S3-Framework: Legal LLM Evaluation Framework
Overview
S3-Framework is an open-source project designed to provide a robust, transparent, and reproducible framework for evaluating Legal Large Language Models (LLMs). The framework aims to help legal professionals, technologists, and researchers assess the performance, reliability, and compliance of LLMs in legal contexts.
Features
- Standardized Evaluation Metrics: Implements industry-standard benchmarks and custom metrics tailored for legal tasks.
- Reproducible Workflows: Ensures that evaluation processes can be repeated and verified by others.
- Extensible Architecture: Easily add new evaluation modules or integrate with other legal tech tools.
- Transparent Reporting: Generates clear, auditable reports for regulatory and internal review.
Getting Started
- Clone the Repositorygit clone https://github.com/Legalcomplex/S3-Framework.git
cd S3-Framework
- Install Dependencies
- Ensure you have Python 3.8+ installed.
- Install required packages:pip install -r requirements.txt
- Run an Example Evaluation
- Use the provided scripts or notebooks to run a sample evaluation on your LLM.
Folder Structure
- /src — Core framework code
- /examples — Example evaluation scripts and datasets
- /docs — Documentation and usage guides
Contributing
We welcome contributions from the legal, tech, and research communities. Please open an issue or submit a pull request for bug fixes, new features, or documentation improvements.
License
This project is licensed under the MIT License.
Contact
For questions, suggestions, or collaboration inquiries, please open an issue on GitHub or contact the repository owner.