Built by Legal Minds.
Designed for Working Teams.
The operating system for Agentic AI Governance. Transform compliance from a bottleneck into a competitive advantage with expert guidance.
Internal Risk Audit
ACTION REQUIREDYour organization is currently operating with significant governance gaps.
The AI Governance
Gap
AI adoption is outpacing governance execution. Organizations are deploying AI tools across teams faster than they can govern them. Policies and frameworks exist—but there is no real-time oversight, no complete inventory of AI systems, and no defensible accountability.
Without Method 9
- Manual tracking via spreadsheets and surveys
- Reactive compliance after incidents
- No visibility into shadow AI usage
- Legal team bottleneck on every decision
With Method 9
- Automated real-time AI inventory
- Proactive governance with embedded guardrails
- Complete shadow AI detection and assessment
- Self-service compliance with expert oversight
Visualize Your Liability.
Master Your Risk.
Method 9 replaces 'Governance Anxiety' with Runtime Sovereignty. We bridge the gap between engineering execution and legal liability by translating raw system behavior into a board-ready System of Record. We don't just flag risks; we build the technical and legal shields that prove your organization was reasonable, even when your agents are autonomous.
The Regulatory Roadmap
ISO 42001
International standard for AI management systems
Active
NIST AI RMF
Risk management framework for trustworthy AI
Active
Colorado AI Act
Enforcement of algorithmic discrimination prevention
June 30, 2026
EU AI Act
Full operational enforcement for High-Risk AI systems
August 2, 2026
Essential Reading
The 2026 AI
Governance
Playbook
Prepare your legal and engineering teams for the next wave of global regulation. Includes implementation checklists for ISO 42001, NIST AI RMF, Colorado AI Act, and the EU AI Act.
Governance that Moves with You
Build it, buy it, or use it - Method 9 tracks it. We unify oversight across your entire AI ecosystem, and provide the clarity to scale AI with confidence.
Sourced AI
Vendor-built or partner-provided. Audit external models and verify third-party compliance claims.
Embedded AI
Third-party platforms or products. Track AI features hidden inside your existing enterprise software stack.
In-House AI
Developed internally by your teams. Ensure models are safe, compliant, and aligned with company policy.