Cross-jurisdictional compliance for AI applications.

Deterministic statutory mapping across the EU AI Act & GDPR, India DPDP Act 2023, and US NIST AI RMF before code leaves your editor. Published on npm as jurisync with native Model Context Protocol (MCP) support.

Feature Description 0 characters

Quick test scenarios:

How JuriSync Works

From Natural Language to Deterministic Statutory Rules

Lexical Risk Signals

Detects explicit triggers (biometrics, employment, minors, scraping, autonomous decision-making) without hallucination.

Curated Statutory Rules

Evaluates vetted JSON rules linked directly to Official Journals, Gazette notifications, and NIST publications.

Binding vs Voluntary

Separates enforceable statutory duties (EU AI Act, DPDP) from voluntary safety benchmarks (NIST AI RMF).

Actionable Checklist

Generates prioritized markdown tasks ready for GitHub issues, Jira tickets, or pull request verification.

Compliance Blueprint & Decision Support Dossier

Evaluated across EU • India • US

Analyzed query

Detected Risk Signals

Confidence: -- 0 signals detected

Statutory triggers identified in the feature description mapped to sovereign compliance regimes.

Sourced Statutory Findings (Curated Rule Library)

🔒 Binding Legislation 📋 Voluntary Framework

Statutory requirements matched from vetted rules with traceable citations and official gazette links.

🇪🇺

European Union

EU AI Act (2024/1689) & GDPR

Binding Legislation

🇮🇳

India

DPDP Act 2023 & MeitY Advisories

Binding Legislation

🇺🇸

United States

NIST AI RMF 1.0 & Sectoral/State

Voluntary / State

Actionable Developer Checklist

0 / 0 completed

Specific tasks extracted from applicable statutes. Directly check items as you implement or copy the markdown into your repository.

Statutory Notice: Illustrative output for development support only. Not a verified legal assessment. Exact applicability depends on the specific system and current law.

⚡ Model Context Protocol (MCP) Stdio Tool Output

Matches the protocol-compliant JSON-RPC 2.0 response returned by our working Model Context Protocol server (node mcp-server.js) when an AI coding assistant invokes the analyze_compliance tool via stdio:

Open Source AI Governance npm jurisync@1.0.1 Deterministic Statutory Grounding

System Architecture: Cross-Jurisdictional Regulatory Orchestration

1. The Divergence Problem

AI coding assistants and autonomous agents build software globally, but AI regulation is fragmented. A feature permitted under US voluntary frameworks may trigger mandatory high-risk conformity assessments under EU AI Act Annex III, or violate India DPDP purpose-limitation rules before developers even notice.

2. Deterministic Rule Matching

Generic LLMs frequently hallucinate legal sections. JuriSync replaces ungrounded text with a deterministic pipeline: natural language signal detection, 32 curated statutory rules from official government gazettes, cross-border tension detection, and an actionable developer checklist.

3. Zero-Egress Privacy Architecture

Evaluations execute 100% client-side in the browser or locally via stdio pipes. Zero prompt exfiltration, zero PII retention, and zero external network calls. Built for early-stage architectural decision support to bridge engineering and legal teams.