Engineers are inventing faster than a reactive IP function can capture. A three-part diagnostic to find where the pipeline is leaking (capture, throughput, protection) and the move that closes each leak.
How the first Head of IP at a fast-growing company can run a function well beyond one headcount: map the week, harvest without chasing inventors, use outside counsel deliberately, see and prune the portfolio, and get back to strategy.
A three-dimension framework for deciding which inventions to protect and how far, and how AI lets in-house teams apply it to every disclosure without adding headcount or outside counsel spend.
What a survey of more than one hundred in-house IP leaders reveals about team structure, staffing, and technology, and why the organizations that bring patent work inside treat IP as a driver of growth.
How tech transfer offices can use grant data to find innovation before it is disclosed, bring market feedback into research early, and turn more of it into licensable technology.
Five shifts tech transfer offices can make to keep university breakthroughs reaching the market as corporate licensing demand cools, from upfront commercial diligence to stage-gated patent investment.
Nothing matches those filters yet.
Berkeley's Bo Heiden, LegalBench creator Neel Guha and former EPO Chief Economist Nikolaus Thumm on what the data actually says about AI-drafted patent claims, and what in-house IP teams can take from it.
