AI tools are advancing faster than legal organizations can absorb them. This program examines why the main constraints on effective legal AI are increasingly human and organizational, including workflow design, delegation, supervision, incentives, and judgment. Attorneys will learn how to identify legal tasks suited to AI assistance, preserve appropriate human oversight, diagnose the bottlenecks that keep AI from improving speed and quality, and redesign legal workflows so lawyers and AI systems complement one another.
Decentralized Autonomous Organizations (DAOs) and other digital-native structures have moved from ni...
"Artificial Intelligence and the Practice of Law" (updated through 2026), is a 50-slide primer desig...
The Aftermath of Scams and Cybercrime: A Practical Guide to Response and Recovery examines the immed...
This course on trade secrets litigation provides real-world best practices through all key stages of...
Objections are among the most powerful — and most misunderstood — tools in a trial lawye...
Lawyers lose hundreds of billable and operational hours every year to poorly managed meetings. Unfoc...
AI agents — autonomous systems capable of planning, deciding, and acting independently across ...
Perfectionism is often rewarded in the legal profession. It drives attention to detail, thorough pre...
Every trial lawyer has experienced it: the inner critic before opening statements, the surge of ange...
The Twelfth Juror: Lessons on Jury Selection from a Trial Lawyer’s Novel and a Trial Consultan...