Apr 2
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In this video, I demonstrate an AI-powered Legal Document Analysis system built using a multi-agent architecture. The project uses CrewAI for agent orchestration, Legal-BERT for domain-specific legal understanding, and the Gemini API for advanced reasoning and natural language generation. GitHub The Project Repository : https://github.com/Harish-32/legalmind 📌 Project Highlights: - Multi-agent AI architecture using CrewAI - Sequential task execution for document analysis - Legal-BERT for legal text understanding and embeddings - Gemini API for summarization, insights, and Q&A - FastAPI-based backend with REST APIs - Frontend–backend integration for document upload and result visualization 📌 System Capabilities: - Legal document upload and processing - Case information extraction - Legal insights identification - Document summarization - Practical impact analysis - Interactive Q&A on analyzed documents This project demonstrates how modern AI techniques and multi-agent systems can be applied to real-world legal and document analysis problems. 🎯 Suitable for: - Final year / academic projects - AI & NLP learners - Multi-agent system enthusiasts - LegalTech applications #CrewAI #LegalBERT #MultiAgentAI #NLP #AIProjects #FastAPI #GeminiAPI #DocumentAnalysis