Contract Review Assistant

A tool for reviewing contracts against GDPR compliance guidelines using AI.

Features

• Contract analysis using AI
• GDPR compliance checking
• Local and cloud-based implementations
• Detailed compliance reports
• Clause-by-clause analysis

Prerequisites

• Python 3.9 or higher
• OpenAI API key (for GPT-4)
• LlamaCloud API key (optional, for cloud implementation)

Installation

1. Clone the repository:

git clone https://github.com/yourusername/ContractReviewAssistant.git
cd ContractReviewAssistant

2. Create and activate a virtual environment:

python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

3. Install dependencies:

# Option 1: Using pip
pip install -r requirements.txt

# Option 2: Using setuptools
pip install -e .

4. Set up environment variables: Create a .env file in the project root with:

OPENAI_API_KEY=your_openai_api_key_here
LLAMA_CLOUD_API_KEY=your_llama_cloud_api_key_here  # Optional

Configuration

The project supports two LLM providers:

OpenAI Configuration

1. Set LLM_PROVIDER=openai in your .env file
2. Configure your OpenAI API key: OPENAI_API_KEY=your-api-key
3. Optionally specify the model: OPENAI_MODEL=gpt-4

Ollama Configuration

1. Install Ollama following instructions at https://ollama.ai
2. Start the Ollama server locally
3. Set LLM_PROVIDER=ollama in your .env file
4. Configure the model: OLLAMA_MODEL=llama2 (or any other model you've pulled)
5. Optionally specify a different base URL: OLLAMA_BASE_URL=http://localhost:11434

Usage

Local Implementation

1. Add your GDPR guidelines to data/guidelines/ directory
2. Run the local version:

contract-review-local

Cloud Implementation

1. Set up your LlamaCloud credentials
2. Run the cloud version:

contract-review

Command Line Options

• --contract-path: Path to the contract file (default: data/vendor_agreement.md)
• --verbose: Enable verbose output (default: True)

Project Structure

contract_review/
├── config/           # Configuration files
├── models/          # Data models
├── prompts/         # AI prompts
├── utils/           # Utility functions
├── workflows/       # Workflow definitions
├── cli.py           # Command-line interface
├── main.py          # Cloud implementation
└── main_local.py    # Local implementation

Development

To contribute to the project:

1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Submit a pull request

License

MIT License - see LICENSE file for details