Part 1 of 2 - This program examines the intersection of AI ethics and legal responsibility, focusing on moral principles such as fairness, accountability, and non-maleficence; the integration of human values including privacy, autonomy, and inclusivity; and the critical role of multidisciplinary collaboration in developing ethical AI practices. Attendees will learn actionable strategies for conducting ethical audits, implementing transparent AI systems, thereby mitigating risk while enhancing client trust and competitive advantage.
Learning Objectives for Attorneys:
• Understand the concept of ethical audits and bias mitigation.
• Learn strategies for implementing transparency and accountability in AI.
• Gain insight into interdisciplinary approaches and current legal frameworks governing AI.
• Review the application of ABA ethical standards in AI deployment.
This program provides a practical roadmap to mastering every stage of the discovery process in civil...
This course on trade secrets litigation provides real-world best practices through all key stages of...
Modern mediation increasingly brings together parties, counsel, and neutrals across a broad range of...
Objections are among the most powerful — and most misunderstood — tools in a trial lawye...
The Aftermath of Scams and Cybercrime: A Practical Guide to Response and Recovery examines the immed...
Every trial lawyer has experienced it: the inner critic before opening statements, the surge of ange...
"Artificial Intelligence and the Practice of Law" (updated through 2026), is a 50-slide primer desig...
The Twelfth Juror: Lessons on Jury Selection from a Trial Lawyer’s Novel and a Trial Consultan...
Lawyers lose hundreds of billable and operational hours every year to poorly managed meetings. Unfoc...
Abrasive or burned out? Overworked or uncivil? Zealous advocate or bully? The legal profession is c...