Legal AI Chatbot with RAG

Project Overview

This intelligent legal assistance chatbot uses Retrieval-Augmented Generation (RAG) to provide accurate legal information and guidance. The system can autonomously handle initial legal consultations and intelligently classify user inquiries to route them appropriately.

Key Features

• RAG-based information retrieval from legal document databases
• Automated initial consultation handling
• Intelligent inquiry classification and routing
• Multi-language support for legal terminology
• Confidence scoring for response accuracy
• Integration with legal research databases

Technical Implementation

Developed using Python with OpenAI's GPT models for natural language understanding and generation. Implements vector embeddings for document retrieval and fine-tuned classification models for inquiry categorization. The Streamlit interface provides an intuitive chat experience.

Impact

Reduced initial consultation time by 60% and improved user satisfaction scores by 35%. Successfully handled over 5,000 legal inquiries with 92% accuracy in automated responses.