Ignite Legal: What Every Founder Needs to Know About IP Strategy with Dina Blikshteyn | Ep255

What if the biggest risk to your startup isn’t competition—but saying too much, too early?

In a world where founders race to ship, pitch, and publish, Dina Blikshteyn sits on the other side of the chessboard—watching brilliant ideas quietly slip into the public domain before they’re ever protected. It’s not that founders don’t value IP. It’s that they realize its importance… about six months too late.

Dina Blikshteyn is a Partner at Haynes Boone, co-chair of its AI practice, and a rare hybrid: former engineer turned IP strategist. She began her career building high-frequency trading systems on Wall Street before pivoting into law—now advising companies at the bleeding edge of AI, patents, and tech regulation. At Haynes Boone, she works with startups and enterprises alike to navigate one of the most misunderstood battlegrounds in tech today: how to actually own innovation in the age of AI.

In Today's Episode We Discuss:

00:01 Introduction to Dina Blikshteyn and AI + IP background

00:42 Dina’s origin story: engineering, Wall Street, and law

01:47 How technical background shapes IP and AI legal work

02:23 Key challenges in patenting AI and emerging tech

03:03 Why startups delay IP—and the consequences

03:59 Patent basics: filing vs protection timeline

05:04 International patent strategy for startups

06:26 Common founder misconceptions about patentability

07:41 Patent vs trade secrets vs trademarks vs copyright

08:19 Risks of NDAs and IP leakage in startups

09:35 Publishing vs protecting IP in AI research

10:53 Patent surprises and broad claims in emerging tech

12:05 OpenAI, patents, and shifting strategies in AI

14:21 Comparing AI to past platform shifts

15:07 Patent enforcement and proving infringement

17:39 Litigation, settlements, and patent dispute dynamics

19:18 Famous patent cases and startup vs big tech battles

21:41 Lessons for startups from major IP cases

22:45 How AI tools are changing patent workflows

24:24 Are moats dead? Rethinking defensibility in AI

25:19 What AI startups should actually patent

26:25 Patent lifespan vs fast-moving tech cycles

27:54 Open source vs proprietary IP strategies

29:24 Evolution of AI regulation (US vs states vs EU)

31:23 How regulation impacts innovation and startups

34:04 AI governance frameworks (NIST, ISO)

35:04 Future of AI regulation and legal landscape

36:01 AI copyright lawsuits and fair use debate

38:01 Derivative works, copyright, and AI-generated content

40:22 Implications for creators and content economics

41:03 Rapid fire: AI and IP misconceptions

45:14 Closing thoughts and future of AI + law

Sharp takeaways you won’t forget:

“By the time startups realize they need a patent… it’s already too late.”

“You don’t need to patent everything—but you better protect your crown jewels.”