Trust, Legal & Compliance Founders

Arvela is building IPRally so patent searchers can find prior art by meaning, using graphs of how inventions work instead of keyword strings.

Bijapur built SpotDraft so contract work can feel as automated as the rest of modern software for legal and ops teams.

Block built Stilta to give patent litigators agent swarms that search prior art at machine scale while every claim still cites a source.

Brook wants privacy and AI rules written into the systems that handle data, so companies enforce them automatically instead of tracking them in policy documents.

Choudhury turned stalled SOC 2 sales calls into Scrut, a mid-market compliance automation platform that collects evidence across many frameworks at once.

Dambrot saw KPMG’s largest clients deploying AI systems that nobody was securing, and built Cranium to find those systems and protect them.

Galis turned the audit pile he saw at EY into Scytale, so startups can run security compliance as ongoing software instead of a quarterly fire drill.

Kotkas wants proving who you are online to be as reliable as showing a passport at a bank counter, so businesses can trust the person on the other side of the screen.

Kulkarni built HyperStart so mid-market legal teams can get AI contract work without enterprise bloat.

Leduc is building DeepIP so patent attorneys can draft applications and answer office actions with AI inside Word, the document they already work in.

Lee is building one AI platform for the whole patent lifecycle, after a decade in venture watching IP attorneys stitch together disconnected tools.

Mabey wants business teams to handle routine contracts themselves, with AI agents following rules the legal team sets, so lawyers can spend their time on judgment.

Mehta wants a small startup to earn the security certifications big customers demand in weeks, without hiring a compliance team first.

Parsonson is building AI tools made for patent attorneys, betting that patent work needs software that understands both the technology and the law.

Raghavan is trying to make mission-critical AI refuse an answer when it cannot prove the rules still hold.

Redekar wants continuous compliance monitoring to replace the once-a-year evidence scramble for growing security teams.

Singh built Credo AI so enterprises can run governable AI — policy, inventory, and risk workflows on purpose.

Wenchel deployed AI for credit and fraud decisions at Capital One with no way to watch it in production, and started Arthur to give companies that view.

Zilberman is building Chamelio so agents handle the routine legal work of in-house teams, from contract review to approvals, while lawyers keep the calls that need judgment.