Litigation Simulator

A cutting-edge legal technology platform for data-driven trial preparation, judge analytics, outcome prediction, and interactive litigation simulation. Built for attorneys and legal teams, with a focus on Commercial Real Estate (CRE) litigation.

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Features

• Judge Analysis: Profiles, writing style, ruling patterns, questioning analysis
• Case Outcome Prediction: ML-powered predictions, factor analysis, "what-if" scenarios
• Interactive Simulation: AI-generated judicial questioning, opposing counsel, feedback
• Strategy Recommendations: Citation and argument suggestions
• Admin Tools: Data import, model retraining, background tasks

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Technical Architecture

• Backend: FastAPI (Python), async, modular microservices
• Frontend: React.js (TypeScript), Tailwind CSS, Recharts
• Database: PostgreSQL (relational), Redis (cache/queue), JSONB for analytics
• ML/AI: Transformers, scikit-learn, topic modeling, clustering, simulation engine
• Deployment: Docker Compose, Kubernetes, AWS-ready

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Quick Start

1. Clone the Repository

git clone https://github.com/tony-42069/litigation-simulator.git
cd litigation-simulator

2. Environment Setup

• Python 3.10+
• Node.js 16+ and npm
• Docker & Docker Compose
• PostgreSQL 13+
• Redis 6+ (can use WSL or Docker)

3. Configure Environment Variables

Copy .env.example to .env and fill in your credentials:

POSTGRES_USER=postgres
POSTGRES_PASSWORD=your_password
POSTGRES_DB=litigation_simulator
POSTGRES_HOST=localhost
POSTGRES_PORT=5432
REDIS_HOST=localhost
REDIS_PORT=6379
COURT_LISTENER_API_TOKEN=your_court_listener_api_token
SECRET_KEY=your_secret_key
DEBUG=True
MODEL_DIR=./models

4. Database Setup

• Create the database:

  psql -U postgres -c "CREATE DATABASE litigation_simulator;"

• Initialize schema:

  psql -U postgres -d litigation_simulator -f schema.sql

5. Data Import

• Install dependencies:

  pip install -r requirements.txt

• Import initial data from Court Listener:

  python import_courtlistener_data.py

6. Running the App

• Backend:

  uvicorn api-endpoints:app --reload

• Frontend:

  cd frontend
  npm install
  npm start

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Deployment

• Docker Compose:

  docker compose -f docker-compose.dev.yml up -d

• Kubernetes & AWS:
  See deployment-instructions.md for full production deployment steps.

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Contributing

1. Fork the repo and create your branch
2. Commit your changes with clear messages
3. Push to your fork and submit a pull request

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Documentation

• Project Overview
• Technical Architecture
• Database Schema
• Business Plan
• Deployment Instructions
• TODO List

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License

MIT License

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Contact

For questions, support, or partnership inquiries, please open an issue or contact the maintainer.