"A system for legal document analysis and contract management" matching MCP servers:

MCP server for first-pass legal contract review. It loads txt/docx/pdf contracts, detects standard clauses, flags heuristic risks, summarizes, and compares agreements.

Legal Document AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

An AI-powered MCP server for analyzing Japanese legal contracts and identifying risks through a RAG-enhanced workflow. It enables clients to search legal knowledge, analyze clause risks, and generate automated contract review reports.

Analyzes financial contract PDFs to extract clauses, flag risk terms, and compare contract versions, producing structured risk briefs for legal and risk teams.

A Model Context Protocol server that provides document analysis capabilities to LLM applications, including extraction, chunking, summarization, and semantic search for PDF, DOCX, and plaintext documents.

Verifies legal citations by fetching the exact, in-force wording of cited articles from official PL and EU legal sources, preventing hallucination by returning verbatim text.

An MCP server for Indian legal work that enables case-law research with verified citations, limitation and deadline calculations, legal document drafting, matter tracking, and contract search.

A remotely callable MCP server for US legal research that provides tools to search, retrieve, and analyze US case law from the CourtListener API, enabling agents to build evidence packs from primary sources without generating legal content.

MCP server for a pre-interaction risk check on any EVM contract/token, enabling agents to verify contracts before approving, swapping, or trusting an address.

Thread Contract is a local runtime contract layer for AI coding-agent threads. It lets users pin explicit, thread-scoped rules without turning them into project policy or long-term memory.

Enables AI assistants to search and analyze German legal texts using vector embeddings and semantic search.

MCP server for document conversion and processing, enabling AI assistants to handle various document formats.

A Model Context Protocol server for legal document search and retrieval, powered by Azure Cosmos DB and Voyage AI embeddings, exposing 12 tools for semantic search, keyword search, Bates number lookup, claim-specific queries, and statutory citation search over a corpus of vectorized legal documents.

Provides an intelligent, graph-based memory system for LLM agents using the Zettelkasten principle, enabling automatic note construction, semantic linking, memory evolution, and autonomous graph maintenance with background optimization processes.

Provides AI-powered legal tools including contract review, drafting, legal research, document summarization, and compliance checks via OpenRouter.

Enables users to preprocess, analyze, and visualize CSV data through comprehensive tools for data manipulation, statistical analysis, and graph generation.

A comprehensive document analysis server that performs sentiment analysis, keyword extraction, readability scoring, and text statistics while providing document management capabilities including storage, search, and organization.

Enables US case law search, citation parsing, practice management via Clio, and federal court filings through PACER.

Enables local analysis of unstructured documents (PDF, DOCX, PPTX, SVG, PNG) by extracting text and structure with citation anchors, and verifies summaries against source material before a human approves saving a report.

A local, read-only MCP server (plus CLI) over your own stock/ETF transaction log. A deterministic core computes drawdown-first risk with bootstrap confidence intervals and validates targets with walk-forward verdicts. The assistant narrates, but the number fence makes it structurally impossible for the model to produce a figure.