Overview

Regumint is an AI-powered legal analysis platform designed to help companies and non-experts reliably navigate dense legal documents and perform compliance checks. By leveraging an advanced Agentic Retrieval-Augmented Generation (RAG) architecture, the platform reads user-uploaded documents and delivers structured, highly accurate answers to complex legal questions.

Key Achievements

• Agentic Retrieval (Agentic RAG): Engineered an intelligent retrieval system using LangGraph that reasons about multi-part questions, iterates on vector searches, and refines queries to ensure comprehensive coverage of the source material.
• Strict Citation Validation: Built a robust post-generation validation pipeline that cross-checks every LLM-generated claim against the actual source text, effectively eliminating hallucinations and ensuring the answers are trustworthy enough for legal work.
• Intelligent Document Pipeline: Developed a fully automated backend pipeline that handles document deduplication, AI-assisted classification, and adaptive chunking optimized specifically for complex structural documents.
• End-to-End MVP Delivery: Architected and deployed a complete full-stack solution featuring a Next.js frontend, an asynchronous FastAPI backend, and a unified PostgreSQL relational/vector database, all containerized for reproducible deployment.
• Secure Production Deployment: Designed and managed a secure production environment, configuring NGINX as a reverse proxy to handle isolated container networking, SSL termination, and secure routing across the full stack.