Daniel Lundquist

I analyze where legal frameworks, technical systems, and political incentives interact to create institutional failure modes—and what decision-makers can do about it.

I’m a patent attorney who spent time at the USPTO examining artificial intelligence applications—reading patent claims about machine learning architectures, neural networks, and algorithmic systems. That work gave me a close-up view of how AI capabilities are evolving and where legal and regulatory frameworks struggle to keep pace.

Before law, I served in the U.S. Army as a medical laboratory technician, then completed degrees in computer science and information technology. The technical background helps when separating real capability shifts from marketing noise.

This site hosts independent analysis on AI governance, regulatory risk, and the second- and third-order effects of enforcement actions against technology platforms. I’m particularly interested in how cross-border regulatory pressure reshapes product decisions—and what that means for users, enterprises, and the companies caught in between.

The views here are my own. I try to be explicit about uncertainty, distinguish known facts from reported allegations, and avoid confident predictions where the evidence doesn’t support them.

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