AI Legal Document Search

AI Legal Document Search is an enterprise-grade Legal Retrieval-Augmented Generation (RAG) platform tailored for complex litigation, compliance, and legal research analysis. Built on a sophisticated architecture utilizing React, TypeScript, Tailwind CSS v4, and Supabase, the application resolves critical bottlenecks in processing massive legal corpora. The platform features an advanced "Legal Corpus Upload" and management dashboard mirroring elite environments like Databricks or Azure AI Studio. It supports multi-format drag-and-drop ingestion (PDF, DOCX, TXT, JSON) with strict pre-upload validations including SHA256 duplicate hash detection and corrupted file filtering. Once uploaded, documents flow through a live, simulated websocket-updated 14-stage pipeline—spanning OCR, Legal Entity Recognition, and vector index generation. Administrators can deeply inspect individual document layers via an interactive 7-tab metadata drawer revealing live logs, token counts, and embedding dimensions, providing unprecedented visibility into the legal intelligence pipeline.