Resources

Governance & Ethics Frameworks

Practical tools and frameworks for law firms implementing AI responsibly — built on real-world deployment experience and aligned with current ethics standards.

Featured Resource

Current AI Ethics Checklist for Lawyers

A comprehensive, practical checklist designed for lawyers evaluating and deploying AI tools within their practice. Covers competence obligations, confidentiality safeguards, supervisory duties, client communication requirements, and billing considerations — all aligned with current ABA Model Rules and state bar guidance.

ABA Model Rules compliance framework
State bar ethics opinion alignment
Practical implementation steps
Risk assessment methodology

Self-Assessment Tool

AI Governance Readiness Assessment

A self-scoring framework that helps law firms evaluate their AI governance posture across seven critical domains — and surface the gaps that create professional responsibility exposure. Score your firm in under 10 minutes.

7 domains
31 scored statements
62-point scale
Aligned with ABA Rules 1.1, 1.6, 5.1, 5.3

Ethics Watch

Stay ahead of AI ethics — every month

A monthly newsletter for law firms covering the evolving AI ethics landscape. Curated by AI, reviewed by our team — and delivered straight to your inbox.

Why Governance Matters

Ethics and compliance are not optional

As AI becomes embedded in legal workflows, firms face new obligations under ABA Model Rules, state bar ethics opinions, and emerging regulatory guidance. These resources help you meet those obligations head-on.

Competence (Rule 1.1)

Lawyers must understand the AI tools they use — including their capabilities, limitations, and risks. Our frameworks provide the knowledge foundation for competent AI adoption.

Confidentiality (Rule 1.6)

Client data flowing through AI systems requires robust safeguards. Our governance framework addresses data handling, access controls, and vendor obligations.

Supervision (Rules 5.1 & 5.3)

AI outputs require human oversight. Our frameworks define clear accountability structures, review procedures, and escalation paths for every automated workflow.

Need help implementing these frameworks?

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