First Amendment Other

X.AI LLC v. Bonta

🏛 U.S. Court of Appeals for the Ninth Circuit · 📅 2026-03-17

Issue

In *X.AI LLC v. Bonta*, California Attorney General Rob Bonta argues that the appeal turns on two unsettled legal questions: whether AI developers hold cognizable trade secrets in the training data used to build generative AI models, and what level of First Amendment scrutiny applies to a California statute requiring disclosure of that data. Neither question has established Ninth Circuit precedent, and the answers could determine the constitutional limits of AI-specific transparency regulation more broadly.

What Happened

At the pre-briefing stage of this Ninth Circuit appeal, Appellee Rob Bonta filed an unopposed motion on May 19, 2026, seeking a 30-day extension under Ninth Circuit Rule 31-2.2(b) to file his answering brief in response to X.AI LLC's opening brief. The motion seeks to move the answering brief deadline from June 15 to July 15, 2026. Bonta's office justifies the extension on two grounds: the complexity and novelty of the underlying AI regulation issues, which require substantial research, and the need for multiple rounds of internal supervisory review given the case's statewide significance. This is Appellee's first extension request, and Appellant X.AI had previously received a comparable 30-day extension, making the request symmetric. No merits arguments are made; the motion rests on Rule 31-2.2(b) and a supporting declaration from lead counsel.

Why It Matters

Although the court will almost certainly grant this routine, unopposed request without meaningful scrutiny, the filing carries a signal worth tracking: California's own AG is publicly characterizing the trade secret and First Amendment questions at the heart of this case as novel and lacking established answers. The answering brief due July 15, 2026 will be the first substantive articulation of California's defense of its AI disclosure statute, and the doctrinal framework it advances—particularly on which level of First Amendment scrutiny governs compelled disclosure of AI training data—is likely to influence similar regulatory battles unfolding in other jurisdictions. If the AG's office later argues on the merits that these questions are well-settled in the government's favor, the framing here could surface as an inconsistency.

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