# AI Legal Agent Team

An intelligent legal document analysis Agent Team powered by GPT-4 and Qdrant vector database. The system uses a team of specialized AI agents to analyze legal documents, providing comprehensive insights, key points, and recommendations. We used phi-agent to create the agent team.

## Demo:

https://github.com/user-attachments/assets/e89f2fc9-6a66-4eac-98dd-b4cb04e50419

## Features

- **Specialized Agent Team**
  - Legal Researcher: Equipped with DuckDuckGo search tool to find and cite relevant legal cases and precedents. Provides detailed research summaries with sources and references specific sections from uploaded documents.
  
  - Contract Analyst: Specializes in thorough contract review, identifying key terms, obligations, and potential issues. References specific clauses from documents for detailed analysis.
  
  - Legal Strategist: Focuses on developing comprehensive legal strategies, providing actionable recommendations while considering both risks and opportunities.
  
  - Team Lead: Coordinates analysis between team members, ensures comprehensive responses, properly sourced recommendations, and references to specific document parts. Acts as an Agent Team coordinator for all three agents.

- **Document Analysis Types**
  - Contract Review - Done by Contract Analyst
  - Legal Research - Done by Legal Researcher
  - Risk Assessment - Done by Legal Strategist, Contract Analyst
  - Compliance Check - Done by Legal Strategist, Legal Researcher, Contract Analyst
  - Custom Queries - Done by Agent Team - Legal Researcher, Legal Strategist, Contract Analyst

## How to Run

1. **Setup Environment**
   ```bash
   # Clone the repository
   git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
   cd ai_legal_agent_team
   
   # Install dependencies
   pip install -r requirements.txt
   ```

2. **Configure API Keys**
   - Get OpenAI API key from [OpenAI Platform](https://platform.openai.com)
   - Get Qdrant API key and URL from [Qdrant Cloud](https://cloud.qdrant.io)

3. **Run the Application**
   ```bash
   streamlit run main.py
   ```
4. **Use the Interface**
   - Enter API credentials
   - Upload a legal document (PDF)
   - Select analysis type
   - Add custom queries if needed
   - View analysis results

## Notes

- Supports PDF documents only
- Uses GPT-4 for analysis
- Uses text-embedding-3-small for embeddings
- Requires stable internet connection
- API usage costs apply