Intellectual Property Law and Copyright Laws

OpenAI's AI model recently claimed to solve part of the Navier-Stokes equations, but the breakthrough sparked a dispute when an NYU professor alleged the company had access to his unpublished research through its own tools. This case raises critical questions about attribution, confidentiality, and intellectual property ownership when AI systems are used in research and development.

Explore the evolving intersection of artificial intelligence and intellectual property law through recent European court decisions, Italian legislative developments, and regulatory frameworks governing AI-generated content, trade secrets, and copyright protection. How are courts and lawmakers adapting traditional IP principles to address the challenges posed by generative AI and digital innovation?

As artificial intelligence transforms ingredient discovery across pharmaceuticals, food, and biotechnology, companies face a critical challenge: when multiple organizations contribute data, AI models, and expertise to create new molecules and insights, who controls the resulting intellectual property? The answer requires rethinking traditional IP frameworks to account for datasets, model improvements, and experimental knowledge that may prove more valuable than the initial products themselves.

An organisation's brand is one of its most valuable assets, yet many fail to protect it adequately through trade mark registration. This comprehensive guide explores how to build and manage an effective trade mark portfolio, from initial clearance searches and strategic filing decisions to ongoing monitoring, enforcement and licensing arrangements that preserve brand value over the long term.

Developing effective crop protection patents in Europe requires navigating complex challenges involving chemistry, biology, regulation and commercial strategy. From establishing inventive step for novel active ingredients to protecting formulations and synergistic combinations, agrochemical innovators must consider multiple layers of patent protection that align with lengthy regulatory timelines and evolving market needs.

FIFA has launched three innovation challenges targeting fan experience enhancement, advanced player wearables for real-time physiological monitoring, and automated substitution board technology. The initiatives reveal the governing body's strategic priorities in modernizing football through technology while maintaining creator IP ownership and establishing structured pathways from prototype to global implementation.

The Turkish Competition Authority (“TCA”) has published the Preliminary Report on the Pharmaceutical Sector Review (the “Report”) in August 2026, following a sector inquiry initiated by the TCA on 8 December 2021. The inquiry was launched to identify structural competition concerns in the pharmaceutical sector and develop solutions capable of strengthening competitive conditions and, ultimately, consumer welfare.

An order for inspection and/or preservation of evidence requires a sufficient likelihood of infringement

OpenAI's AI model recently claimed to solve part of the Navier-Stokes equations, but the breakthrough sparked a dispute when an NYU professor alleged the company had access to his unpublished research through its own tools. This case raises critical questions about attribution, confidentiality, and intellectual property ownership when AI systems are used in research and development.

An organisation's brand is one of its most valuable assets, yet many fail to protect it adequately through trade mark registration. This comprehensive guide explores how to build and manage an effective trade mark portfolio, from initial clearance searches and strategic filing decisions to ongoing monitoring, enforcement and licensing arrangements that preserve brand value over the long term.

ICANN received over 1600 applications for new generic top-level domains (gTLDs) after closing its application window in August 2026. With Reveal Day set for October 7, 2026...

Generative AI tools are making it easier than ever to inadvertently infringe intellectual property rights, from copying album artwork to replicating entire business websites. What legal risks emerge when AI crosses the line into IP infringement, and how should businesses building or deploying AI-generated outputs protect themselves?