Please join us for a Complimentary JINLAW Virtual CLE

This program examines how AI tools used in law firms generate biased outcomes that implicate Model Rule 8.4(g)’s prohibition on discrimination and harassment. Participants will analyze how AI-driven intake systems, hiring platforms, and content-generation tools create ethical exposure, even without discriminatory intent.

The course connects Rule 8.4(g) to the supervisory duties of Rules 5.1 and 5.3 and the duty of technological competence under Rule 1.1, providing a structured framework for evaluating lawyer responsibility for algorithmic decisions. Attendees will leave with a practical risk-management approach to auditing, supervising, and documenting AI use to reduce disciplinary and malpractice risk.
 
Learning Objectives:

1. Develop practical governance and documentation strategies to mitigate bias-related
disciplinary and malpractice risk within your practice and law firm.

2. Identify how AI bias can trigger ethical exposure under Rule 8.4(g).

3. Analyze lawyer’s supervisory and competency obligations under Rules 1.1, 5.1, and 5.3 when deploying AI tools.

Presented by: Jeffrey Cunninham, Esq., Partner & General Counsel, Cohen Vaughan

Featuring: Complimentary CLE Ethics Credit (Applied for in CA, FL, GA, IL, NV, NY, NJ, PA, TX & MA)