Solutions Architect, Harvey

$145-195k

OTE

OTE 80/20 Split. Offers equity and commission

Azure
REST API
Mid and Senior level
New York
Harvey

Domain-specific AI for legal and professional services

Open for applications

Harvey

Domain-specific AI for legal and professional services

501-1000 employees

B2BArtificial IntelligenceLegalSaaS

Open for applications

$145-195k

OTE

OTE 80/20 Split. Offers equity and commission

Azure
REST API
Mid and Senior level
New York

501-1000 employees

B2BArtificial IntelligenceLegalSaaS

Company mission

To help professionals develop expertise, faster.

Company mission

To help professionals develop expertise, faster.

Our take

The explosive popularity of generative AI tools has seen specialized solutions popping up for all kinds of industries. Hoping to help supercharge efficiency and productivity for legal teams, Harvey supplies generative AI that can assist with documentation, as well as aid research and optimize workflows.

Via natural language instructions, Harvey helps draft and analyze legal documents. It can also answer complex questions across large document sets, or even handle research queries that cover multiple domains in legal, regulatory and tax.

Its ability to support legal practitioners as if it's another member of the team is what makes Harvey particularly interesting. This approach has seen the company raise substantial funding, reaching Unicorn status in 2024. Funds are now being used to expand to new geographies, grow headcount and further collect and curate data to train more “domain-specific” AI models.

Kirsty headshot

Kirsty

Company Specialist at Welcome to the Jungle

Funding (last 2 of 9 rounds)

Oct 2025

$160m

LATE VC

Oct 2025

$59m

GROWTH EQUITY VC

Total funding: $1.0bn

This company has top investors

Leadership

Winston Weinberg

(Co-Founder & CEO)

Graduated with a Juris Doctor from the USC Gould School of Law, then spent 1 year as an Associate at O'Melveny & Myers before founding Harvey.

Gabe Pereyra

(Co-Founder & President)

Previously worked as a Research Scientist at Meta and DeepMind. Also spent a year as a Brain Resident at Google.

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