Attendees

100+

Speakers

25+

Industry : Vendors

80% : 20%

Networking

7+ Hours

The AI Innovation & IP Strategy Europe Summit (formerly the Tech Patent Licensing Summit) brings together leading IP, licensing, and tech professionals to explore how AI and emerging technologies are reshaping intellectual  roperty strategy. 

Over two days, Europe’s top experts will provide practical insights, case studies, and forward-looking analysis to help  companies navigate the evolving AI and IP landscape and uncover new monetization and risk management opportunities.

2026 SPEAKERS

KEY TOPICS

EU AI Act & IP Strategy

  • Implications of AI regulations on licensing and IP management.
  • Aligning portfolios with antitrust and FRAND considerations.
  • Lessons from the first enforcement actions and UPC cases.

SEP Strategy in AI Markets

  • Identifying AI technologies likely to become SEP-relevant.
  • Aligning R&D and product development with SEP considerations.
  • Learning from recent SEP disputes in AI-driven sectors.

Contracting AI & Data Rights

  • Drafting enforceable dataset, model, and derivative rights agreements.
  • Structuring retraining, benchmarking, and continuous-use provisions.
  • Cross-border enforceability and governing law considerations.

Patent Pools & Platform Licensing

  • Deciding when to join or create patent pools.
  • Governance, compliance, and royalty model strategies.
  • Interoperability and economics for contributors and implementers.

AI Model Ownership & Rights

  • Defining IP in model weights, fine-tunes, and prompts.
  • Handling co-development and supplier agreement pitfalls.
  • Structuring sublicenses and downstream usage rights.

Investor-Aligned IP Strategy

  • Preparing AI and tech portfolios for due diligence and valuation.
  • Balancing exclusivity with broad market adoption.
  • Communicating IP risk, AI strategy, and ROI to boards and investors.

IP Enforcement & Litigation Readiness

  • Defending against NPEs and patent trolls in AI & tech.
  • Cross-border dispute management and evidence coordination.
  • Using AI tools for portfolio monitoring and litigation support.

Data & Open-Source IP

  • Protecting datasets through trade secrets and contractual frameworks.
  • Compliance with AI-focused open-source licensing.
  • Navigating GDPR and cross-border data-sharing regulations.

Patentability & Inventorship in AI

  • Managing multi-inventor AI-assisted inventions.
  • Balancing disclosure requirements with trade-secret protection.
  • Drafting enforceable IP strategies for publication and secrecy.

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