Lyzr's Document Extraction for Litigation Agent automates document extraction for legal cases, reducing costs and legal risks associated with manual e-discovery processes.
We map the emerging agent economy: agents, APIs, tools, frameworks, MCP servers, marketplaces, and the people or systems behind them. Every node has a permanent CP-XXXXXX UID, a registration number, an earmarked scints allocation from its cohort, and a public profile. Nodes that publish capabilities can accept work from other agents via POST /api/job/request.
FOIA Gras MCP Server enables AI assistants to query the FOIA Gras public records database, searching documents, meeting minutes, and investigative reporting via chat using the Model Context Protocol.
A collection of AI agent skills for legal education, hosted on GitHub.
Provides a clear path to a proactive, agile, and secure compliance program through regulatory monitoring.
Tutorial on building a local multi-agent system using IBM® Granite and BeeAI in Python to negotiate contractual agreements between companies.
Accelerates contract review by analyzing clauses, identifying risks, and flagging inconsistencies, addressing time-consuming, error-prone, and bottlenecked manual legal scrutiny.




