Winston Weinberg

Co-founder and CEO of Harvey, the legal-AI platform used across major law firms and enterprise legal departments to apply frontier language models to professional legal work.

Weinberg came to the company from practice, not engineering: a securities-litigation associate at O’Melveny with no tech background. In early 2022 his flatmate Gabriel Pereyra — a first-cohort Google Brain researcher, later at Meta — showed him the public GPT-3 API. Testing it on a landlord-tenant pro bono matter and then on 100 California questions harvested from r/legaladvice, Weinberg found three practising attorneys would send 86 of 100 model answers with zero edits. He and Pereyra cold-emailed OpenAI, pitched on the 4th of July, and took OpenAI as Harvey’s first and only investor, going on to build a company valued at roughly 11 billion dollars.

Core positions

Weinberg holds that a short window — the next year or two — will decide which companies define professional-services AI for the following decade, and that winning means tracking every frontier model and mapping it onto one industry to build a ‘legal brain’. He draws a sharp line inside professional work: the work-product (contract review, diligence) commoditises, while the decision and advice at the top — resting on experience and relationships a model cannot easily acquire — grow more valuable. He expects AI to compound slight differences in skill, turning 10x performers into 100x ones and pressuring law’s lockstep promotion.

On building, he favours deciding fast (treating almost everything as a reversible two-way door), ‘stress-maxing’ hard problems early, and spending founder time almost entirely on product, ‘the only thing that scales’. He regrets slow decisions, never wrong ones.

In the wiki

• Winston Weinberg on Harvey, Legal AI, and Building a Category-Defining Company — Harvey’s origin, what AI commoditises in law versus what stays human, and running a company under permanent stress