Law Forge
Parsing dense legal agreements using deep learning NLP
Key Achievements
Spearheaded the development of a React-based interactive viewer that visualizes parsed document analysis in side-by-side viewports
Developed a custom FastAPI parser to segment PDFs and identify clauses, handling large document structures efficiently
Implemented a compliance checker utilizing GPT models that tags high-risk phrases, liability clauses, and termination terms
The Challenge
Reviewing legal documents manually takes hours and introduces human error. Legal teams needed a way to instantly extract clauses, assess liabilities, and compare contracts side-by-side with semantic accuracy.
Strategy & Implementation
Law Forge leverages customized prompt engineering and structured JSON outputs from LLMs. The backend splits long documents into semantic blocks, analyzes them against compliance checklists, and renders risk indicators on a high-fidelity interface.
Impact & Results
Reduced document review time from 3 hours to less than 5 minutes per contract, with 95% key-clause recall rate.