Generative AI and Legal Ethics

Focuses on legal practice ethical duties when using generative AI in legal practice.
Duration: 1 Day
Hours: 1 Hour
Training: Live Training
Training Level: All Level
Batch Three
Monday December 01 2025
02:00 PM - 03:00 PM (Eastern Time)
Live Session
Single Attendee
$149.00 $249.00
Live Session
Recorded
Single Attendee
$199.00 $332.00
6 month Access for Recorded
Live+Recorded
Single Attendee
$249.00 $416.00
6 month Access for Recorded

Overview: 

This 1-hour course, Generative AI and Legal Ethics, explores the ethical responsibilities of legal professionals when integrating generative AI into legal practice. It highlights key concerns such as maintaining competence, ensuring confidentiality, fair billing practices, and preventing unauthorized practice of law. Participants will gain insights into effectively using AI tools, evaluating their reliability, supervising their use, and obtaining client consent where necessary. The course is designed for attorneys, judges, and ethics committee members interested in the ethical implications of AI. It includes discussions on Rule 1.5 fee issues, supervisory duties under Rules 5.3 and 5.5, ABA Formal Opinion 512, and real-world examples where AI misuse resulted in sanctions. No prerequisites are required.

Course Objective: 

  • Understand the ethical duties involved in using generative AI in legal practice.
  • Identify how competence, confidentiality, and fairness in billing apply when using AI tools.
  • Learn how to assess the reliability and limitations of generative AI applications.
  • Explore supervisory responsibilities under ABA Rules 5.3 and 5.5.
  • Examine the need for client consent when AI is involved in legal work.
  • Review key guidance, including ABA Formal Opinion 512.
  • Analyze real-world scenarios where improper AI use led to ethical sanctions.
  • Support ethical decision-making for attorneys, judges, and ethics committees considering AI use.

Target Audience: 

  • Attorneys and legal practitioners integrating or supervising the use of generative AI
  • Judges seeking to understand the ethical implications of AI in court proceedings
  • Members of ethics committees evaluating AI-related conduct
  • Law firm managers responsible for compliance and supervision of AI tools
  • Legal educators and trainers focusing on technology and ethics in law
  • In-house counsel advising organizations on AI use in legal services

Basic Knowledge:

No prior experience with generative AI or legal technology is required. This course is suitable for legal professionals at all levels who are interested in understanding the ethical implications of using AI in legal practice. A basic understanding of legal ethics and professional responsibility rules will be helpful but is not mandatory.

Curriculum
Total Duration: 1 Hour
Introduction to Generative AI in Legal Practice

  • Overview of generative AI and its applications in the legal field
  • Emerging trends and challenges in AI-assisted legal services

Core Ethical Duties in the Use of AI

  • Maintaining professional competence with evolving technologies
  • Ensuring confidentiality when using AI tools
  • Promoting fairness in billing for AI-assisted work
  • Avoiding the unauthorized practice of law

Guidelines for Responsible AI Use

  • Methods for assessing the reliability of generative AI applications
  • Importance of supervising AI usage within legal teams
  • Obtaining informed client consent when using AI in representation

Legal Ethics Rules and Opinions

  • Review of Rule 1.5: Ethical considerations in billing for AI-generated work
  • Supervisory duties under Rules 5.3 and 5.5
  • Discussion of ABA Formal Opinion 512 and its relevance to AI use

Case Studies and Real-World Scenarios

  • Examination of instances where AI misuse led to professional sanctions
  • Lessons learned and best practices for avoiding ethical pitfalls

Conclusion and Key Takeaways

  • Summary of ethical responsibilities
  • Practical tips for integrating AI ethically into legal practice
  • Resources for continued learning and compliance