About Hebbia

The AI platform for investors and bankers that generates alpha and drives upside.

Founded in 2020 by George Sivulka and backed by Peter Thiel and Andreessen Horowitz, Hebbia powers investment decisions for BlackRock, KKR, Carlyle, Centerview, and 40% of the world’s largest asset managers. Our flagship product, Matrix, delivers industry-leading accuracy, speed, and transparency in AI-driven analysis. It is trusted to help manage over $15 trillion in assets globally.

We deliver the intelligence that gives finance professionals a definitive edge. Our AI uncovers signals no human could see, surfaces hidden opportunities, and accelerates decisions with unmatched speed and conviction. We do not just streamline workflows. We transform how capital is deployed, how risk is managed, and how value is created across markets.

Hebbia is not a tool. Hebbia is the competitive advantage that drives performance, alpha, and market leadership.

Job Description

Legal AI Strategists play a critical role building out our new vertical: you will be responsible for the strategic value creation and deployment of Hebbia for legal uses. In doing so, you will reimagine critical workflows in the legal space, help build a world-class team, and define the future of AI in law.

We’re looking for highly motivated lawyers comfortable in a fast growing and ambiguous environment. Our ideal candidate will be comfortable challenging the status quo and rethinking the way “things have always been done” in the legal space. This person will be the voice of the customer for law – understanding explicit and implicit needs for lawyers across practices to inform product requirements. 

If you love solving tough challenges and building strong relationships in the process, come join Hebbia and change the future of law with AI.

Responsibilities 

• Customer-centricity: Deeply understand various law practices and their most pressing needs for Hebbia – creatively engage the application and support existing users
• Relationship orientation: Own and build relationships with senior counsel and law firm executives; serve as a trusted advisor in AI adoption and risk mitigation
• Structured approach: Synthesize complicated and ambiguous legal use cases into structured applications and processes for users
• Define roadmap: Shape the future of the product – bring the voice of the lawyer to our product and engineering teams and strategically advise on the future of the product
• Grow our team: Help to build the Engagement team – with potential opportunity to manage a dedicated law engagement team in the near future

Who You Are 

• Juris Doctor (JD) degree from an accredited law school
• Minimum of 3 years of professional experience in a legal setting, with a preference for some portion in larger corporate law firm (e.g., M&A, securities, intellectual property, finance)
• Strong grasp on AI and the different applications of AI in the legal space
• Excellent relationship management skills – including with senior-level stakeholders
• Strong ownership mindset – you see problems or white space and make it yours 
• Excitement to own problems and white space: from blue sky ideation to driving in-the-weeds success with individual users
• Innate bias towards action and impact, while working in a nimble and fast-paced environment

Compensation

The OTE compensation range for this role is $90,000 - $230,000. This range may be inclusive of several career levels at Hebbia and will be narrowed during the interview process based on the candidate’s experience and qualifications. Adjustments outside of this range may be considered for candidates whose qualifications significantly differ from those outlined in the job description.

LIfe @ Hebbia

• PTO: Unlimited
• Insurance: Medical + Dental + Vision + 401K + Wellness Benefits
• Eats: Catered lunch daily + Doordash dinner credit
• Parental leave policy: 3 months non-birthing parent, 4 months for birthing parent
• Fertility benefits: $15k lifetime benefit
• New hire equity grant: Competitive equity package with unmatched upside potential

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