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 trial attorneys with a thorough grounding in the three principal currency repo...
"Artificial Intelligence and the Practice of Law" (updated through 2026), is a 50-slide primer desig...
During this course, you will learn about best practices and strategies for retaining intellectual pr...
This course on trade secrets litigation provides real-world best practices through all key stages of...
Class action litigation presents significant legal and business challenges for employers and corpora...
Perfectionism is often rewarded in the legal profession. It drives attention to detail, thorough pre...
New York City’s new Non-Primary Residence Property Surcharge—commonly known as the pied-...
AI agents — autonomous systems capable of planning, deciding, and acting independently across ...
The Aftermath of Scams and Cybercrime: A Practical Guide to Response and Recovery examines the immed...
Lawyers lose hundreds of billable and operational hours every year to poorly managed meetings. Unfoc...