Doe v. GitHub (Copilot)

Doe v. GitHub / OpenAI / Microsoft — Copilot Code Scraping Class Action: NINTH CIRCUIT AFFIRMS DISMISSAL OF THE DMCA § 1202 CLAIM, Holding That the Absence of Copyright Management Information From a NEW Work Does Not By Itself Show Anyone Removed It (Sept. 2026)
N.D. Cal. · Doe 1 v. GitHub, Inc., No. 4:22-cv-06823 (N.D. Cal.)

Status
Blocked / in litigation
Took effect
November 3, 2022
Applies to
GitHub, Inc., Microsoft Corp., OpenAI, Inc.

Anonymous software developers sued GitHub, Microsoft and OpenAI in November 2022, alleging GitHub Copilot trained on their open-source code in violation of open-source licences (which require attribution) and of DMCA § 1202. In September 2026 the U.S. Court of Appeals for the NINTH CIRCUIT REJECTED THE § 1202 THEORY, affirming the district court. Section 1202 prohibits intentionally removing copyright management information — an author's name, a copyright notice — from a copyrighted work. The developers argued that because code generated by the models resembled theirs but came out WITHOUT that information, the information had been unlawfully removed. The Ninth Circuit disagreed, and the holding is narrow but consequential: THE ABSENCE OF COPYRIGHT INFORMATION FROM A NEW WORK DOES NOT, BY ITSELF, MEAN SOMEONE ILLEGALLY REMOVED IT. Removing information from an existing work and creating a new work that never carried it are different acts. This is a LOSS for the plaintiffs and, on EFF's account, a win for programmers and internet users generally, because the opposite rule would have created a new source of liability reaching far past AI — remixes, classroom adaptations, reverse engineering — and would have fallen hardest on independent developers who cannot afford to litigate statutory-damages claims for years and would settle even when their use was lawful. Two things survive. Traditional copyright infringement claims are untouched: a developer can still sue if a model is used to reproduce their code. And the plaintiffs' CONTRACT claims against the AI companies, based on the open-source licence terms, remain live.

Who is protected: Open-source software developers whose code was used to train Copilot

Legal detail

Doe 1 v. GitHub, Inc., No. 4:22-cv-06823 (N.D. Cal., filed Nov. 3, 2022; Judge Jon S. Tigar), appeal decided by the U.S. COURT OF APPEALS FOR THE NINTH CIRCUIT in SEPTEMBER 2026. PROCEDURAL SPINE: the original DMCA § 1202(b) claim was dismissed 2024-07-05 for lack of an identical-copy allegation under the Ninth Circuit's identical-copy rule; surviving claims related to breach of open-source licence terms. THE NINTH CIRCUIT HAS NOW AFFIRMED, REJECTING THE PLAINTIFFS' EXPANDED § 1202 THEORY. HOLDING AS CHARACTERISED BY EFF (which filed a brief in the case): 'the absence of copyright information from a new work does not mean, by itself, that someone illegally removed it' — i.e. § 1202 liability requires removal of CMI FROM AN EXISTING COPYRIGHTED WORK, and is not established by the mere fact that model output lacks CMI that the training data carried. EFF's framing of the provision's purpose: § 1202 'was intended to serve as a backstop for traditional copyrights in the digital age — not to create a new, more expansive right to inhibit otherwise non-infringing uses.' WHY THIS IS INDEXED AS A PROTECTION DESPITE BEING A PLAINTIFF LOSS: the counterfactual liability would have run against USERS AND SMALL CREATORS, not only AI developers. On EFF's account, accepting the Does' theory would have exposed 'artists making remixes based on older works, teachers adapting works for a classroom presentation, engineers reverse engineering code' to costly federal suits, with the risk falling 'especially hard on independent software developers and other small creators' — large companies can litigate for years, whereas 'an independent programmer facing massive statutory damages may simply have to settle, even when their underlying use is completely lawful.' The decision therefore forecloses a statutory-damages lever against lawful reuse. WHAT SURVIVES, EXPRESSLY: (1) TRADITIONAL COPYRIGHT INFRINGEMENT CLAIMS ARE UNAFFECTED — 'They can still bring copyright infringement claims if someone uses a model to reproduce their code'; (2) THE PLAINTIFFS' CONTRACT CLAIMS AGAINST THE AI COMPANIES ARE STILL IN PLAY, i.e. the open-source licence-breach theory continues. RELATIONSHIP TO THE AI TRAINING-DATA LITIGATION GENERALLY: this narrows § 1202 as a route around the fair-use question rather than resolving fair use, which is untouched. LIMITS: the opinion itself was not retrieved, and NO CASE NUMBER, PANEL, DATE OR CITATION FOR THE NINTH CIRCUIT DECISION was obtained — see notes.

Key facts

JurisdictionN.D. Cal.
LevelFederal
CitationDoe 1 v. GitHub, Inc., No. 4:22-cv-06823 (N.D. Cal.)
Topicscopyright and training data · consumer data privacy
Court recordDoe v. GitHub — CourtListener 4:22-cv-06823

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