xAI Sues OpenAI: Expanding the Trade Secret Battle in the AI Race

Just weeks after filing suit against a former engineer, xAI has escalated the dispute by suing OpenAI directly. In a complaint filed on September 24, 2025 in the Northern District of California, xAI accuses OpenAI of orchestrating a deliberate campaign to misappropriate xAI’s trade secrets, interfere with its economic relationships, and gain an unfair edge in the increasingly high-stakes race to dominate generative AI. You can read the full complaint here.

The Allegations

According to xAI, OpenAI deliberately targeted and recruited key employees — including engineers Xuechen Li and Jimmy Fraiture, and a senior finance executive — to obtain:

• The complete Grok source code, including training and fine-tuning methods.
  
• Infrastructure and inference systems unique to xAI’s production reliability.
  
• Experimental code folders and future R&D directions from xAI’s founders and staff.
  
• Business strategy and roadmap information, including an all-hands video recording of Elon Musk discussing contracts and priorities.
  
• Data center deployment know-how, described internally as xAI’s “secret sauce,” and related supplier contract terms.

xAI claims OpenAI induced these employees to copy or retain such information by offering multimillion-dollar packages and communicating over encrypted channels like Signal to avoid detection.

Legal Framework and Case Law Context

The complaint asserts misappropriation under the Defend Trade Secrets Act (DTSA), alongside interference and unfair competition claims. How the court handles the trade secret allegations will hinge on two recurring doctrinal issues: identification and reasonable measures.

Identification: OpenAI may argue that xAI has not described its alleged trade secrets with sufficient particularity. However, the Ninth Circuit’s recent decision in Quintara Biosciences, Inc. v. Ruifeng Biztech, Inc., 2025 WL 2315671 (9th Cir. Aug. 12, 2025), makes clear that whether trade secrets have been identified with “sufficient particularity” is usually a fact question for summary judgment or trial. In reversing a district court’s dismissal, the Ninth Circuit emphasized that a DTSA trade secret claim “will rarely be dismissible” at the pleading or early discovery stage and that striking trade secrets prematurely was an abuse of discretion. That precedent may give xAI more leeway at this stage to proceed to discovery.

Reasonable measures: Courts require plaintiffs to show they took adequate steps to protect their trade secrets. In FrontRunner HC, Inc. v. Waveland RCM, LLC, No. CV 20-10230-DJC, 2020 WL 7321161, at *11 (D. Mass. Dec. 11, 2020), the court credited measures such as requiring NDAs as evidence of reasonable measures. But other courts have cautioned that confidentiality agreements alone are not enough. For example, in Diamond Power Int’l, Inc. v. Davidson, 540 F. Supp. 2d 1322, 1334 (N.D. Ga. 2007), the court held that requiring all employees to sign generalized confidentiality agreements “is generally not, standing alone, sufficient.” This creates a critical question: were xAI’s termination certifications, NDAs, and technical safeguards enough, or will the court find gaps that undercut its claims?

Why It Matters

By naming OpenAI itself, xAI is not just accusing former employees of disloyalty but alleging that one of the most prominent (if not the most prominent) AI labs is running a coordinated scheme to neutralize a competitor. If the allegations are substantiated, remedies could include injunctions requiring OpenAI to delete models trained with xAI’s stolen code, which would be a potentially industry-shaping outcome.

This case illustrates how trade secret law is becoming the primary battleground for AI competition. At one end, Quintara suggests courts will be reluctant to dismiss claims too early. At the other, cases like Diamond Power underscore that companies must pair agreements with robust technical and procedural safeguards. For AI developers, the lesson is clear: trade secret protection depends on both strong internal practices and the ability to prove them in court.

Sarah Tishler is the author of this article. Sarah is a commercial litigator whose practice focuses on complex business disputes in state and federal courts, including intellectual property, breach of contract, and fraud claims. Her experience also includes regulatory investigations, international arbitration, securities litigation, shareholder litigation, class-action litigation, and pre-transactional advising.