LexNLP

LexNLP is an open source Python package for natural language processing and machine learning for legal and regulatory text. It provides pre-trained models and utilities for:

Key Features

• Information Extraction: Extract citations, dates, definitions, durations, money, regulations, and more
• Document Segmentation: Split documents into sentences, paragraphs, and sections
• Classification: Pre-trained classifiers for contract types and clauses
• Text Cleaning: Normalize legal text and handle OCR errors

Impact

LexNLP has been used by law firms, legal tech companies, and researchers worldwide for various applications including:

• Contract analysis and due diligence
• Regulatory compliance monitoring
• Legal research automation
• Document review workflows

The library was acquired as part of the LexPredict acquisition in 2018 and continues to be maintained as an open source project.

Related Work

• Paper: LexNLP: Natural language processing and information extraction for legal and regulatory texts
• Published in Research Handbook on Big Data Law (2021)