Associate Product Counsel, Harvey
$180-220k
Offers Equity + Bonus
Domain-specific AI for legal and professional services
Open for applications
Domain-specific AI for legal and professional services
501-1000 employees
Open for applications
$180-220k
Offers Equity + Bonus
501-1000 employees
Company mission
To help professionals develop expertise, faster.
Role
Who you are
- A law degree from an accredited law school
- Admitted to practice law and in good standing in at least one jurisdiction and able to practice in California
- 2-3 years of law firm and/or in-house experience
- Demonstrated knowledge of laws and regulations relating to several of: artificial intelligence, intellectual property, privacy, product liability, marketing, and/or consumer protection
- Experience advising clients on AI or technology-related legal matters in a product legal or tech transactions capacity
- Ability to think creatively, function independently and work proactively in ambiguous situations without clear precedents
- Team-focused and collaborative working style and willingness to build expertise to solve new challenges in an evolving practice
- Hyper-responsive and service-oriented attitude
- A love for solving hard problems in a fast-paced environment
What the job involves
- We are looking for a product attorney to join our legal team to help scale our Product Legal function. You will partner closely with our Engineering, Product, and Design teams, as well as other cross-functional stakeholders, to bring Harvey’s product vision to life
- Generative AI has the power to greatly change the world and directly impact how things get done. Harvey is at the forefront of this change, and our mission is to make generative AI actionable and useful for our customers
- This is a fast moving environment (we are a start-up!) that is serving some of the world’s most renowned law firms and professional organizations. And this role will put you in the center of all of this
- Partner cross-functionally to align legal guidance with business goals, including counseling our Product and Engineering teams on key legal issues related to B2B AI systems
- Research and advise on regulatory frameworks to help design and enhance compliant AI-powered products
- Partner with marketing teams to align product communications with legal and regulatory standards to support brand credibility and trust
- Support key initiatives to further develop and mature the legal team’s capabilities and impact
- Build communication styles that resonate with your teams to balance risk-taking with responsible development in a fast-moving environment
- Have a strong sense of ownership, curiosity, and can demonstrate sound judgment in ambiguous situations
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
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 10 rounds)
Mar 2026
$200m
LATE VC
Oct 2025
$59m
GROWTH EQUITY VC
Total funding: $1.2bn
Company HQ
Financial District, San Francisco, CA
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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