Registration and Breakfast

Welcome and Opening Remarks

Opening Keynote and Dialogue: Europe’s Role in Shaping the Future of AI Governance, Innovation, and Intellectual Property

New Frontiers for Brands in the Age of AI: Agentic Brands and AI-Generated Marks
AI is changing both what can function as a brand and how consumers encounter it. This session examines registrability and distinctiveness of sound, motion, multimedia, and AI-generated marks under EUIPO practice, ownership of adaptive brand assets, and trademark use when AI agents recommend and purchase products.

Registrants will learn to:

• Build filing strategies for non-traditional and AI-generated marks
• Evaluate infringement and unfair-competition issues in agent-mediated commerce
• Advise brands on transparency obligations affecting consumer trust

Networking Break

AI-Enabled Brand Abuse: Bad-Faith Filings, Counterfeits, and Digital Enforcement
AI lets bad actors spot unregistered signs, file opportunistic trademark applications at scale, and generate counterfeit listings, cloned packaging, and fake marketplaces. This session examines bad-faith opposition and invalidity grounds under EU and national law, enforcement tools under the Digital Services Act and the EU Customs Enforcement Regulation, and how AI can support detection.

Registrants will learn to:

• Recognize indicators of automated bad-faith filings and select efficient remedies
• Use DSA notice-and-action and trusted-flagger mechanisms effectively
• Preserve admissible digital evidence across borders

Networking Lunch

Human Enough? Authorship, Inventorship, and Ownership of AI-Generated Outputs
When does AI-assisted output remain protectable, and who is the author, designer, or inventor when AI performs the decisive creative or inventive step? This session examines ownership across copyright, patents, and designs, including the EU “author’s own intellectual creation” standard, the DABUS decisions, EPO practice on AI-related inventions, and comparative U.S. and Chinese approaches. A short scenario-based polling segment will test where the audience draws the line.

Registrants will learn to:

• Evaluate whether AI-assisted works, designs, and inventions meet originality and inventorship requirements
• Advise clients on documenting human creative and inventive contributions
• Draft employment, vendor, and platform terms allocating rights in AI-assisted outputs
• Choose between patent and trade secret protection for AI innovations

Recent AI Case Law Across Copyright, Design, and Trademark Law
This session provides a structured review of significant recent AI decisions from the Court of Justice of the European Union, the EU General Court, the EUIPO Boards of Appeal, and national courts across Europe, including the Hamburg and Munich courts in Germany and the High Court of England and Wales. It begins with copyright, in particular copyright authorship, training data, and output infringement, and continues with design protection and trademark use and bad-faith filings, building on the enforcement tools covered in the morning’s AI-Enabled Brand Abuse session. Rather than treating each right in isolation, speakers will identify common themes and tensions. Using audience polling, registrants will apply emerging principles to case scenarios.

Registrants will learn to:

• Summarize key holdings on copyright authorship, training data, and output infringement, and in design and trademark law, shaping AI and IP practice
• Predict how courts may resolve open questions
• Adjust portfolio strategy accordingly

Networking Break

Interactive IP Lab: Launching an AI-Powered Brand
Registrants will advise a fictional European consumer brand launching a new product line backed by an AI-driven campaign. The launch includes a logo and packaging created with generative tools, campaign music and imagery generated “in the style of” a well-known artist, and a customer-facing AI shopping assistant that recommends products and references competitors. Within days of launch, copycat trademark filings and counterfeit listings appear online. Through polling and facilitated discussion, participants will decide on:

• Whether the AI-generated assets can be protected, and who owns them
• Clearing and filing AI-generated marks and designs
• Style-imitation and output-infringement risk
• Trademark use and comparative claims in AI-generated recommendations
• The fastest route to stop the bad-faith filings and counterfeits

Each decision introduces new legal consequences, which speakers will analyze drawing on the day’s sessions.

Registrants will learn to:

• Apply the day’s brand and copyright lessons to a single AI-enabled launch
• Prioritize competing IP risks and choose efficient remedies
• Advise clients on protecting and defending an AI-enabled brand from creation through enforcement

Networking Reception

Breakfast

The EU AI Act in a Fragmented World: Compliance and Private Enforcement
Organizations deploying AI across borders face divergent rules, and EU AI Act non-compliance may also shape private litigation. This session compares the AI Act with approaches in the UK, United States, and China, and analyzes how AI Act duties could support civil claims, injunctions, unfair-competition actions, and claims under the revised Product Liability Directive.

Registrants will learn to:

• Map key areas of regulatory convergence and divergence affecting IP and data practices
• Assess how AI Act duties may influence standards of care and private remedies
• Design a coherent multi-jurisdictional AI governance and litigation-readiness program

Deepfakes, Digital Replicas, and Synthetic Content: Transparency, Provenance, and Trust
AI can now convincingly replicate a person’s voice, face, and likeness, and imitate brand spokespeople, ambassadors, and assets. Labeling, watermarking, and content-provenance tools are emerging as responses. This session examines personality, image, and voice rights and unfair-competition remedies against unauthorized deepfakes and digital replicas across European jurisdictions, consent and licensing of digital likenesses, EU AI Act Article 50 transparency obligations, DSA platform duties, and GDPR implications, and assesses the legal reliability of technical safeguards.

Registrants will learn to:

• Protect personality, voice, and likeness rights, and brand assets, against unauthorized deepfakes and digital replicas
• Structure consent and licensing terms for authorized digital replicas of talent, spokespeople, and brand ambassadors
• Advise on disclosure and labeling compliance
• Evaluate content credentials as evidence in litigation

Allocate responsibility for synthetic content across the AI value chain, from developers to deployers and platforms

Networking Break

Copyright Reform in the EU: An Update in the Wake of AI Advancements
The European Commission is considering targeted changes to the EU copyright framework in response to generative AI. This session provides an update on the Commission’s targeted consultation of September 2026 and the policy options under discussion, including operationalizing rights reservations, transparency and disclosure mechanisms, a possible rebuttable presumption of use, collective licensing, and remuneration models. The panel will assess what these developments mean for the DSM Copyright Directive, in particular the Article 4 text-and-data-mining exception and machine-readable rights reservations, and how they relate to AI Act training-data transparency obligations and recent European training-data decisions. Panelists will weigh reform, judicial interpretation, and licensing solutions.

Registrants will learn to:

• Assess the Commission’s reform options and their likely impact on the DSM Directive
• Advise rights holders on effective opt-out reservations and on enforcement and licensing options
• Assess developers’ compliance with TDM and transparency rules
• Structure licensing arrangements that reduce litigation risk for both sides

Networking Lunch

Keeping Secrets in the AI Era: Protecting Confidential Information, Data, and AI Know-How
AI creates valuable new trade secrets, from prompts and fine-tuning data to models and AI-assisted innovations, while opening new routes for confidential information to leak. This session examines what “reasonable measures” now require under the EU Trade Secrets Directive, the risks when employees share unreleased marks, launch plans, or product designs with AI tools, and vendor terms governing whether your data trains their models. Speakers will also address emerging threats such as model distillation, and the contractual, trade secret, and unfair-competition remedies available when confidential information or AI know-how is taken.

Registrants will learn to:

• Identify AI-related trade secrets and protect them with reasonable measures
• Build internal AI-use policies and vendor terms that keep confidential brand information secure
• Evaluate remedies against misuse, including unauthorized model distillation

Who Bears the Risk? AI Indemnities and IP Liability
AI providers increasingly offer IP indemnities, but their scope and value vary widely. This session reviews current market terms and analyzes exclusions, usage restrictions, claim notice and control, liability caps, warranties, and coverage for training data and outputs.

Registrants will learn to:

• Assess the practical value of an AI provider’s indemnity
• Negotiate stronger risk-allocation terms for customers or providers
• Evaluate residual liability to third-party rights holders after downstream deployment

Sample clause language provided.

Networking Break

AI in IP Practice: Professional Responsibility, Judgment, and the Future of the Profession
AI is reshaping trademark and IP work in law firms, in-house teams, and IP offices. Core professional duties of competence, confidentiality, supervision, candor to tribunals, and fair billing apply wherever lawyers practice, even as bar rules and regulator guidance differ across jurisdictions. This session examines those shared principles, drawing on guidance from legal associations, courts, and IP offices around the world, and lessons from cases involving AI-fabricated citations. Speakers will also consider how AI is changing the training of junior practitioners, and why human judgment remains the foundation of trusted IP advice.

Registrants will learn to:

• Apply core professional duties to generative AI tools across jurisdictions
• Build firm and in-house AI-use policies covering confidentiality, client consent, oversight, and billing
• Evaluate AI-assisted trademark clearance, watching, and examination tools while preserving professional judgment
• Plan for the development of junior practitioners as AI takes on entry-level work

Closing Keynote: AI Developments on the Horizon, Utopia or Dystopia?

Closing Remarks and Conference Adjourns