⚖️ Deposition Summarizer

Summarize legal depositions with AI-powered analysis

What It Does

• Analyzes and summarizes deposition transcripts using Gemma 3
• Extracts key testimony, contradictions, and critical statements
• Generates executive summaries and detailed analysis reports
• Keeps all data private and secure with local processing

Tech Stack

• Language: Python 3.8+
• LLM: Gemma 3 via Ollama
• Web Framework: Streamlit (UI), FastAPI (API backend)
• Processing: Local, entirely on your machine
• Privacy: No data leaves your system

Quick Start

Prerequisites

• Python 3.8+
• Ollama installed and running

Installation

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Clone the repository

git clone https://github.com/kennedyraju55/deposition-summarizer.git cd deposition-summarizer

Install dependencies

pip install -r requirements.txt

Pull the Gemma 3 model

ollama pull gemma3:4b

Run the application

streamlit run app.py \\

The application will open at \http://localhost:8501\

Architecture

\
┌─────────────────────────────────────────────┐ │ User (Your Browser) │ └────────────────┬────────────────────────────┘ │ ▼ ┌─────────────────────────────────────────────┐ │ Streamlit Frontend Interface │ └────────────────┬────────────────────────────┘ │ ▼ ┌─────────────────────────────────────────────┐ │ FastAPI Backend Service │ └────────────────┬────────────────────────────┘ │ ▼ ┌─────────────────────────────────────────────┐ │ Local Ollama Server │ │ └─ Gemma 3 Model │ └─────────────────────────────────────────────┘ │ ▼ Response → User \\

Why Local?

Running legal AI locally provides critical protections:

• Attorney-Client Privilege: Your documents never leave your control
• GDPR & Data Privacy: No cloud uploads, full compliance assured
• Confidential Data: Sensitive information stays on your hardware
• Zero Latency: Instant responses without network delays
• Cost Effective: No API fees or subscription charges
• Offline Capability: Works without internet connection

Configuration

Configuration can be customized in the .env\ file:

\\�nv OLLAMA_BASE_URL=http://localhost:11434 MODEL_NAME=gemma3:4b \\

Troubleshooting

"Failed to connect to Ollama"

Ensure Ollama is running: \ollama serve\

"Model not found"

Pull the model: \ollama pull gemma3:4b\

Performance Issues

• Allocate more resources to Docker (if using)
• Reduce model context length in settings
• Use a faster hardware configuration

Contributing

Contributions are welcome! Please:

1. Fork the repository
2. Create a feature branch (\git checkout -b feature/amazing-feature)
3. Commit your changes (\git commit -m 'Add amazing feature')
4. Push to the branch (\git push origin feature/amazing-feature)
5. Open a Pull Request

License

This project is licensed under the MIT License — see the LICENSE file for details.

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Part of 114+ privacy-first AI tools by Nrk Raju