domain! ⚖️🤖 In this video, we present our final year project: “Evaluation of LLM-RAG Framework for Citation Verified and Structured Legal Document Generation.” This project focuses on combining Large Language Models (LLMs) with Retrieval-Augmented Generation (RAG) to generate accurate, structured, and citation-backed legal documents. 🔍 What this video covers: -Problem of hallucination in AI-generated legal content -Introduction to LLM + RAG framework -Proposed methodology and system workflow -Use of IRAC format for structured legal arguments -Expected results and performance improvements ⚡ Key Features of the Project: -Retrieves real legal data (IPC, CrPC, case laws) -Generates factually accurate legal drafts -Reduces hallucination in AI responses -Improves citation quality and legal reliability 🎯 Who is this for? -Law students & legal professionals -AI & Data Science enthusiasts -Researchers in Legal Tech -Anyone interested in AI applications in real-world domains 🙏 Special thanks to our project guide, faculty members, and Head of the Department for their constant support and guidance. 👩‍💻 Team Members: Shree Shainiha JS Tanu Shri S Varini Lakshmi S #AI #LegalTech #LLM #RAG #FinalYearProject #ArtificialIntelligence #MachineLearning #Law #GPT #TechProjects #EngineeringStudents #IRAC #LegalAI