Harvey AI Inc. logo

Legal Engineer - Custom Solutions

Job Overview

Location

San Francisco

Job Type

Full-time

Category

DevOps

Date Posted

June 4, 2026

Full Job Description

đź“‹ Description

  • • Build custom AI agents, playbooks, and prompts tailored to the specific workflows and needs of Harvey’s strategic legal customers.
  • • Scope and design bespoke legal solutions by collaborating directly with senior in-house counsel and law firm partners to map their processes and translate requirements into functional AI tools.
  • • Prototype, test, and iterate on custom solutions within Harvey’s enterprise platform, ensuring alignment with customer objectives and measurable outcomes.
  • • Pilot new Harvey platform features prior to general release, providing real-world feedback to Product and Engineering teams to shape future development.
  • • Communicate customer feedback and market insights to internal teams to identify high-impact enhancements for the broader platform.
  • • Create and document reusable assets, templates, and best practices to accelerate future deployments and improve scalability across customer implementations.
  • • Travel onsite to meet with key stakeholders, conduct workshops, and support the rollout of AI tools within customer organizations.
  • • Partner with Legal Engineering and Go-to-Market teams to drive customer success and contribute to measurable growth metrics.
  • • Gain deep familiarity with Harvey’s platform and solution-building methodology, becoming a trusted expert in deploying AI for legal workflows.
  • • Maintain a customer-centric mindset, prioritizing usability, efficiency, and outcomes in every solution developed.
  • • Act with decisiveness, simplicity, and persistence — adhering to Harvey’s core values of Job’s Not Finished and delivering results even under ambiguity.
  • • Contribute to the transformation of legal services through AI by identifying opportunities to automate complex, high-value legal tasks.
  • • Stay current on emerging AI capabilities and their practical applications in legal practice to continuously improve solution design.
  • • Ensure all custom solutions are secure, compliant, and aligned with client confidentiality standards.
  • • Document implementation processes and outcomes to enable knowledge sharing and institutional learning across the team.
  • • Support the scaling of Harvey’s Custom Solutions offering by refining deployment frameworks and reducing time-to-value for new customers.

🎯 Requirements

  • • JD or equivalent legal qualification
  • • 5+ years of experience as a practicing lawyer at a top-tier firm and/or in-house legal team
  • • Strong communication skills and a track record of partnering with senior stakeholders to drive results
  • • Curiosity about testing various approaches, evaluating deliverable quality, and optimizing for customer outcomes and experience
  • • Interest in driving positive change in the legal industry through AI
  • • Experience using AI tools in legal practice is a plus

🏖️ Benefits

  • • OTE of $210,000–$300,000 with an 80/20 split
  • • Opportunity to travel onsite to meet with senior client stakeholders
  • • Work at a company with 1500+ customers in 60+ countries and strong product-market fit
  • • Access to a world-class investor-backed platform at a critical inflection point

Skills & Technologies

Onsite
$210k-300k

Ready to Apply?

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Harvey AI Inc. logo
Harvey AI Inc.
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About Harvey AI Inc.

Harvey AI Inc. provides a generative artificial-intelligence platform engineered specifically for the legal profession. The software integrates with law-firm workflows to automate contract drafting, review, due-diligence and regulatory research, producing lawyer-quality language grounded in up-to-date statutes and precedents. Harvey combines large language models trained on legal corpora with secure, private-cloud deployment and firm-specific fine-tuning to maintain confidentiality and compliance. Clients range from global law firms to in-house legal departments seeking efficiency gains without compromising accuracy or security. The company was founded in 2022 and is headquartered in San Francisco, California.

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