🚀🧑‍⚖️ Legal AI Assistant

Welcome to the Legal AI Assistant – your AI-powered legal team in a single application! This Streamlit-based web app is designed to revolutionize legal document analysis by leveraging multiple specialized AI agents. Whether you're a legal professional, a law firm, or an individual seeking quick legal insights, this tool is here to help.

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🌐 Live Demo

Try out the Legal AI Assistant live! Click the link below to access the app:

Try the Legal AI Assistant Live

🌟 Features

🤖 AI Agent Team

Our application features a team of specialized AI agents, each with a unique role:

1. 🔍 Legal Researcher:

   • Finds and cites relevant legal cases, precedents, and statutes.
   • Provides detailed research summaries with authoritative references and specific document sections.

2. 📑 Contract Analyst:

   • Specializes in thorough contract review.
   • Identifies key terms, obligations, and potential issues.
   • References specific clauses for detailed analysis.

3. 🎯 Legal Strategist:

   • Develops comprehensive legal strategies.
   • Provides actionable recommendations while considering risks and opportunities.

4. 👨‍💼 Team Lead:

   • Coordinates analysis between team members.
   • Ensures comprehensive responses, properly sourced recommendations, and references to specific document parts.
   • Acts as the coordinator for all three agents.

📊 Analysis Types

The application offers five distinct types of analysis, each tailored to specific legal needs:

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🛠️ Pre-Installation Requirements

Before running the application, ensure you have the following installed:

1. Python 3.8 or higher:

   • Download and install Python from python.org.

2. Required Python Libraries:

   • Install the necessary libraries using the following command:

     pip install streamlit groq pypdf

3. Groq API Key:

   • Sign up for a Groq API key from Groq's website.
   • Replace the placeholder GROQ_API_KEY in the code with your actual API key.

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🚀 How It Works

1. Document Upload:

   • Users upload a PDF document containing legal content.
   • The application extracts the text from the document (limited to the first 4000 characters for demonstration purposes).

2. Analysis Type Selection:

   • Users select the type of analysis they need from the available options:
     • Contract Review
     • Legal Research
     • Risk Assessment
     • Compliance Check
     • Custom Queries

3. Question Input:

   • Users ask specific legal questions related to the uploaded document.

4. Agent Coordination:

   • Based on the selected analysis type, the application activates the relevant AI agents.
   • Each agent generates a response based on its specialized role.

5. Response Display:

   • The application displays the combined responses from all active agents in a structured format.

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🖥️ Running the Application

1. Clone the repository:

   git clone https://github.com/Avinashhmavi/legal-Ai-Assistant.git
   cd legal-ai-assistant

2. Run the Streamlit app:

   streamlit run legal_ai_assistant.py

3. Access the application:

   • Open your web browser and navigate to http://localhost:8501.

4. Use the application:

   • Upload a PDF document.
   • Select the desired analysis type.
   • Ask legal questions and view the AI-generated responses.

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📋 Example Usage

Contract Review

• User Question: "What are the key terms in this contract?"
• AI Response:

  **Contract Analyst:**
  The key terms in this contract include [term 1], [term 2], and [term 3]. These terms are defined in sections [section 1], [section 2], and [section 3] of the document.
  

Risk Assessment

• User Question: "What are the potential risks in this agreement?"
• AI Response:

  **Legal Strategist:**
  The potential risks include [risk 1], [risk 2], and [risk 3]. I recommend [strategy 1] and [strategy 2] to mitigate these risks.
  
  **Contract Analyst:**
  The risks are primarily associated with clauses [clause 1] and [clause 2]. These clauses could lead to [potential issue 1] and [potential issue 2].
  

Custom Queries

• User Question: "What is the best course of action for this case?"
• AI Response:

  **Legal Researcher:**
  Based on my research, the relevant precedents are [precedent 1] and [precedent 2]. These cases suggest [recommendation 1].
  
  **Legal Strategist:**
  The best course of action would be to [strategy 1] and [strategy 2]. This approach minimizes risks and maximizes opportunities.
  
  **Contract Analyst:**
  I recommend reviewing clauses [clause 1] and [clause 2] to ensure they align with the proposed strategy.
  
  **Team Lead:**
  Based on the analysis from all team members, the recommended course of action is [final recommendation]. This approach is supported by [evidence 1] and [evidence 2].
  

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🚀 Future Enhancements

1. Support for Larger Documents:

   • Extend text extraction beyond 4000 characters for more comprehensive analysis.

2. Integration with Legal Databases:

   • Enhance the Legal Researcher's capabilities by integrating with legal databases for real-time case law and statute references.

3. Multi-Document Analysis:

   • Allow users to upload multiple documents for cross-referencing and comparative analysis.

4. User Authentication:

   • Add user authentication to save analysis history and preferences.

5. Export Reports:

   • Enable users to export analysis reports in PDF or Word format.

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🤝 Contributing

Contributions are welcome! Please open an issue or submit a pull request for any improvements or bug fixes.

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📧 Contact

For questions or feedback, please contact:

• **Avinash HM **
• Email: avi.hm24@gmail.com

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Enjoy using the Legal AI Assistant! ⚖️✨