⚖️ LawGeeks v1.0
AI-Powered Legal Understanding Assistant (Prototype) LawGeeks v1.0 is a lightweight AI legal assistant designed to help users understand legal text and ask questions in plain language using a locally hosted LLM.
🎯 Problem Statement
Legal documents are often:
❌ Filled with complex jargon
❌ Hard to interpret without legal expertise
❌ Time-consuming to read
❌ Risky to sign without understanding
Most individuals lack affordable access to legal consultation and often sign documents without clarity.
💡 Solution: LawGeeks v1.0
LawGeeks v1.0 uses a local LLaMA 3 model via Ollama to:
Explain legal clauses in simple language
Answer user questions conversationally
Provide high-level legal understanding (not legal advice)
This version focuses on AI feasibility and user interaction, without external data sources.
✨ Key Features
🤖 AI Legal Chat (LLaMA 3 via Ollama) Conversational explanations of legal text using a locally hosted model.
📄 Plain-Language Legal Explanations Transforms complex clauses into easy-to-understand summaries.
💬 Interactive Q&A Users can paste text or ask follow-up questions naturally.
🔐 Privacy-First Design Runs completely locally — no data storage, no cloud processing.
🧪 Proof-of-Concept Prototype Ideal for hackathons, demos, and academic evaluation.
🖥 Local Setup & Execution 1️⃣ Run Ollama with LLaMA 3
Ensure Ollama is installed and running.
ollama run llama3
2️⃣ Start the Application python server.py
That’s it ✅ No databases, no APIs, no embeddings.
🛠 Tech Stack
Language: Python
LLM: LLaMA 3 (via Ollama)
Backend: Python (minimal server / CLI-based)
Deployment: Local machine only
Focus: Privacy, simplicity, legal text explanation
📂 Project Structure (Simplified) LawGeeks-v1/ ├── run.py # Application entry point ├── chat.py # Ollama + LLaMA3 integration ├── prompts.py # System prompts for legal explanation ├── requirements.txt └── README.md
LawGeeks v1.0 is not a substitute for professional legal advice. The system provides informational assistance only and may produce inaccuracies.
🚀 Future Enhancements (Planned)
Document upload support
Clause-level risk highlighting
RAG-based legal retrieval
Secure user history
Cloud deployment
🤝 Contributing
Feedback and contributions are welcome ❤️
Fork the repository
Create a feature branch
Commit changes
Open a Pull Request
📝 License
MIT License
🙏 Acknowledgments
Ollama for local LLM execution
Meta LLaMA 3 model
Open-source AI community