21. 📜 Clause Extractor

Overview

An AI-powered service that ingests legal contracts in PDF or Word format, identifies and extracts key contractual clauses (e.g., termination, confidentiality, indemnification), and categorizes them for rapid review.

Primary Use Cases

• Legal teams streamlining contract review by pinpointing relevant clauses
• Procurement identifying risk clauses in vendor agreements
• Business users quickly locating specific provisions without full manual reading

Key Features

• Document ingestion: upload PDF/Word or point to a document repository
• Clause detection: NLP model tags clause boundaries and headings
• Classification: assigns extracted clauses to standard types (e.g., Termination, Payment, Confidentiality)
• Export: download extracted clauses as CSV/JSON or annotated PDF

Tech Stack

• Frontend: React + TypeScript + Tailwind for file upload UI and results dashboard
• Backend: FastAPI (Python) for AI endpoints; optional Go microservice for batch processing
• AI Models:
  • Clause detection: fine-tuned legal-bert for sequence labeling
  • Clause classification: roberta-base fine-tuned on labeled legal datasets
• Database: PostgreSQL for metadata and extracted clause storage

Architecture

1. Upload Service receives documents → stores raw file
2. Preprocessing converts to text (pdfplumber/PyMuPDF) → cleans and segments