Tennessee has not issued AI-specific ethics guidance for lawyers. The Tennessee Bar Association has no formal opinion or advisory report on generative AI use in legal practice. The bar acknowledges general technology competence expectations, but has not translated those into AI-specific rules or recommendations.
Tennessee's position is notable because the state is home to a significant legal market — Nashville and Memphis have large firm presences, and the state's courts handle substantial litigation volume. The lack of guidance leaves Tennessee firms navigating AI adoption without a state-specific framework, relying instead on general ethics rules and peer state opinions.
What the Bar Says
The Tennessee Bar Association has not published any AI-specific ethics guidance. Tennessee's Rules of Professional Conduct, based on the ABA Model Rules, apply by default. Rule 1.1 (Competence) includes the duty of technological competence — Tennessee recognizes this obligation generally but has not specified what it means for AI. Rule 1.6 (Confidentiality) requires protection of client information in any technology. Rule 5.3 (Supervision) governs non-lawyer assistance, which extends to AI tool outputs. The ABA's Formal Opinion 512 (2024) provides persuasive authority in the absence of Tennessee-specific guidance.
Billing Implications
No AI billing guidance exists from the Tennessee Bar. Rule 1.5 establishes the reasonableness standard. The same analysis applies to AI as to any efficiency tool: fees must reflect the value and effort delivered. If AI reduces a 6-hour research project to 45 minutes, billing 6 hours raises reasonableness concerns. Tennessee firms should document AI use in time entries, consider alternative fee structures for AI-heavy work, and look to states with formal guidance like Florida and New York for billing models.
Confidentiality Rules
Tennessee expects general technology competence, which implies a baseline obligation to protect client data in AI tools. Rule 1.6 requires reasonable measures to prevent unauthorized disclosure. Without AI-specific guidance, attorneys must apply this standard independently: evaluate vendor data handling, avoid consumer AI for client work, use enterprise tools with contractual protections. Tennessee's recognition of technology competence as an ethics obligation suggests the bar views data protection in AI as covered by existing rules, even without a dedicated opinion.
What's Still Unclear
Tennessee has not addressed AI disclosure requirements for courts or clients, billing frameworks for AI-assisted work, client consent for AI use, or specific AI competence standards. Federal courts in Tennessee's Eastern, Middle, and Western Districts may independently adopt AI disclosure requirements. The Tennessee Supreme Court, which governs attorney regulation through the Board of Professional Responsibility, has not signaled whether AI guidance is forthcoming. Firms operating in Tennessee's growing legal tech market are left to self-regulate.
The Bottom Line: Tennessee recognizes technology competence obligations but has no AI-specific ethics guidance — firms must apply general rules and build policies from peer state models.
AI-Assisted Research. This piece was researched and written with AI assistance, reviewed and edited by Manu Ayala. For deeper takes and the perspective behind the research, follow me on LinkedIn or email me directly.