Databricks Attorneys Warned Not To Coach IP Suit Witnesses

Databricks Attorneys Warned Not To Coach IP Suit Witnesses

By Editorial Team

A California federal magistrate judge issued a warning to attorneys representing Databricks in a copyright lawsuit involving AI training. The judge cautioned that attorneys cannot discuss deposition testimony with witnesses during breaks, except for privilege reasons. The judge rejected the writers’ claim that defense counsel had improperly coached witnesses.

The lawsuit involves a group of writers suing Databricks over intellectual property rights related to AI training. The judge’s warning underscores the importance of maintaining the integrity of witness testimony and upholding legal standards during the litigation process.

Attorneys from law firms such as Cafferty Clobes, Fenwick & West, Joseph Saveri Law Firm, Lieff Cabraser, Lockridge Grindal, and Susman Godfrey are involved in representing the parties in this case. The companies named in the lawsuit include Cisneros, Databricks Inc., and Mosaic.

The case is being heard in the U.S. District Court for the Northern District of California. The judge’s directive serves as a reminder to legal practitioners to adhere to ethical guidelines and avoid any actions that could compromise the fairness of legal proceedings.

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Databricks Attorneys Warned Not To Coach IP Suit Witnesses

About Shaina Lumish

Corporate Counsel, Renesas Electronics America Inc. | USA

About Shaina Lumish

Sasha Tan is the founder and CEO of Favful, a TripAdvisor-like platform for beauty products. As a serial entrepreneur, she started her first F&B business in Singapore at age 21. She is also well-versed in growing internet businesses as the former founding team member and VP of the online grocery delivery start-up, HappyFresh. Backed by Segnel Ventures, Gobi Partners, and 500 Startups before its official launch, Favful is now present in three countries, works with 20,000 beauty advisors, partners with over 2,000 brands, and covers more than 40,000 products to date.