Reset or rollback: Unpacking the EU’s Digital Omnibus Package
Background
On 19 November 2025, the European Commission presented its much-anticipated Digital “Omnibus” package[1] intended to ease the administrative
GenAI and Copyright in the EU: Looking Ahead
This is the final part of our four-part series on the EUIPO study on GenAI and copyright. Read parts 1, 2, and 3.
The EUIPO study provides detailed insights into the evolving relationship between GenAI and copyright law, highlighting both the complex challenges and emerging solutions in this rapidly developing field. As discussed in the previous parts of this series, the study addresses crucial issues at both the training (input) and deployment (output) stages of GenAI systems.
GenAI Output: Technical Solutions and Challenges
This is the third part of our four-part series on the EUIPO study on GenAI and copyright. Read parts 1, 2, and 4.
This third part of the four-part series offers four key takeaways on GenAI output, highlighting critical issues around retrieval augmented generation (RAG), transparency solutions, copyright retention concerns and emerging technical remedies.
GenAI Inputs: Understanding Training Data and Rights Reservations
This is the second part of our four-part series on the EUIPO study on GenAI and copyright. Read parts 1, 3, and 4.
In this second part of our four-part series exploring the EUIPO study on GenAI and copyright, we set out our key takeaways regarding GenAI inputs, including findings on the evolving interpretation of the legal text and data mining (TDM) rights reservation regime and existing opt-out measures.
Beyond Training Sets: EUIPO Study Insights on GenAI and Copyright
Introduction
This is the first part of four-part series on the EUIPO study on GenAI and copyright. See here for
EU AI Act: Provisions on AI Literacy and Prohibited AI Practices Become Effective – Taking Stock and Looking Ahead
Training AI models on Synthetic Data: No silver bullet for IP infringement risk in the context of training AI systems (Part 4 of 4)
Training AI models on Synthetic Data: No silver bullet for IP infringement risk in the context of training AI systems (Part 3 of 4)
This third part of our four-part series on using synthetic data to train AI models explores the interplay between synthetic data training sets, the EU Copyright Directive and the forthcoming EU AI Act.
Training AI models on Synthetic Data: No silver bullet for IP infringement risk in the context of training AI systems (Part 2 of 4)
This second part of our four-part series on using synthetic data to train AI models explores how the use of synthetic data training sets may mitigate copyright infringement risks under EU law.