This analysis—authored by Megan K. Bannigan, Christopher S. Ford, Samuel J. Allaman, and Abigail Liles—breaks down a pivotal February 2025 ruling in Tremblay v. OpenAI, where a U.S. federal court ordered OpenAI to produce its full training dataset for GPT‑4 in a copyright infringement case. The ruling underscores that courts are now treating training data as central to proving direct AI‑related copyright claims, even amidst the tension between discovery obligations and trade‑secret protection. For legal professionals, this marks a significant escalation in e‑discovery strategy: practitioners must now advise AI developers on balancing transparency, litigation readiness, and data security under protective orders. By spotlighting emerging standards for dataset disclosure, the article offers invaluable insight for litigators, in‑house counsel, and compliance teams managing AI‑driven legal risk.