MCP server for validating legal citations against CourtListener's 9M+ opinion database — detects AI-hallucinated citations, name mismatches, and ambiguous reporters with an interactive citation panel.

Cite Lens: An AI Tool for Detecting Out-of-Scope and Out-of-Context Citations; Conference paper accepted at TPDL 2025

🏛️ Deterministic rejection layer for computational legal claims. Verifies dates, amounts, and structured constraints; blocks unproven legal outputs.

A full-stack RAG (Retrieval Augmented Generation) application with hybrid search, cross-encoder reranking, citation-verified AI answers, and LLM-as-Judge evaluation. Supports multiple AI providers including OpenAI, Anthropic, and Ollama for fully local operation.

CRAG-based Document Intelligence Platform with Multi-Agent Retrieval, Relevance Grading, Citation Validation and Web Fallback.

RAG engine with citation validation, confidence scoring, and audit logs for legal AI

Production RAG system with ingestion, embeddings, BM25, semantic search, reranking, citation validation, evaluation, FastAPI, Docker, ChromaDB and tests.

An integrity-first template for AI-assisted research that enforces document provenance, citation coverage, and audit logging—without slowing down exploratory work.

Production-style RAG evaluation lab that ingests synthetic enterprise documents, validates citations, measures retrieval accuracy, scores hallucination risk, and generates RAG trust reports.