AI Ethics for Attorneys

A Practical Guide to Responsible AI Use in Legal Practice

As AI becomes embedded in legal research, drafting, discovery, and billing, attorneys face new ethical challenges — from hallucinated case law and bias to confidentiality breaches and liability for errors. This program equips legal professionals with the knowledge and tools to evaluate, supervise, and responsibly integrate AI into practice while meeting their professional obligations under the ABA Model Rules.

Duration:

2.0 hours (Ethics Credit)

Format:

Live Webinar / In-Person

Audience:

Attorneys, Law Firm Partners, Compliance Professionals, Paralegals and In-House Counsel

Learning Objectives

By the end of this course, participants will be able to:

  • Identify the core ethical risks of AI, including hallucinations, bias, confidentiality breaches, and vendor instability.
  • Apply ABA Model Rules (1.1, 1.6, 1.15, 5.3) to real-world scenarios involving competence, confidentiality, safekeeping property, and supervision.
  • Evaluate AI vendors using a structured due diligence framework for privacy, privilege, liability, and data security.
  • Recognize when disclosure of AI use is required and understand malpractice and billing implications.
  • Develop firm-level governance practices for AI adoption, including oversight, training, and risk management.

Instructional Methods

  • Lecture with case examples
  • Interactive polls and discussions
  • Scenario-based exercises
  • Group review of sample AI vendor terms

Faculty

Instructor: Harish Bhat, Chief AI Officer, Trellissoft; Adjunct Faculty, Golden Gate University Law School; Author of Demystifying Prompt Engineering: AI Prompts at Your Fingertips. Experienced in training attorneys and law firms on AI adoption, ethics, and compliance.

CLE & MCLE Accreditations

View accreditation status

Customization Options

This program can be tailored into:

  • Half-day workshops
  • One-day intensives
  • 2-week academic modules for law schools or corporate law firms
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