Other trackers tell you what the law says. EveryAILaw lets your software check it. 74 instruments, 10 obligations, 219 provisions across 40 jurisdictions — structured JSON (no auth, no rate limits) and a free 15-tool MCP server. The limited-production Pro MCP layer adds authenticated higher limits, five profile/audit/subscription tools, saved profiles, and signed regulation-change webhooks. The overall offer and 99.5% service target remain market-testing. 50 currently enforcing. Verification and source-review dates vary by provision.
These are recorded dates, not a live countdown. Check each source for current status.
Enforcing instruments with the nearest effective dates. 74 instruments tracked across 40 jurisdictions.
competence 1 regulation
Requirement that organizations ensure sufficient AI literacy among staff who develop, deploy, or oversee AI systems, tailored to their roles and responsibilities.
fairness 11 regulations
Requirement to prevent, detect, and mitigate discriminatory outcomes from AI systems, including testing for disparate impact across protected classes.
compliance 5 regulations
Requirement to demonstrate that AI systems conform to applicable requirements through formal assessment procedures, potentially including third-party audits.
governance 12 regulations
Requirement to manage training data, ensure data quality, document data provenance, and maintain appropriate data governance practices for AI systems.
disclosure 3 regulations
Requirement to provide meaningful explanations of how AI systems reach decisions, particularly when those decisions significantly affect individuals.
governance 27 regulations
Requirement that humans maintain meaningful oversight over AI-assisted decisions, including the ability to understand, override, and intervene in automated outputs.
accountability 13 regulations
Requirement to report AI-related incidents, safety concerns, or failures to regulatory authorities within specified timeframes.
accountability 13 regulations
Requirement to maintain records of AI system development, deployment decisions, and operational logs sufficient for regulatory review.
governance 36 regulations
Requirement to assess and document the risks posed by AI systems, including potential harms, bias, and impacts on affected individuals.
disclosure 46 regulations
Requirement to disclose AI involvement to users, label AI-generated content, and provide adequate information about system capabilities and limitations.
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