Propiedad intelectual Formación en PI Respeto por la PI Divulgación de la PI La PI para... La PI y… La PI en… Información sobre patentes y tecnología Información sobre marcas Información sobre los diseños Información sobre las indicaciones geográficas Información sobre las variedades vegetales (UPOV) Leyes, tratados y sentencias de PI Recursos de PI Informes sobre PI Protección por patente Protección de las marcas Protección de los diseños Protección de las indicaciones geográficas Protección de las variedades vegetales (UPOV) Solución de controversias en materia de PI Soluciones operativas para las oficinas de PI Pagar por servicios de PI Negociación y toma de decisiones Cooperación en materia de PI Apoyo a la innovación Colaboraciones público-privadas La Organización La OMPI y la inteligencia artificial Trabajar en la OMPI Rendición de cuentas Patentes Marcas Diseños Indicaciones geográficas Derecho de autor Secretos comerciales Futuro de la PI Academia de la OMPI Talleres y seminarios Observancia de la PI WIPO ALERT Sensibilizar Día Mundial de la PI Revista de la OMPI Casos prácticos y casos de éxito Novedades sobre la PI Premios de la OMPI Empresas Mujeres Universidades Pueblos indígenas Judicatura Juventud Examinadores Ecosistemas de innovación Economía Financiación Activos intangibles Salud mundial Cambio climático Política de competencia Objetivos de Desarrollo Sostenible Recursos genéticos, conocimientos tradicionales y expresiones culturales tradicionales Tecnologías de vanguardia Aplicaciones móviles Deportes Turismo Música Moda PATENTSCOPE Análisis de patentes Clasificación Internacional de Patentes ARDI - Investigación para la innovación ASPI - Información especializada sobre patentes Base Mundial de Datos sobre Marcas Madrid Monitor Base de datos Artículo 6ter Express Clasificación de Niza Clasificación de Viena Base Mundial de Datos sobre Dibujos y Modelos Boletín de Dibujos y Modelos Internacionales Base de datos Hague Express Clasificación de Locarno Base de datos Lisbon Express Base Mundial de Datos sobre Marcas para indicaciones geográficas Base de datos de variedades vegetales PLUTO Base de datos GENIE Tratados administrados por la OMPI WIPO Lex: leyes, tratados y sentencias de PI Normas técnicas de la OMPI Estadísticas de PI WIPO Pearl (terminología) Publicaciones de la OMPI Perfiles nacionales sobre PI Centro de Conocimiento de la OMPI Aspectos destacados de la inversión mundial en activos intangibles Informes de la OMPI sobre tendencias tecnológicas Índice Mundial de Innovación Informe mundial sobre la propiedad intelectual PCT - El sistema internacional de patentes ePCT Budapest - El Sistema internacional de depósito de microorganismos Madrid - El sistema internacional de marcas eMadrid Artículo 6ter (escudos de armas, banderas, emblemas de Estado) La Haya - Sistema internacional de diseños eHague Lisboa - Sistema internacional de indicaciones geográficas eLisbon UPOV PRISMA Mediación Arbitraje Determinación de expertos Disputas sobre nombres de dominio Acceso centralizado a la búsqueda y el examen (CASE) Servicio de acceso digital (DAS) WIPO Pay WIPO Wallet Asambleas de la OMPI Comités permanentes Calendario de reuniones WIPO Webcast Documentos oficiales de la OMPI Agenda para el Desarrollo Iniciativas y proyectos a medida Foros y diálogos de colaboración Programa de Aceleración de la Innovación, la Creatividad y el Desarrollo Historias sobre el impacto de la PI Estrategias nacionales de PI e innovación Centro de cooperación Centros de apoyo a la tecnología y la innovación (CATI) Transferencia de tecnología Programa de Asistencia a los Inventores (PAI) Comercialización de la PI WIPO GREEN PAT-INFORMED de la OMPI Consorcio de Libros Accesibles Consorcio de la OMPI para los Creadores Estados miembros Observadores Director general Actividades por unidad Oficinas en el exterior Foro Mundial sobre PI e IA Plataforma de Diálogo sobre Infraestructura de IA Herramientas y servicios de IA Puestos de plantilla Puestos de personal afiliado Adquisiciones Resultados y presupuesto Información financiera Supervisión
Arabic English Spanish French Russian Chinese
Leyes Tratados Sentencias Consultar por jurisdicción

Estados Unidos de América

US161-j

Atrás

2026 WIPO IP Judges Forum Informal Case Summary – United States District Court for the Northern District of California [2025]: Bartz v Anthropic PBC, 787 F.Supp.3d 1007

This is an informal case summary prepared for the purposes of facilitating exchange during the 2026 WIPO IP Judges Forum.

 

Session 3: Copyright and AI Model Training

 

United States District Court for the Northern District of California [2025]: Bartz v Anthropic PBC, 787 F.Supp.3d 1007 

 

Date of judgment: June 23, 2025

Issuing authority: United States District Court for the Northern District of California

Level of the issuing authority: First Instance

Type of procedure: Judicial (Civil)

Subject matter: Copyright and Related Rights (Neighboring Rights)

Plaintiff/Appellant: Andrea Bartz; Charles Graeber; Kirk Wallace Johnson; Affiliated corporate entities

Defendant/Respondent: Anthropic PBC

Keywords: Artificial intelligence (AI); Fair use; Transformative use; Large-language-model training; Pirated copies; Destructive scanning; Format shifting; Intermediate copying; Digital libraries

 

Basic facts: Anthropic is an artificial-intelligence company whose principal product is the Claude service, powered by large language models (LLMs). The models were trained on text selected from a central research library assembled by the company. Anthropic sought to create a permanent collection of what it described as “all the books in the world,” retained “forever.”

 

Anthropic acquired books for that library through two principal routes. First, between January 2021 and July 2022, it downloaded more than seven million digital copies of books from pirate sources, including Books3, LibGen, and PiLiMi. The court found that Anthropic knew that those sources supplied unauthorized copies. Some of the pirated books were later used for model training, but others were not; Anthropic retained the library copies regardless of whether a particular work had been selected for training or was expected to be used in future training.

 

Second, in spring 2024, Anthropic began purchasing millions of print books. It removed the bindings, cut the books apart for scanning, created digital copies containing page images and machine-readable text, and discarded the physical originals. Anthropic retained the resulting searchable digital files in its internal research library. These digital files were not distributed, shown, or sold outside the company.

 

From the central library, Anthropic selected collections and subsets of books for particular “data mixes.” These materials were cleaned, tokenized, and processed to train successive LLMs. For purposes of the motion, the court assumed the plaintiffs’ allegation that the resulting models retained compressed or “memorized” versions of the works that could, under some circumstances, reproduce them almost verbatim. The plaintiffs did not, however, allege that Anthropic had delivered infringing outputs to the public or that any output supplied to a user was traceable to one of their works.

 

The named authors – Andrea Bartz, Charles Graeber, and Kirk Wallace Johnson – brought a putative copyright class action in August 2024. Before class certification, the court permitted Anthropic to move for summary judgment on the discrete issue of fair use.

 

Held: The court separated Anthropic’s conduct into three relevant uses:

1.    Copying works to train particular LLMs.

2.    Creating and retaining digital library copies by destructively scanning lawfully purchased print books.

3.    Acquiring and indefinitely retaining pirated digital copies in a permanent, general-purpose central library.

 

The court granted summary judgment for Anthropic on the first two categories. It held that the copying used to train LLMs was fair use, including any alleged memorization incident to the training process. It also held that Anthropic’s destructive scanning and internal retention of digital replacements for lawfully purchased print copies was fair use on the facts before it.

 

The court denied Anthropic’s motion for summary judgment regarding the pirated-library copies. It rejected Anthropic’s argument that those copies should be excused as part of, or preparatory to, otherwise fair-use model training. Building and indefinitely retaining a comprehensive library of pirated books for possible present or future use was a distinct use, and the court concluded that it was not fair use.

 

The order did not enter final judgment for the plaintiffs on the pirated-copy claims and did not resolve liability, damages, statutory damages, willfulness, class certification, or other remaining issues. The court directed that the pirated-copy claims proceed to trial on liability and on damages, actual or statutory, including willfulness. The fact that Anthropic later acquired authorized copies of books previously obtained from pirate sources did not retroactively cure the earlier infringement, although it could bear on remedies, including statutory damages and willfulness.

 

Relevant holdings in relation to copyright and AI training: Applying the four statutory factors in section 107 of the Copyright Act, and following Andy Warhol Foundation for the Visual Arts, Inc v Goldsmith, the court accepted the plaintiffs’ insistence that Anthropic’s copying involved distinct uses. The relevant distinction was between copying to build and retain a central library of books and copying selected works or subsets of works to train a particular LLM. The plaintiffs separately challenged the conversion of lawfully acquired print books into replacement digital copies.

 

Training copies

 

For the LLM-training use, the first factor—the purpose and character of the use—strongly favored fair use. The court described the use as “transformative—spectacularly so” and as “quintessentially transformative.” Anthropic used the works to identify and model statistical relationships among textual fragments, enabling the completed model to receive new prompts and generate new responses. The court regarded that function as fundamentally different from the ordinary expressive purpose of the books.

 

The court rejected the proposition that copyright owners may prevent others from using works as material from which to learn or to produce new works. It reasoned that copyright does not give an author control over the ideas, principles, concepts, or methods expressed in a work, and that a rule requiring payment whenever a person recalled a work or drew upon it in new writing would be untenable.

 

The court distinguished Thomson Reuters Enterprise Centre GmbH v Ross Intelligence Inc, emphasizing that the system at issue there was not generative AI and was designed to provide legal research results, including court opinions, in response to legal queries. By contrast, the court treated an AI system trained to generate fresh text as analogous to a person who has learned from books and later produces new writing. It also considered Anthropic’s output filters relevant to the first factor because they supported the absence of allegedly infringing output delivered to users; it analogized that constraint to the snippet restrictions that prevented Google Books from becoming a substitute reading service.

The second factor – the nature of the copyrighted works – favored the authors. The works were expressive books, and Anthropic had selected books precisely for their expressive content. The court regarded this factor as having limited independent weight, principally because it informed the other factors.

 

The third factor—the amount and substantiality of the portion used—favored fair use for training. Complete copying was reasonably necessary to the transformative purpose of using very large bodies of text to train an LLM. “Reasonably necessary” did not mean strictly indispensable, and the court rejected the suggestion that Anthropic had to demonstrate why each individual work, rather than some alternative work, was needed. The court also stressed that the plaintiffs had not alleged that complete copies, or substantial portions, were made available to the public through infringing outputs.

 

On the fourth factor—the effect on the potential market for or value of the copyrighted works—the court assumed for purposes of the motion that LLMs could facilitate a substantial proliferation of competing works and that a market for licensing books as AI-training data might emerge. It nevertheless held that these propositions did not establish cognizable market harm. Copyright protects the market for an author’s expression and against substitution for the author’s work; it does not protect authors from competition created by new works produced by persons or systems that have learned from existing works. The court analogized the claimed harm to the non-actionable effect of teaching schoolchildren to write better. It also held that a prospective licensing market for training uses was not a market that copyright law entitled rightsholders to reserve.

 

Balancing the factors, the court granted Anthropic summary judgment that copying works to train its LLMs was fair use.

 

Purchased and scanned books

 

The court treated the destructive scanning of lawfully purchased print books as a narrower, separate use. It rejected the argument that creation of the library was simply inseparable from model training and instead analyzed the print-to-digital conversion on its own terms.

Anthropic had lawfully purchased the physical books, destroyed the print originals while scanning them, and retained internal searchable digital replacements. The court reasoned that Anthropic was entitled, under the first-sale principle in section 109(a), to retain or dispose of the purchased physical copies. The scanning created a replacement digital copy rather than an additional copy retained alongside the original; no new creative content was added, no derivative work was created, and the digital files were not distributed outside Anthropic.

 

The court held that this form of format shifting was fair use. In particular, it regarded the digital replacement as transformative in the limited sense that it made the acquired books searchable and allowed Anthropic to reduce physical-storage burdens, while leaving the work’s expressive content unchanged and making no copy publicly available. The second factor favored the authors because the books were expressive, but the third factor favored fair use, because complete copying was necessary to make a functional searchable replacement, and the fourth factor was neutral, because the internal replacement files, each of which replaced a print copy Anthropic had purchased, did not displace any sale of the books.

 

 

 

 

Pirated central-library copies

 

The pirated-library copies stood differently. Anthropic had acquired millions of unauthorized digital books to assemble a permanent, general-purpose collection of material that it could retain and draw upon in present or future projects. The court held that this library-building and retention function was a use distinct from the specific use of selected books to train a particular LLM.

 

The court concluded that the pirated library was not transformative. Its purpose was to supply Anthropic with permanent access to complete works that it would otherwise have needed to acquire lawfully. Not every pirated book was used in model training; no general deletion practice removed books that had not been used or would never be used; and the library was maintained as a continuing resource for other or future uses.

 

The court concluded that all four factors weighed against fair use for this category. The first factor weighed against Anthropic because building and retaining a general-purpose library of pirated works was not transformative. The second factor favored the authors because the works were expressive. The third factor weighed against Anthropic because it had taken complete works. The fourth factor weighed against Anthropic because permitting such piracy would impair the ordinary market in which users acquire authorized copies of books.

 

Accordingly, the court denied Anthropic summary judgment on the pirated-library claims. It did not, in that order, enter summary judgment for the plaintiffs or determine damages or other remedies.

                                                                                      

Relevant legislation: United States Code, Title 17 – Copyrights (US455); Constitution of the United States of America (US431)