AI Agents in Your Firm: Avoiding Ethical Nightmares
Active
Program Number
36155
Program Date
2026-05-27
CLE Credits
1
AI agents and generative AI tools are rapidly entering law firm workflows, including legal research, drafting, document review, internal operations, and client communication. This ethics program examines those tools through the framework of ABA Formal Opinion 512 and ABA Model Rules 1.1, 1.3, 1.4, 1.5, 1.6, 3.1, 3.3, 5.1, 5.3, and 8.4(c). Attendees will learn how duties of competence, diligence, confidentiality, communication, fee reasonableness, supervision, meritorious advocacy, candor to the tribunal, and honesty apply when lawyers and law firms use AI agents or other generative AI systems. The program also addresses hallucinated citations, disclosure to clients, billing for AI-assisted work, vendor due diligence, training and internal policy controls, and the lawyer’s continuing responsibility to review and verify all AI-assisted work product before it is provided to a client, third party, or tribunal.
ABA Authorities Covered
ABA Formal Opinion 512 (Generative Artificial Intelligence Tools); Model Rule 1.1 (Competence); Model Rule 1.3 (Diligence); Model Rule 1.4 (Communications); Model Rule 1.5 (Fees); Model Rule 1.6 (Confidentiality of Information); Model Rule 3.1 (Meritorious Claims and Contentions); Model Rule 3.3 (Candor Toward the Tribunal); Model Rule 5.1 (Responsibilities of Partners, Managers, and Supervisory Lawyers); Model Rule 5.3 (Responsibilities Regarding Nonlawyer Assistance); and Model Rule 8.4(c) (Misconduct).
Note: This course provides ethics guidance grounded in ABA authorities. Attorneys remain responsible for reviewing the rules, ethics opinions, and court requirements that govern AI use in their own jurisdiction.
Learning Objectives:
Identify the principal ethical risks created by AI agents and generative AI tools in law firm practice.
Apply ABA Formal Opinion 512 and the ABA Model Rules to issues of competence, diligence, confidentiality, communication, supervision, candor, honesty, and fees.
Evaluate when AI-generated output must be independently reviewed, corrected, or withheld before being shared with clients, courts, or third parties.
Recognize when lawyers must communicate with clients about AI use, including when AI affects the means of representation or the basis and reasonableness of fees.
Implement practical safeguards for training, policy development, vendor vetting, secure data handling, billing, and attorney oversight.