Today, the European Union Intellectual Property Office (EUIPO) published a study exploring challenges faced by EU small- and medium-sized enterprises (SMEs) in obtaining financing by offering intellectual property (IP) as collateral. Set against the backdrop of the EU’s recently launched Savings and Investment Union (SIU) program, the EUIPO’s study identifies several structural barriers preventing SMEs from obtaining IP-backed financing and concludes with a series of policy recommendations designed to address the SME credit gap and unlock tremendous economic value for the wider EU market.
IPWatchdog is happy to announce several leadership promotions to support its continued growth and strategic expansion. Renée C. Quinn has been named President, Katarzyna Kryca has been promoted to Senior Vice President, and Morgan Connell has been promoted to Director of Programs and Strategic Partnerships. Founder Gene Quinn will continue to serve as Chief Executive Officer.
For decades, management scholars and practitioners have grappled with what I call the “knowledge problem” in organizations—the stubborn difficulty of codifying and transferring expertise that resides in individual employees’ heads and habits. The most valuable organizational knowledge has always been tacit: the judgment calls, the contextual adaptations, the intuitive “feel” for how things get done. This knowledge walked out the door every evening and, more problematically, departed permanently when employees moved to competitors.
I have spent most of my professional career talking to patent practitioners about AI. For years, the conversation was about whether AI could be trusted, whether it was ready, and whether it would actually change how patent work gets done. I have watched the profession move from skepticism to curiosity to cautious adoption to – in 2026, for the first time – something that feels like acceptance. Questions that once provoked heated debate at conferences now feel almost trite. Nobody is really questioning whether AI has a place in patent practice anymore. The question that has replaced it is harder and more consequential:
If 2025 was the year every IP practice rushed to adopt AI, 2026 is the year the bill comes due — and a striking number of organizations are discovering they have no reliable way to read it. That was the organizing message from IPWatchdog LIVE 2026’s session: The Business Impact of AI in Practice: Calculating ROI in the AI Era.
The strength of many of today’s most valuable companies is based significantly on intangible assets, like trademarks, patents, trade secrets and brand reputation. Hard-assets or “tangibles,” like real estate and equipment, are a relative blip on many large businesses value radar. What is surprising is the extent to which these companies are dominated by intangible assets and what that means for how they are understood and financed.
A panel on day three of IPWatchdog LIVE 2026 offered the IP community a candid look at how large operating companies actually evaluate and respond to patent assertions. The answers carry direct implications for every practitioner advising clients on the sell side of a transaction. The session, titled The Big Tech View on Patents and the Patent Market, featured Russell Binns (Allied Security Trust (AST)), Ola Adekunle (Google), Caroline Pinkston (Hewlett Packard Enterprise (HPE)), and Dean Geibel (Samtec).
A panel on day one of IPWatchdog LIVE 2026 didn’t mince words: the voluntary patent licensing ecosystem is functionally broken, and the IP community needs to understand why. That was the diagnostic consensus from the panel titled Patent Dealmaking, Monetization & Licensing: An Examination of Capital, Risk, and Deal Flow, moderated by Brian O’Shaughnessy (Dinsmore & Shohl) and featuring Michael Gulliford (Soryn IP Capital), Louis Carbonneau (Tangible IP), and Dan Kesack (WTW Insurance).
As artificial intelligence adoption accelerates across both commercial and government sectors, traditional contracting frameworks are being stretched beyond their limits. That tension was the focus of a panel at IPWatchdog Live 2026 today, featuring Judge Ryan T. Holte of the U.S. Court of Federal Claims; Stephanie Curcio, co-founder and CEO of NLPatent; and TJ Whittle, Legal Counsel at Anduril Industries.
As discussed in my prior article, the growing adoption and sophistication of assistive AI tools for patent prosecution are paving the way for material business and career impacts, such as decreased prosecution revenue and reduced staffing over the long term. Despite these potential risks, practitioners and enterprises may experience widely differing outcomes due to their client mix, expertise, and capacity to navigate shifting winds to advantage.
The U.S. Chamber of Commerce’s Global Innovation Policy Center (GIPC) today released its 2026 International IP Index, which flagged concerning trends about the “growing erosion of IP leadership” among the world’s high-performing economies, according to the report’s authors. In particular, the report noted that scores in eight EU Member States have declined this year, although the top ten rankings remained the same from 2025. The United States was again number one, with a relatively stable score of 95.15% compared with last year’s 95.17%.
Lawyers for Civil Justice (LCJ) and the U.S. Chamber of Commerce Institute for Legal Reform (ILR) on March 10 submitted a rules suggestion to the Advisory Committee on Civil Rules and its Third-Party Litigation Funding (TPLF) Subcommittee, proposing an amendment to Federal Rule of Civil Procedure (FRCP) 26(a)(1)(A) to require mandatory disclosure of TPLF in federal civil litigation.
I keep hearing the same thing from patent professionals across the industry—inside companies, inside law firms, and even from investors. Patent budgets are shrinking, expectations are rising, and nobody seems willing to admit what that combination actually means.
From a trickle just a few years ago, AI use in the patent profession has become a rushing torrent. AI tools, features, and applications are now an integral and sometimes invisible part of patent practice. From invention harvesting and prior art searching to drafting, filing, opinion work, litigation, and licensing, the savvy patent practitioner almost certainly has AI embedded somewhere in their workflow.
For founders, naming a brand after oneself can feel like the most natural—and powerful—choice. A personal name signifies authenticity, craftsmanship, and accountability. Consumers feel they are not just buying a product, but a person’s vision, values, and reputation. In the apparel, beauty, and skincare space in particular, a founder’s identity often is the brand. That alignment can drive early momentum and deep consumer loyalty. But the same naming strategy that builds value at launch can create significant legal and business complications at scale—especially at exit.