CogniClause: AI-Powered Contract Intelligence System for Clause-Level Risk Analysis and Optimization

CogniClause is an AI-powered contract intelligence system designed to automate clause-level legal document analysis using modern Natural Language Processing and transformer-based semantic understanding techniques. The system performs: contract text extraction, clause segmentation, semantic embedding generation, contextual risk classification, and AI-assisted clause optimization. Unlike traditional keyword-based legal analysis systems, CogniClause leverages transformer architectures such as Sentence-BERT and LegalBERT to capture contextual meaning and improve risk detection accuracy in contractual clauses. The platform integrates: React frontend dashboard, FastAPI backend services, Supabase PostgreSQL database, PyMuPDF document parsing, and Large Language Models for intelligent clause rewriting and optimization. Key Features: Semantic clause analysis Risk scoring and classification AI-generated safer clause alternatives PDF/DOCX contract processing Interactive visualization dashboard Modular scalable architecture Technologies Used: Python FastAPI React Tailwind CSS Sentence Transformers LegalBERT Supabase PyMuPDF LLM APIs (OpenRouter/Groq) Experimental evaluation on real-world contract samples demonstrated: 88–92% clause classification accuracy ~85% risk detection precision 2–4 second average processing time This work explores the practical application of transformer-based Legal NLP systems for improving efficiency, accessibility, and consistency in contract review and legal risk analysis workflows.