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Artificial intelligence is no longer a theoretical issue in litigation. Law firms are developing AI policies, courts have issued guidance on attorney use of generative AI, and litigants are increasingly encountering AI-generated work during discovery. More recently, attention has begun to shift to another question: what happens when expert witnesses incorporate AI into their work?
Companies are investing enormous resources into developing proprietary algorithms, manufacturing processes, engineering designs, training data, source code, and other confidential information that often cannot be protected through patents alone.
The verdict, $4.2m in compensatory damages and $100m in punitive damages, sends a powerful message to the ghost gun industry.
To better understand where AI litigation is headed, we asked members of DOAR's AI Expert Team to share their perspectives on the disputes emerging today, the technical issues likely to shape future cases, and what organizations should be doing to prepare.
Success at the ITC depends not just on the legal merits, but on how effectively parties can organize technical complexity, align expert-driven narratives, and present a clear, disciplined case under significant time pressure. Let’s explore how venue nuances and current industry trends are impacting proceedings seen before the Commission.
The South Carolina Supreme Court's decision to overturn Alex Murdaugh's murder convictions has reignited questions about juror impartiality, outside influence, and the safeguards courts use to ensure a fair trial. DOAR Director Chad Lackey, Ph.D. explains what the reversal means for attorneys, how juror bias is identified and addressed, and why a multi-faceted approach to jury selection remains critical in today's highly connected world.
DOAR supported Empery Asset Management and Brio Capital in a Section 16(b) defense verdict involving Kartoon Studios.
Litigation surrounding autonomous vehicle technology raises a question that courts will increasingly confront as AI becomes more embedded in everyday life: when humans and machines share control, who gets the blame when something goes wrong?