Built by an M&A lawyer and an engineer who got tired of watching deals run on email chains and static checklists.
Spent four years as an M&A associate at Herbert Smith Freehills, running deal execution from kickoff to close.
Lived the pain DealTracker exists to fix: the closing checklist sprawl, the email-chain handoffs, the late-night hunt for the latest version. Now building the operating system he wished existed.
Engineer with a decade of building distributed systems and AI products at scale.
Owns the platform: agents, infrastructure, security, the parts that have to keep working when a $500M deal hangs on them.
Today, AI is showing up in legal as a copilot for individual lawyers: drafting clauses, reviewing documents, answering research questions. That’s useful. It isn’t how a deal closes.
A deal closes because the checklist gets executed across every party, every document, every signing page, every conditions-precedent box, on a fixed timeline, with nothing missed. That’s the layer DealTracker is building, the operating system that runs the deal end-to-end so transaction lawyers can focus on the legal judgment that clients actually pay for.
Agents run the deal. You run the law.