20 years as a patent attorney in London, New York, and Boston. Now building the platform he spent two decades wishing existed.

What originally drew you to IP/patent work?

My interest started earlier than I realized: I found an old university application where I'd written that I wanted to be an IP lawyer, long before I actually became one. Patent work appealed to me because it combined writing with deep technical understanding. Twenty years later, that combination still drives everything I do.

I trained at Mathys & Squire in London, then moved to the US with my family to join EIP, where I practiced both European and US law. Acting as a translator between the two systems was one of the most formative experiences of my career. In 2024, I made my first move in-house at Perceptive Technologies, a dental robotics startup in Boston: being embedded with engineers changed how I think about what good IP work actually looks like.

How do you see AI changing patent practice?

Everyone talks about speed. I think the more interesting shift is in what you can actually see. Research that used to take days (file wrappers across multiple jurisdictions, continuation strategy across large families) can now happen in minutes. That's not just faster. That's a different quality of decision.

I'm also hopeful that automating the repetitive, high-accuracy work will make the job more enjoyable. More time with inventors, more time on claim strategy. Less time on boilerplate.

What are you most excited to work on at DeepIP?

Building the product itself. In every attorney role I've had, I was supporting innovation from the outside. Here, I get to be directly inside it: to build something that changes how practitioners work. That's what brought me here.