


In a judgment delivered on 11 November 2025, the Regional Court of Munich (Landgericht München I) found two companies of the American group operating the generative AI models GPT-4 and GPT-4o liable for copyright infringement involving song lyrics.
This ruling is of major significance for the legal framework applicable to generative AI in Europe, addressing both the training of large language models and the generation of text in response to user queries.
The claimant, GEMA, Germany’s collective management organisation for musical works, represented the authors and publishers of nine well-known German songs. It alleged that the defendant entities had:
The case concerned songs such as Atemlos, Männer, Bochum, Junge, Über den Wolken, along with several children’s songs by Rolf Zuckowski, all protected by copyright.
The GPT-4 and GPT-4o models were trained on extensive datasets compiled through automated web crawling.
These datasets contained the full lyrics of the songs, even though the works had not been made freely available online nor licensed for this purpose.
GEMA demonstrated, supported by screenshots, that the models:
This showed that the models could reproduce the claimants’ copyrighted works directly from their internal representations.
The Court examined several foundational questions for copyright law in the context of generative AI:
The Court adopted a clear and pragmatic approach:
Even if the model does not store the lyrics in readable form, the ability to regenerate recognisable excerpts demonstrates the existence of an internal fixation of the work, sufficient to qualify as a reproduction under copyright law.
Whether the data is stored as vectors, weights or other transformed formats is irrelevant:
If the model can reconstruct the work, it necessarily holds a legally relevant copy of it.
The Court rejected the argument that a model only manipulates statistical abstractions unrelated to the original expression.
The Court held that the generation of lyrics by GPT-4 qualifies as:
The defendants were found to exercise sufficient control over the design, training and filtering of the models to be directly responsible.
The defendants invoked two TDM exceptions under the DSM Directive:
Both were rejected:
This is a key part of the judgment:
TDM exceptions cannot be relied upon to justify training commercial AI models on protected works where rights-holders have opted out.
The Court dismissed arguments claiming that reproductions were accidental or the result of unpredictable stochastic processes:
The generation of protected text is a direct consequence of the model’s training.
The operator remains fully liable.
The Court held that accidental distortions did not amount to an intentional infringement of the authors’ moral rights.
Some moral-rights-based claims were therefore dismissed.
The Court imposed a series of significant measures:
This Munich ruling marks a fundamental moment in the legal governance of generative AI in Europe:
This decision is expected to have global repercussions, influencing ongoing and future litigation in the United States, the United Kingdom and beyond, and shaping future negotiations between rights-holders and AI developers.
This analysis concerns a decision rendered under German law. For authoritative interpretation or further advice, readers should consult a lawyer specialising in German copyright law.

