2022 – 2026
OpenAI Lawsuits
The lawsuits filed against OpenAI over ChatGPT's training, operation, and corporate structure — case captions, courts, filing dates, status, key rulings, and the lay of the docket. NYT v. OpenAI is the precedent-setting fair-use case, now the lead case in a consolidated Southern District of New York multidistrict litigation heading into summary judgment; Authors Guild, the newspaper-publisher coalition, Doe v. GitHub Copilot, Musk v. Altman, and the coordinated California product-liability cases each plead substantially different theories.
Sibling page: ChatGPT Versions — release timeline with the lawsuits surfaced inline where they shaped a release.
Background
The training-data copyright theory
The dominant theory against OpenAI through 2023 – 2026 has been the same one running against every frontier-model lab: training a large language model requires ingesting tens of billions of words, the cleanest sources of high-quality text are copyrighted books and articles, and copying those works into a training corpus — even temporarily — is reproduction within the meaning of the Copyright Act. Plaintiffs argue the training itself is therefore an infringing use; OpenAI responds that training is transformative fair use under Authors Guild v. Google (the Google Books decision) and Sony v. Universal (the Betamax decision).
The theory shows up in NYT v. OpenAI (newspapers), Authors Guild v. OpenAI (book authors), the Daily News / CIR / Intercept / Raw Story publisher coalition (regional and nonprofit news), and Doe v. GitHub Copilot (open-source code, with OpenAI as a co-defendant alongside GitHub and Microsoft). What's distinctive about the OpenAI docket relative to the Anthropic side is volume and venue: more cases, more plaintiff archetypes, and a concentration in the Southern District of New York rather than the Northern District of California.
Since April 3, 2025 that concentration has been formal. The Judicial Panel on Multidistrict Litigation centralized twelve OpenAI copyright actions — the New York news cases, the New York DMCA cases, and the California and New York author class actions — before Judge Sidney Stein in the Southern District of New York as MDL No. 3143, In re: OpenAI, Inc., Copyright Infringement Litigation. The panel's reasoning was that every one of these cases turns on the same voluminous factual record about how the models were trained, and that leaving them scattered risked inconsistent rulings on class certification and dispositive motions. The MDL has since absorbed additional publisher and reference-work plaintiffs, and runs on a single joint case schedule with separate tracks for the News, DMCA, and class cases.
The Alsup ruling and its read-across
On June 23, 2025, Judge William Alsup of the Northern District of California granted partial summary judgment in Bartz v. Anthropic. The opinion split the copyright question along a line that had been theoretical until the ruling landed and is now load-bearing: training versus acquisition. Training a model on lawfully-acquired text is fair use; acquiring pirated copies of those works to build the corpus is not. Bartz settled in August 2025 for $1.5 billion before the piracy-damages trial — the largest copyright settlement in U.S. history — but the fair-use ruling on training stood as precedent.
The OpenAI docket sits in a different posture. It is concentrated in the Second Circuit, not the Ninth, so the Alsup ruling is persuasive rather than binding, and Judge Stein has the first chance to either adopt the Alsup distinction or distinguish it. That chance is now close. Motions to dismiss are behind the multidistrict litigation — Judge Stein resolved the news-side motions in April 2025 and denied the motion against the author class's output theory in October 2025 — and the case is in expert discovery, which closes August 3, 2026. Summary-judgment and Daubert motions are due September 4, 2026 and fully briefed November 6. Class certification is deliberately sequenced behind that ruling: opening class-certification motions are due 21 days after the court decides summary judgment, so the fair-use question gets answered first and the class question is shaped by the answer.
The OpenAI cases also have a complication the Anthropic cases lacked: the output-reproduction evidence is more developed. The Times attached examples to its complaint of GPT-4 reproducing paywalled Times articles in response to crafted prompts; the music-publisher case against Anthropic used a similar output-side theory but with lyrics. Whether the Alsup line (train freely on what you've licensed; piracy is the violation) survives contact with serious output-reproduction evidence is the open question this docket will answer.
The publisher coalition
NYT v. OpenAI was the first major publisher case, but it is not alone. The S.D.N.Y. publisher docket also includes the Daily News coalition of eight regional newspapers (April 2024); the Center for Investigative Reporting (Mother Jones / Reveal) case (June 2024), the first nonprofit-news plaintiff in the docket; and the Intercept and Raw Story / AlterNet cases (February 2024), which lead with a DMCA Section 1202 (copyright-management-information) theory rather than direct infringement.
The two DMCA cases split in the same courthouse. Judge McMahon dismissed the Raw Story Section 1202 claims in November 2024 for lack of Article III standing, holding that no concrete injury had been pleaded from the alleged CMI removal. Judge Rakoff went the other way in The Intercept, declining to dismiss the Section 1202(b)(1) claim and explaining in a February 20, 2025 opinion that the injury from a CMI violation sounds in the same kind of property harm copyright suits have always recognized. Judge Stein then split the difference across the news cases in his April 4, 2025 opinion: the Times's Section 1202(b)(1) claim was dismissed without prejudice, but the equivalent claims by the Daily News coalition and the Center for Investigative Reporting survived against OpenAI.
The Raw Story plaintiffs appealed, and that appeal — Second Circuit No. 25-1756, docketed under the multidistrict caption — is the load-bearing piece for whether DMCA Section 1202 survives as an independent theory against AI training. It was briefed through December 2025 and argued on March 18, 2026. No decision has issued. If the Second Circuit reverses, the DMCA-1202 frame is back on the table for every plaintiff who has it pleaded; if it affirms, the direct-copyright theory is the only viable training-input claim left, and the S.D.N.Y. split resolves against the CMI theory.
The publisher cluster matters separately from the Times case because it tests whether the same training-fair-use analysis travels across publisher size and business model. A ruling that turns on the Times's subscription business and global readership would not obviously help (or hurt) a regional newspaper or a nonprofit news outlet; a ruling that turns on the training process itself would apply uniformly. The cases are informally coordinated for discovery in S.D.N.Y. on that recognition.
Musk v. Altman and the founding-charter question
Musk v. Altman runs on a different track from the copyright cases. There is no infringement claim. The complaint pleads breach of contract on the alleged “founding agreement” that OpenAI would operate as a nonprofit committed to safe, broadly-shared AGI, plus breach of fiduciary duty against the cofounder defendants and (in the federal refiling) civil RICO. The animating allegation is that the for-profit conversion betrayed the founding promise.
Procedurally, the case has been unusually winding. Filed in California state court in February 2024, voluntarily dismissed by Musk in June 2024 on the eve of a demurrer hearing, refiled in the Northern District of California in August 2024 with expanded claims and defendants. Some counts have been dismissed; others survived to trial. Musk's separate motion to preliminarily enjoin the for-profit conversion was denied in February 2025; OpenAI closed the recapitalization on October 28, 2025 without injunctive interference. Trial opened in front of Judge Yvonne Gonzalez Rogers on April 28, 2026 in Oakland, with the judge sitting as fact-finder under an advisory-jury structure.
The charter theory lost. On May 18, 2026 the advisory jury found the tried claims time-barred, and on May 20 the court adopted that verdict as its own Rule 52(a) findings of fact and conclusions of law. What is easy to misread is how much that resolved. It disposed of the claims that were tried — the founding-agreement and fiduciary-duty counts — but no final judgment followed and no appeal has been noticed. Nine counts remain: the Sherman, Clayton, and Cartwright Act claims, the Unfair Practices Act and UCL claims, and a Lanham Act claim. Supplemental briefing on those runs from August 10 to October 26, 2026, OpenAI's counterclaims against Musk are still live, and on July 1, 2026 the court appointed a mediator with a mandate reaching every claim that has not reached final judgment. In other words the case's center of gravity has moved: it started as a fight about what OpenAI promised to be and is now, on the surviving counts, an antitrust case about OpenAI's relationship with Microsoft.
The case matters separately from the copyright docket because it puts the OpenAI corporate-structure question into a federal courtroom directly. The November 2023 board episode, the 2024 leadership exodus, and the 2024 – 2025 for-profit-conversion fight all sit downstream of the same structural question; Musk v. Altman is the case that asks a court to answer it. The competitive backdrop — Musk's xAI is a direct competitor to OpenAI — is part of why the case is closely watched and part of why settlement plausibility is hard to read.
Doe v. GitHub Copilot — the first AI-training case
Doe v. GitHub Copilot was filed in November 2022 — before ChatGPT launched. It was the first major lawsuit specifically targeting generative-AI training, and the early dismissals shaped the pleading map for everything that came after.
The complaint stacked theories: direct copyright infringement, DMCA Section 1202 violations, open-source license breaches (MIT, Apache, GPL, BSD attribution requirements), unfair competition, and unjust enrichment. The court dismissed most of the layered claims early, leaving direct copyright on a narrower factual basis — tied to outputs that reproduce identifiable copyrighted code from named plaintiffs' repositories. The DMCA Section 1202 dismissal (for lack of plausible identicality between trained outputs and source code) is the early ruling that subsequent plaintiffs' counsel quietly trimmed their DMCA-1202 and unjust-enrichment theories in response to.
Why it matters separately from the publisher and book-author cases: Copilot is the test of whether open-source licenses are reachable through training. The answer so far is “not as pleaded.” That answer is structurally important — if AI labs can train on permissively-licensed open-source code without triggering the attribution and copyleft requirements those licenses impose on traditional redistribution, the open-source ecosystem looks different than its drafters intended.
The district case has been effectively parked since late 2024. Judge Tigar certified the Section 1202 identicality holding for interlocutory review, the Ninth Circuit granted permission to appeal on December 19, 2024, and appeal No. 24-7700 was argued and submitted on February 11, 2026. It has been under submission since. That makes two federal circuits holding pieces of the same question at the same time: the Ninth on whether trained outputs must be identical to the source work for a CMI claim to state a violation, the Second on whether a CMI plaintiff has standing to bring one at all. Both are outstanding as of this update, and how they land together will determine whether Section 1202 is a live theory against AI training or a dead letter.
What this docket means for the broader AI bar
OpenAI's docket is the broadest of any AI company's. It runs across every major flavor of AI training-and-operation theory: copyright on training input (NYT, Authors Guild, the publisher coalition, Doe v. Copilot), copyright on training output (NYT's paywall-bypass examples), DMCA Section 1202 on training-time CMI stripping (Intercept, Raw Story), open-source licenses (Doe v. Copilot), corporate-charter contract theories and now antitrust (Musk v. Altman), and product liability for the model's own behavior (the California coordination proceeding). The Anthropic docket reaches a subset of these; the OpenAI docket is the full surface.
The broader effect, as of mid-2026: the copyright half has consolidated rather than scattered. The Southern District of New York multidistrict litigation now holds the news cases, the DMCA cases, and the author class actions on one schedule heading into a summary-judgment round that will produce the first Second Circuit-side answer on training fair use; the Northern District of California retains Doe v. Copilot, whose Section 1202 question is with the Ninth Circuit. Fair-use defenses on properly-acquired training data are stronger after Alsup than before; piracy-sourced corpora are uniquely exposed; output-reproduction theories survived motions to dismiss on both the news and author tracks but have not been tested at trial; the DMCA Section 1202 frame is under submission in two circuits at once. Meanwhile the newest track is not about copyright at all — the coordinated California product-liability cases ask whether a language model can be a defective product, which is the question with the widest reach beyond the labs that train on text. Every other AI lab reads this docket for what survives.
Sources:
In re: OpenAI, Inc., Copyright Infringement Litigation, MDL No. 3143 (S.D.N.Y.) master docket and the JPML transfer order of April 3, 2025;
The New York Times Co. v. Microsoft & OpenAI S.D.N.Y. docket and the April 4, 2025 motion-to-dismiss opinion;
Authors Guild v. OpenAI S.D.N.Y. docket and the October 27, 2025 opinion on the consolidated class complaint;
Daily News, et al. v. OpenAI, CIR v. OpenAI, The Intercept v. OpenAI, Raw Story v. OpenAI S.D.N.Y. dockets and Second Circuit No. 25-1756;
Musk v. Altman et al. N.D. Cal. (refiled) and California Superior Court (original) dockets;
Doe v. GitHub Copilot N.D. Cal. docket and Ninth Circuit No. 24-7700;
the February 3, 2026 coordination order in ChatGPT Product Liability Cases, JCCP No. 5431 (Cal. Super. Ct., San Francisco);
CourtListener (Free Law Project) docket mirrors;
OpenAI news / blog;
contemporaneous reporting in NYT, WSJ, Reuters, Bloomberg, The Information, and NPR.
Court records are public domain; reporter coverage is cited under fair use (linked, not republished). Last updated July 31, 2026.
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