Legal Document Extraction Project

This project aims to develop an AI-based system for extracting relevant data from legal documents, such as party names, legal references, and document types.

Project Structure

• data/: Contains legal documents and datasets.
• models/: Stores trained models.
• notebooks/: Jupyter notebooks for experiments.
• src/: Source code for preprocessing, NER, classification, and API.
• tests/: Unit tests for the components.
• config/: Configuration files.
• requirements.txt: Python dependencies.
• Dockerfile: Docker configuration.

Installation

1. Clone the repository.
2. Install dependencies:

   pip install -r requirements.txt