MCP server and static dataset for the AI Incident Law public-record corpus: AI-related litigation, regulatory action, tribunal records, and review-queue matters. Anchored to EveryAILaw obligations for cross-graph queries.
Everything here was measured by our prober or read from a registry. Nothing is self-reported.
Attributed to the source that supplied each field. Treated as claims, not facts.
No long description beyond the summary.
Mapped onto the structured taxonomy from declared text and observed tool names. Confidence shown for derived entries.
Every source is kept verbatim. Field changes are logged as events.
Map text into knowledge graphs to create a structured representation of conceptual relations and t…