Comment of the European Copyright Society on the Request for Preliminary Ruling in Case C-250/25 (Like Company) external link

Mezei, P., Kretschmer, M., Margoni, T., Peukert, A. & Quintais, J.
IIC, 2026

Abstract

The reference in Like Company v Google (Case C-250/25) is seen as a potential landmark case, giving the EU’s highest court the opportunity to define the scope and conditions of permitted artificial intelligence (AI) training and develop an infringement test for AI outputs. The European Copyright Society (ECS) urges the Court of Justice (sitting as a Grand Chamber) to exercise caution. While the reference stems from a plausible complaint by a press publisher against the provider of an AI powered chatbot reproducing and communicating its editorial content, the implications of this problematic reference could be far-reaching. 1. The reference is factually murky with respect to the technology and services at stake, conflating concepts of “chatbot”, “large language model”, and “search engine”. 2. The reference fails to identify consistently the subject matter at stake, which is the press publishers’ right under Art. 15 of the Copyright in the Digital Single Market Directive (2019/790/EU, hereinafter CDSMD), not authorial works. Specifically, the reference conflates questions relating to the training phase (Questions 2 and 3) with the legal characterisation of the use of press publications by an LLM-based chatbot (Question 4 but also Question 1, referring to the right of communication to the public and the right of reproduction under Directive 2001/29/EC, hereinafter the InfoSoc Directive). If the reference is found admissible, it is suggested that the Court of Justice should address jointly Questions 4 and 1, which relate to the legal characterisation of the use of press publications in the display. Here it is important to correctly understand next-token prediction in large language models, augmented retrieval technology (where the use of data does not generally form part of the learning process) as well as “online use”, defining the scope of the press publishers’ right under Art. 15 of the CDSMD. In the opinion of the ECS, the ambiguous characterisation of a fast-moving technology may result in the failure to realise the societal benefits of AI as a potential general-purpose technology. There are risks that a rash decision will push Europe towards a licensing economy in which AI systems are offered as a service by (non-European) multinationals, without solving issues of equity such as creator consent and distribution of revenues.

Copyright

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Streaming Without Copying: The CJEU Redefines Private Use in Stichting de Thuiskopie (C-496/24) external link

Kluwer Copyright Blog, 2026

Copyright, private use, streaming services

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Between Effectiveness and Fundamental Rights: Sports Piracy and the Privatization of Copyright Enforcement in the EU external link

Quintais, J. & Aznar, M.
2026

Abstract

This article examines the adequacy of EU copyright law in addressing the unauthorized dissemination of live sporting events, with particular focus on the audiovisual exploitation of football. It advances two principal arguments. First, despite the absence of copyright protection for sporting events as such, EU intellectual property law provides a comprehensive framework for the protection of their audiovisual exploitation. Secondly, recent developments in enforcement practices, while enhancing effectiveness, give rise to significant risks, notably in relation to proportionality and the increasing privatization of enforcement.

Copyright, Fundamental rights, piracy

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Op-Ed: “Pelham II and the Notion of Pastiche in EU Copyright Law: Is the Court of Justice Finally Giving Creative Reuse Some Breathing Space?” external link

EU Law Live, 2026

Copyright, pastiche

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EU copyright law roundup – first trimester of 2026 external link

Trapova, A. & Quintais, J.
Kluwer Copyright Blog, 2026

Copyright

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Wege zur KI-Grundvergütung für Kreative – Die Verzahnung individueller und kollektiver Vergütungsmodelle download

Zeitschrift für Urheber- und Medienrecht (ZUM), vol. 30, iss. : 3, pp: 183-189, 2026

Abstract

Zur Sicherstellung einer angemessenen Vergütung für die Nutzung urheberrechtlich geschützter Werke zur Entwicklung von generativen KI-Modellen werden sowohl individuelle Lizenzmodelle als auch kollektive Vergütungslösungen vorgeschlagen. Der folgende Beitrag bespricht den Stand der Diskussion und kontrastiert den aktuellen Trend zu individuellen Lizenzvereinbarungen mit potenziellen Vorzügen kollektiver Ansätze. Eine Beurteilung der verschiedenen Regelungsoptionen im Licht gesellschaftlicher Belange und gesetzgeberischer Zielsetzungen schließt die Diskussion ab.

Artificial intelligence, Copyright

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Copyright, AI, and the Limits of Voluntary Licensing external link

Open Future Blog, 2026

Artificial intelligence, Copyright, Licensing

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The AI Act/Copyright Interface – A Success Formula for Reconciling the Societal Interest in Culturally Diverse AI With Copyright Values? download

In: E. Arezzo (ed.), Navigating the (Legal) Challenges of the Artificial Intelligence Era – Intellectual Property, Competition Law and Corporate Law, Alphen aan den Rijn: Kluwer Law International, 2026, pp: 41-78

AI Act, Copyright

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Comment of the European Copyright Society on the request for preliminary ruling in Case C-250/25 (Like Company) external link

Mezei, P., Kretschmer, M., Margoni, T., Peukert, A. & Quintais, J.
Kluwer Copyright Blog, 2026

Copyright

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Text and Data Mining, Generative AI, and the Copyright Three-Step Test external link

IIC, vol. 57, iss. : 1, pp: 67–107, 2026

Abstract

In the debate on copyright exceptions permitting text and data mining (“TDM”) for the development of generative AI systems, the so-called “three-step test” has become a centre of gravity. The test serves as a universal yardstick for assessing the compatibility of domestic copyright exceptions with international copyright law. However, it is doubtful whether the international three-step test is applicable at all. Arguably, TDM copies fall outside the scope of the international right of reproduction and go beyond the ambit of the test’s operation. Only if national or regional copyright legislation declares the test applicable, the question arises whether copyright exceptions supporting TDM for AI training constitute certain special cases that do not conflict with a work’s normal exploitation and do not unreasonably prejudice legitimate author or rightsholder interests. As the following analysis will show, rules permitting TDM for AI training can satisfy all test criteria. An opt-out opportunity for copyright owners bans the risk of a conflict with a work’s normal exploitation and an unreasonable prejudice from the outset. A clear focus on specific policy goals, such as the objective to support scientific research, adds conceptual contours that dispel concerns about incompliance. In the case of TDM provisions covering commercial AI development, equitable remuneration regimes can be introduced as a counterbalance to avoid an unreasonable prejudice.

Copyright, Generative AI, Text and Data Mining (TDM), three-step test

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