Stefan Scheuerer

Doktorand und wissenschaftlicher Mitarbeiter

Immaterialgüter- und Wettbewerbsrecht

+49 89 24246-432


Immaterialgüterrecht; Lauterkeitsrecht; Rechtstheorie; Rechtsfragen der Digitalwirtschaft

Wissenschaftlicher Werdegang

Seit 2018
Doktorand und wissenschaftlicher Mitarbeiter am Max-Planck-Institut für Innovation und Wettbewerb bei Prof. Dr. Reto M. Hilty
Zweite Juristische Staatsprüfung (München)
2016 – 2018
Rechtsreferendariat im Bezirk des OLG München mit Stationen u.a. in der Rechtsabteilung eines großen Medienunternehmens, in einer urheber- und medienrechtlich spezialisierten Boutique-Kanzlei sowie bei der Europäischen Kommission, Generaldirektion Wettbewerb (Task Force Digital Single Market), Brüssel; bis Dezember 2016 parallel wissenschaftliche Mitarbeit am Max-Planck-Institut für Innovation und Wettbewerb
Erste Juristische Prüfung (München)
2013 – 2016
Studentische Hilfskraft am Max-Planck-Institut für Innovation und Wettbewerb bei Prof. Dr. Reto M. Hilty
2013 – 2014
Studentische Hilfskraft in einem Münchner Notariat
2011 – 2016
Studium der Rechtswissenschaften an der Ludwig-Maximilians-Universität München mit Schwerpunktbereich „Wettbewerbsrecht, geistiges Eigentum und Medienrecht“

Persönliche Links


Beiträge in Sammelwerken, Kommentierungen, Handbüchern und Lexika

Intellectual Property Justification for Artificial Intelligence, in: Jyh-An Lee, Reto M. Hilty, Kung-Chung Liu (Hg.), Artificial Intelligence and Intellectual Property, Oxford University Press, Oxford 2021 (gemeinsam mit Reto M. Hilty, Jörg Hoffmann).


The Impact of Fundamental Rights on European Copyright Law - Opinion on the CJEU Decisions C-516/17 "Spiegel Online" and C-469/17 "Funke Medien", GRUR Int 68, 12 (2019), 1153 - 1160 (gemeinsam mit Ansgar Kaiser).

Tagungs- und Diskussionsberichte

Datenzugang, Verbraucherinteressen und Gemeinwohl – Bericht über die Verbraucherrechtstage 2019 des Bundesministeriums der Justiz und für Verbraucherschutz in Berlin, 12. Und 13. Dezember 2019, Journal of Intellectual Property, Information Technology and Electronic Commerce Law 11, 2 (2020), 228 - 240 (gemeinsam mit Jure Globocnik).

  • This report summarizes the conference “Verbraucherrechtstage 2019“ (“Consumer Law Days 2019“), organised by the German Federal Ministry of Justice and Consumer Protection on 12 and 13 December 2019 in Berlin. This year’s topic was data access with a special emphasis on consumer interests and public welfare. Leading legal and economic scholars as well as public servants and politicians came together to engage in fruitful discussions on designing the regulatory framework for data access in the digital economy. The conference was divided into four academic panels covering the wider economic and legal framework for data access, existing data access regimes and potential need for amendments. It additionally featured keynote speeches on current political developments and a concluding, policy-oriented panel discussion. An English language conference volume is expected to be published in the course of 2020.
  • Also published as: Max Planck Institute for Innovation & Competition Discussion Paper, No. 17
  • Event: Verbraucherrechtstage 2019 des Bundesministeriums der Justiz und für Verbraucherschutz, Berlin, 2019-12-12


Artificial Intelligence and Intellectual Property Law - Position Statement of the Max Planck Institute for Innovation and Competition of 9 April 2021 on the Current Debate (Max Planck Institute for Innovation & Competition Research Paper, No. 21-10), 2021, 26 S. (gemeinsam mit Josef Drexl et al.).

  • This Position Statement presents a broad overview of issues arising at the intersection of AI and IP law based on the work of the Max Planck Institute for Innovation and Competition research group on Regulation of the Digital Economy. While the analysis is approached mainly from a perspective de lege lata, it also identifies questions which require further reflection de lege ferenda supported by in-depth interdisciplinary research. The scope is confined to substantive European IP law, in particular, as regards copyright, patents, designs, databases and trade secrets. Specific AI-related issues are mapped out around the core questions of IP law, namely, the eligibility for protection under the respective IP regimes, allocation of rights and the scope of protection. The structure of the analysis reflects three key components of AI: inputs required for the development of AI systems, AI as a process and the output of AI applications. Overall, it is emphasised that, while recent legal and policy discussions have mostly focused on AI-aided and AI-generated output, a more holistic view that accounts for the role of IP law across the AI innovation cycle is indispensable.
  • Available at SSRN

Artificial Intelligence and Unfair Competition – Unveiling an Underestimated Building Block of the AI Regulation Landscape (Max Planck Institute for Innovation & Competition Research Paper, No. 20-21), 2020, 28 S.

  • The article illustrates the underestimated role unfair competition law (UCL) can play as a building block of the regulatory landscape relating to Artificial Intelligence (AI). To this end, it examines to what extent overarching prominent principles of AI regulation such as Fairness, Transparency, Autonomy or Innovation are reflected in paradigms of UCL and on this basis evaluates how the latter can contribute to the realization of the former. In this course, prominent problems raised by AI that are commonly discussed under different legal regimes are reconsidered under a UCL perspective, showing that this perspective may both complement or even substitute traditional regulatory approaches. Finally, the article indicates how AI could inversely give impulses for the doctrinal advancement of UCL as a still ambiguous and insufficiently understood body of law.
  • Available at SSRN

Technical Aspects of Artificial Intelligence: An Understanding from an Intellectual Property Law Perspective (Max Planck Institute for Innovation & Competition Research Paper, No. 19-13), 2019, 15 S. (gemeinsam mit Josef Drexl et al.).

  • The present Q&A paper aims at providing an overview of artificial intelligence with a special focus on machine learning as a currently predominant subfield thereof. Machine learning-based applications have been discussed intensely in legal scholarship, including in the field of intellectual property law, while many technical aspects remain ambiguous and often cause confusion. This text was drafted by the Research Group on the Regulation of the Digital Economy of the Max Planck Institute for Innovation and Competition in the pursuit of understanding the fundamental characteristics of artificial intelligence, and machine learning in particular, that could potentially have an impact on intellectual property law. As a background paper, it provides the technological basis for the Group’s ongoing research relating thereto. The current version summarises insights gained from background literature research, interviews with practitioners and a workshop conducted in June 2019 in which experts in the field of artificial intelligence participated.
  • Available at SSRN


Comments of the Max Planck Institute for Innovation and Competition of 11 February 2020 on the Draft Issues Paper of the World Intellectual Property Organization on Intellectual Property Policy and Artificial Intelligence, 2020, 9 S. (gemeinsam mit Josef Drexl et al.).

Andere Veröffentlichungen, Presseartikel, Interviews

Artificial Intelligence and Unfair Competition – Unveiling an Underestimated Building Block of the AI Regulation Landscape, Oxford Business Law Blog 2021.



"Fairness" als Rechtsprinzip

Ort: Max-Planck-Institut für Innovation und Wettbewerb, München


An Appraisal of Intellectual Property Justification in the Realm of Artificial Intelligence - How AI Reshapes IP Economics and Paradigms

(gemeinsam mit Reto M. Hilty und Jörg Hoffmann)

Ort: Singapore Management University, School of Law, Singapur


Sprache. Recht. Macht.

Ort: Universität Prag, Tschechische Republik


Die kartellrechtliche Kontrolle privater Rechtsetzung

Ort: Heinrich-Heine-Universität Düsseldorf


Regimekollision oder Regimekonvergenz? Marktverhaltensregeln für Künstliche Intelligenz

Ort: Universität Bologna, Italien


Wettbewerbs- und informationsrechtliche Implikationen Künstlicher Intelligenz

Ort: Universität Valencia, Spanien