AI Legal Document Agent – India

Inspiration

Many people in India struggle to understand legal procedures and often cannot afford immediate legal assistance. We wanted to build an AI-powered tool that simplifies the first step of legal action by helping users understand their disputes and generate professional legal notices.

What it does

AI Legal Document Agent helps users with tenant and consumer disputes. It classifies the dispute, identifies relevant laws, extracts evidence from uploaded documents, evaluates case strength, and generates legal notices ready for review and use.

How we built it

We built the project using Python, Streamlit, MongoDB Atlas, and Google Gemini AI. Gemini is used for dispute classification, evidence analysis, and legal notice generation, while MongoDB stores legal references and retrieved laws. Streamlit provides a simple and clean user interface.

Challenges we ran into

The biggest challenges were integrating AI responses reliably, handling document analysis, connecting MongoDB Atlas, managing API rate limits, and deploying the application for demonstration.

Accomplishments that we're proud of

We successfully built an end-to-end legal assistance workflow that combines AI analysis, legal information retrieval, evidence processing, case evaluation, and notice generation within a single application.

What we learned

We learned how to integrate large language models into real-world workflows, design AI-assisted legal tools, work with cloud databases, and deploy full-stack AI applications.

What's next for AI Legal Document Agent – India

Future improvements include vector search for legal documents, support for additional dispute categories, multilingual support, lawyer referral systems, case tracking, and deeper integration with legal databases and filing systems.

Built With

• google-gemini-ai
• mongodb-atlas
• pydantic
• python
• streamlit