Ted Entertainment v. ByteDance — YouTube Safeguards Support DMCA Claim Over AI Scraping

Case
Ted Entertainment, Inc. and Matt Fisher v. ByteDance Inc.
Court
U.S. District Court for the Northern District of California
Judge
Jacqueline Scott Corley (Joe Biden, 2022)
Date Decided
October 2, 2026
Docket No.
3:25-cv-10933
Topics
DMCA, AI training, web scraping, technological protection measures

Background

Ted Entertainment and video creator Matt Fisher alleged that ByteDance obtained their YouTube videos to train text-to-video artificial-intelligence systems. They claimed ByteDance used datasets pointing to millions of videos and bypassed YouTube controls that restrict automated downloading and bulk extraction.

The complaint identified rolling-cipher signatures, rate limits and IP blocking, short-lived session URLs, CAPTCHA challenges, and proof-of-origin tokens as technological protection measures. The plaintiffs sued under the Digital Millennium Copyright Act’s anti-circumvention provision. ByteDance moved to dismiss for lack of standing and failure to state a statutory claim.

The Court’s Holding

Judge Jacqueline Scott Corley denied the motion. The creators plausibly alleged concrete injury because unauthorized extraction impaired their control over access to their works and allegedly threatened licensing, viewership, and monetization interests. At the pleading stage, those allegations were sufficient for Article III standing.

The court also held that copyright owners may sue under the DMCA even when a platform such as YouTube implements the access controls. The complaint plausibly alleged that the identified measures effectively controlled access to fixed copies of the videos and that ByteDance circumvented them to obtain training material. Whether those measures actually functioned as alleged, and whether ByteDance bypassed them, are factual questions for later stages.

Key Takeaways

  • Creators can invoke DMCA remedies based on platform-operated access controls protecting their works.
  • Technical allegations identifying specific controls and methods of bypass can survive a motion to dismiss.
  • The ruling addresses access and circumvention, not whether AI training itself is copyright fair use.

Why It Matters

AI-data disputes increasingly turn on how material was acquired, not only how it was later used. This ruling allows creators to test a theory that bypassing platform safeguards can create independent DMCA exposure even before a court reaches copying, licensing, or fair-use questions.

Full Opinion

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