awesome-llm-apps/ai_agent_tutorials/ai_legal_agent_team/README.md

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

   # 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
   • Get Qdrant API key and URL from Qdrant Cloud

3. Run the Application

   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