👨‍⚖️ AI Legal Agent Team

🎓 FREE Step-by-Step Tutorial

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A Streamlit application that simulates a full-service legal team using multiple AI agents to analyze legal documents and provide comprehensive legal insights. Each agent represents a different legal specialist role, from research and contract analysis to strategic planning, working together to provide thorough legal analysis and recommendations.

Features

• Specialized Legal AI 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 advanced_ai_agents/multi_agent_apps/agent_teams/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 legal_agent_team.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-4o for analysis
• Uses text-embedding-3-small for embeddings
• Requires stable internet connection
• API usage costs apply