Legal Info MCP Server

[!WARNING] This Legal Info Model Context Protocol (MCP) server produces informational analyses only. It does not constitute legal advice, does not create an attorney–client relationship, and may contain errors or omissions. Large Language Models (LLMs) can hallucinate or misinterpret context. You (the user) are solely responsible for validating outputs before relying on them. The author(s) of this project assume no liability for any legal, regulatory, commercial, or compliance consequences arising from use of the generated reports.

Table of Contents

• What This Is
• Core Benefits
• When To Use Which Prompt
• Prompts & Arguments (Adaptability Matrix)
  • 1. legal_landscape_discovery
  • 2. risk_analysis_framework
  • 3. comprehensive_privacy_audit
  • 4. website_and_app_legal_disclosure_check
  • 5. security_legal_alignment_check
  • 6. ai_ethics_and_compliance_scan
  • 7. intellectual_property_and_oss_audit
  • 8. market_and_customer_compliance_audit
  • 9. legal_prompts_catalog
• How to Use Them
• Output Conventions
• How It Works (Architecture)
• Example Workflow
• Adaptability Patterns
• Reliability & Limitations
• Safety & Review Checklist
• Installation & Configuration
  • Claude Code
  • VS Code
  • Cursor
  • Verification

What This Is

A modular, high-signal Legal Info MCP Server that provides structured, methodology‑driven prompt endpoints for rapid legal/compliance landscape mapping, gap discovery, and risk prioritization across privacy, IP, AI governance, security, consumer, and disclosure domains.

Core Benefits

• Adaptable to any repository / product context via argument-driven scoping (jurisdiction, sector, model type, targetPath, risk domains, etc.)
• Phased methodologies that produce reproducible, timestamped Markdown reports in legal_docs/
• Non-prescriptive framing: identifies evidence-based gaps & risk vectors without generating normative legal advice
• Composable sequencing: run discovery → domain audits → consolidation (risk-analysis-framework)
• Audit traceability: consistent section ordering & explicit assumptions surfaces maturity over time

When To Use Which Prompt

| Stage | Recommended Prompts | | ----------------------------------- | -------------------------------------------------------------------------------- | | Initial mapping / greenfield | legal_landscape_discovery | | Data-heavy / personal data handling | comprehensive_privacy_audit | | AI / model artifacts appear | ai_ethics_and_compliance_scan | | OSS / licensing maturity check | intellectual_property_and_oss_audit | | Commercial launch readiness | market_and_customer_compliance_audit, website_and_app_legal_disclosure_check | | Security posture vs legal duties | security_legal_alignment_check | | Consolidate multi‑audit outputs | risk_analysis_framework

... View full README on GitHub