How to Apply to Harvey AI

Key Takeaways

Tailor your resume to explicitly connect your experience to the legal-AI intersection — Harvey's roles demand domain relevance, not just generic tech or legal backgrounds
Format your resume as a clean, single-column PDF and complete every Ashby field to maximize your visibility in Harvey's applicant tracking system
Research Harvey's product deeply before any interview — sign up for demos if available, read case studies about their law firm partnerships, and understand the competitive legal AI landscape (including Casetext, Luminance, and others)
Prepare for cross-functional interview panels by practicing how you explain complex ideas to audiences outside your discipline (e.g., explaining ML concepts to lawyers, or legal nuances to engineers)
For sales roles, build a narrative around enterprise deal complexity in regulated or professional services industries — Harvey's buyers are sophisticated, risk-averse, and relationship-driven
Demonstrate startup readiness by highlighting examples where you operated with autonomy, built processes from scratch, or delivered results in ambiguous environments
Apply to the most specific role that matches your profile — with 215 open positions, a targeted application to one well-matched role outperforms scattershot applications to several

About Harvey AI

Harvey AI is one of the most closely watched startups in the legal technology space, building a generative AI platform purpose-built for lawyers, law firms, and professional services organizations. Co-founded by Winston Weinberg, a former securities lawyer at O'Melveny & Myers, and Gabriel Pereyra, a former AI researcher at DeepMind and Meta, Harvey sits at the rare intersection of elite legal expertise and cutting-edge machine learning. The company has attracted significant venture backing from firms including Sequoia Capital and Google Ventures, signaling strong institutional confidence in its trajectory. Harvey's platform assists legal professionals with research, contract analysis, due diligence, regulatory compliance, and litigation support — tasks that traditionally consume enormous amounts of billable hours. Major global law firms, including A&O Shearman, have adopted the platform, giving Harvey a foothold in an industry historically resistant to technological disruption. With 215 open positions spanning engineering, sales, legal engineering, and operations across San Francisco, Paris, Toronto, and Dallas, Harvey is scaling aggressively to meet surging enterprise demand. Culturally, Harvey blends the intensity of a high-growth startup with the intellectual rigor of both the legal profession and AI research. Employees commonly describe the environment as mission-driven, fast-paced, and deeply collaborative — where engineers sit alongside practicing lawyers to build products that genuinely understand legal reasoning. If you're energized by the idea of transforming a trillion-dollar industry with AI, and you thrive in environments where domain expertise matters as much as technical skill, Harvey offers a uniquely compelling opportunity.

Application Process

Identify Your Best-Fit Role on Harvey's Careers Page
With 215 open roles spanning engineering, sales, legal engineering, data operations, and go-to-market functions, Harvey's careers page requires careful navigation. Filter by location (San Francisco, Paris, Toronto, Dallas) and function to narrow your search. Pay close attention to role titles like 'Legal Engineer' and 'Legal Innovation Partner' — these are hybrid roles unique to Harvey that blend legal domain expertise with product and technical skills.
Submit Your Application Through Ashby
Harvey uses Ashby as its applicant tracking system, which means your application will be parsed by Ashby's structured data extraction engine. Complete every field in the application form thoroughly — Ashby allows recruiters to filter candidates by specific field responses, so incomplete applications are easily deprioritized. Upload a cleanly formatted PDF resume and include a tailored cover note if the form provides space for one.
Recruiter Screen (Phone or Video)
If your profile aligns, expect an initial 20-30 minute conversation with a Harvey recruiter. This screen typically covers your interest in legal AI, your relevant experience (whether technical, legal, or commercial), and logistical details like location and compensation expectations. Demonstrating genuine familiarity with Harvey's product and the legal AI landscape will differentiate you immediately — most candidates at this stage have not done their homework.
Hiring Manager Interview
The hiring manager round digs deeper into your functional expertise and how it maps to Harvey's specific challenges. For engineering roles, expect discussions about system design and working with large language models. For sales roles like Enterprise Account Executive, anticipate questions about navigating complex, multi-stakeholder enterprise deals in regulated industries. For Legal Engineer roles, prepare to discuss how you'd translate legal workflows into product requirements.
Technical or Domain-Specific Assessment
Harvey commonly incorporates a skills-based assessment tailored to the role. Software engineers may face a take-home project or live coding session focused on problems relevant to NLP or AI-powered applications. Legal Engineers might complete a case study analyzing how Harvey's platform could address a specific legal workflow. Sales candidates may prepare a mock pitch or deal strategy presentation targeting a fictitious Am Law 100 firm.
Cross-Functional Panel or Onsite Interviews
Given Harvey's collaborative culture, later-stage interviews often include cross-functional panels. You might meet engineers, legal domain experts, and product managers in the same loop. This reflects Harvey's actual working model — where lawyers and technologists co-build products. Expect behavioral and scenario-based questions that test how you collaborate across disciplines and handle ambiguity in a fast-moving startup environment.
Offer and Reference Checks
Harvey typically conducts reference checks before extending a formal offer. Be prepared to provide 2-3 references who can speak to your relevant expertise — ideally contacts who've seen you operate in high-growth, cross-functional, or technically demanding environments. Offers at Harvey commonly include equity as a meaningful component, reflecting the company's startup stage and growth trajectory.

Resume Tips for Harvey AI

Critical Lead with Legal-AI or Domain-Specific Impact

Harvey operates at the intersection of artificial intelligence and the legal profession. Your resume should immediately signal relevance to this intersection. If you've worked in legal tech, professional services, enterprise AI, NLP, or LLM-powered products, put those experiences front and center. Even tangential experience — like building compliance tools, working at a law firm, or deploying AI in a regulated industry — should be highlighted prominently rather than buried in a generic skills section.

Critical Quantify Enterprise and Revenue-Facing Metrics for Sales Roles

Harvey's go-to-market motion targets major law firms and enterprise clients. If you're applying for roles like Enterprise Account Executive or Enterprise Sales Manager, your resume must feature specific deal metrics: average contract values, sales cycle lengths, number of stakeholders managed, and logos closed. Mentioning experience selling into legal, financial services, or other professional services verticals will resonate strongly — these are Harvey's core buyer personas.

Critical Use Ashby-Compatible Formatting

Ashby's parser handles clean, structured resumes well but can struggle with multi-column layouts, embedded tables, headers/footers containing critical information, and heavily designed templates. Use a single-column format with clear section headings (Experience, Education, Skills). Submit as a PDF to preserve formatting. Avoid placing your name or contact information exclusively in a header — some parsers skip header content entirely.

Mirror Harvey's Language and Terminology

Study Harvey's job descriptions and website copy carefully. They use specific terminology: 'legal workflows,' 'professional services,' 'domain-specific AI,' 'LLM,' 'enterprise deployment,' and 'legal innovation.' Weaving these terms naturally into your resume helps both Ashby's keyword matching and the human reviewer recognize you as someone who speaks Harvey's language. Avoid generic buzzwords like 'results-oriented' or 'team player' — they add no signal.

Highlight Startup Velocity and Ownership

Harvey is scaling rapidly from a startup base. Your resume should demonstrate that you can operate with autonomy, move fast, and wear multiple hats. Instead of listing responsibilities, describe outcomes you drove with limited resources or in ambiguous environments. Phrases like 'built from zero,' 'first hire for,' or 'owned end-to-end' signal the kind of scrappy, high-ownership mindset Harvey values.

Feature Cross-Functional Collaboration Experience

Harvey's product development model pairs engineers with legal domain experts. If your background includes working across disciplines — especially bridging technical and non-technical teams — make this explicit. Describe projects where you translated business or legal requirements into technical specifications, or where you helped technical teams understand domain constraints. This is especially critical for Legal Engineer and Product Specialist roles.

Include Relevant Education and Credentials Strategically

For Legal Engineer roles, a JD or legal background is a genuine differentiator — list it prominently. For engineering roles, degrees in computer science, machine learning, or relevant publications and open-source contributions should appear early. Harvey's team includes alumni from elite institutions and top-tier firms, so don't downplay strong credentials, but always pair them with practical impact. A JD from a top law school matters more when paired with 'advised Fortune 500 clients on M&A due diligence' than standing alone.

ATS System: Ashby

Ashby is a modern, all-in-one recruiting platform favored by high-growth startups like Harvey AI. It combines applicant tracking, scheduling, analytics, and CRM capabilities. Ashby parses resumes to extract structured data — including work history, skills, education, and contact details — enabling recruiters to search, filter, and score candidates efficiently across Harvey's 215+ open positions.

Use a single-column, clean PDF format — Ashby's parser extracts data more reliably from simple layouts without tables, graphics, or multi-column designs
Place your name and contact information in the body of the document, not in headers or footers, as Ashby may skip header content during parsing
Incorporate keywords directly from Harvey's job descriptions — Ashby allows recruiters to search and filter by specific terms like 'LLM,' 'legal workflows,' 'enterprise sales,' or 'NLP'
Complete every field in the Ashby application form, including optional ones — incomplete fields can result in lower visibility when recruiters apply filters
Use standard section headings such as 'Experience,' 'Education,' and 'Skills' so Ashby correctly categorizes your information
Avoid using acronyms without spelling them out at least once — write 'Natural Language Processing (NLP)' so both the full term and abbreviation are searchable
If applying to multiple Harvey roles, tailor each application separately — Ashby tracks submissions per role, and recruiters can see all your applications in one candidate profile

Complete Ashby Resume Guide

Interview Culture

Harvey's interview process reflects its identity as a company built at the intersection of elite legal practice and frontier AI research. Expect a process that is intellectually rigorous, domain-aware, and moves quickly — Harvey is a startup scaling fast, and its hiring cadence reflects that urgency. Interviews typically span 3-5 rounds depending on the role's seniority and function. Early conversations with recruiters assess cultural alignment, motivation, and baseline qualifications. These are followed by deeper dives with hiring managers who evaluate functional expertise — whether that's your ability to architect scalable ML systems, close seven-figure enterprise deals, or translate complex legal concepts into product features. For technical roles like Staff Software Engineer, Frontend, expect live coding or system design sessions focused on problems relevant to Harvey's product — think building responsive interfaces for AI-generated legal analysis, or designing systems that handle real-time LLM output at scale. For sales roles, you'll likely present a go-to-market strategy or walk through a complex deal narrative, with particular emphasis on selling into risk-averse, relationship-driven industries like Big Law. Harvey's Legal Engineer and Legal Innovation Partner roles are distinctive in the market. These interviews blend legal reasoning with product thinking — you might be asked to evaluate a legal workflow, identify automation opportunities, and propose how Harvey's AI could address them. Candidates with JDs or substantive legal experience have a meaningful edge. Culture fit at Harvey means intellectual humility combined with high conviction. Interviewers look for people who can disagree constructively, adapt quickly to new information, and demonstrate genuine passion for the legal AI space — not just AI generally. Showing that you understand why transforming legal work specifically matters (access to justice, democratizing expertise, reducing drudgery for lawyers) signals alignment with Harvey's mission in ways that generic AI enthusiasm does not. Come prepared with thoughtful questions about the product, the competitive landscape, and the specific challenges of deploying AI in regulated, high-stakes professional environments.

What Harvey AI Looks For

Deep domain fluency — whether in AI/ML, legal practice, enterprise sales, or legal technology — that directly maps to Harvey's product and market
Startup ownership mentality: comfort with ambiguity, ability to operate without detailed playbooks, and a track record of building from zero
Cross-functional collaboration skills, especially the ability to bridge technical and non-technical disciplines (a core aspect of how Harvey builds products)
Genuine intellectual curiosity about the legal industry and how AI can transform professional knowledge work — not just surface-level interest in AI trends
Enterprise-grade communication skills: the ability to engage credibly with partners at top-tier law firms, in-house counsel at Fortune 500 companies, and technical leadership
Evidence of thriving in high-velocity environments — rapid iteration, fast feedback loops, and comfort shipping imperfect solutions that improve over time
Global perspective and cultural adaptability, given Harvey's expanding presence in Paris, Toronto, Dallas, and San Francisco

Frequently Asked Questions

How long does Harvey AI's hiring process typically take from application to offer?

Based on common patterns at high-growth startups of Harvey's stage and scale, the process typically takes 2-4 weeks from initial application to offer for most roles. However, this can vary significantly depending on the role's seniority and the number of cross-functional interviews required. Engineering and Legal Engineer roles may involve take-home assessments that extend the timeline by a few days. Harvey is known for moving quickly when they identify strong candidates, so responsiveness on your end — promptly scheduling interviews and completing assessments — can meaningfully accelerate the process.

Do I need a law degree or legal background to work at Harvey AI?

Not for every role, but legal expertise is a genuine differentiator for many positions — particularly Legal Engineer, Legal Innovation Partner, and Product Specialist roles, where a JD or substantive legal experience is often listed as a requirement or strong preference. For engineering, data operations, and sales roles, legal background is typically not required, though demonstrating familiarity with legal workflows, law firm economics, or professional services will set you apart from candidates who treat Harvey as 'just another AI company.' If you lack legal credentials, invest time understanding Harvey's target market before applying.

Should I submit a cover letter when applying to Harvey AI?

If the Ashby application form includes a cover letter field or open text box, use it. Harvey sits in a unique market niche, and a concise, well-crafted cover note is your opportunity to explain why you're specifically drawn to legal AI — not just AI broadly. Focus on what you know about Harvey's product, the problem it solves, and why your specific background makes you unusually well-suited. Keep it to 200-300 words. Avoid generic cover letters that could apply to any tech startup; Harvey's recruiters review hundreds of applications and can spot boilerplate instantly.

What ATS does Harvey AI use, and how should I optimize my resume for it?

Harvey uses Ashby, a modern ATS popular with high-growth startups. Ashby parses your resume to extract structured data and makes it searchable by recruiters using keyword filters. To optimize: use a single-column PDF with standard section headings, avoid placing critical information in headers or footers, spell out acronyms at least once (e.g., 'Natural Language Processing (NLP)'), and mirror keywords from the specific job description. Complete all form fields, including optional ones — Ashby's filtering tools mean that missing data can inadvertently exclude you from candidate searches.

Does Harvey AI offer remote work options?

Harvey has office locations in San Francisco, and based on current job postings, they're actively hiring in Paris, Toronto, and Dallas — suggesting a distributed but office-anchored model. Many of their listed roles specify a city, which typically indicates an expectation of in-person or hybrid work at that location. However, policies can vary by team and role, and startups at Harvey's stage frequently evolve their remote work stance. Check the specific job listing for location requirements and ask about flexibility during the recruiter screen if this is a priority for you.

What experience level does Harvey AI typically hire for?

Harvey hires across a wide experience spectrum. Current openings include senior individual contributor roles like Staff Software Engineer (Frontend), mid-level positions like Mid Market Account Executive, management roles like Enterprise Sales Manager, and specialist positions like Data Operations Analyst. The presence of 'Legal Engineer' and 'Legal Innovation Partner' titles suggests Harvey also values non-traditional career paths — lawyers transitioning into tech, for example. That said, the majority of visible roles skew toward mid-career and senior professionals who can operate independently in a fast-paced startup environment.

How should I prepare for a Harvey AI interview if I come from a non-legal background?

Invest time learning the fundamentals of how large law firms operate: their billable-hour model, the types of work associates do (due diligence, contract review, legal research), and why AI adoption in legal has historically lagged other industries. Read Harvey's blog posts and any published case studies about their law firm partnerships. Understand the competitive landscape — know who Casetext (now part of Thomson Reuters), Luminance, and other legal AI players are. During interviews, frame your experience in terms of Harvey's customer base: enterprise buyers, risk-averse decision-makers, and professionals who demand accuracy above all else.

Can I apply to multiple roles at Harvey AI simultaneously?

Ashby tracks all your applications under a single candidate profile, so Harvey's recruiters will see every role you've applied to. Applying to 2-3 genuinely well-matched roles is reasonable and shows breadth of fit. However, applying to 8-10 unrelated positions signals a lack of focus and can hurt your credibility. Choose roles where your experience provides a clear, defensible match, and tailor your resume and any cover materials to each specific position. If you're genuinely torn between two roles, mention this in your application — it can prompt a recruiter to route you to the best fit.

What makes Harvey AI different from other AI startups I could apply to?

Harvey is building domain-specific AI for one of the world's most complex and high-stakes professions. Unlike horizontal AI platforms that serve many industries generically, Harvey goes deep into legal reasoning, regulation, and professional workflows — requiring a level of domain rigor that most AI companies don't attempt. The founding team's combination of elite legal practice (O'Melveny & Myers) and frontier AI research (DeepMind) is reflected in the company's DNA. For candidates, this means working alongside colleagues who bring extraordinary depth in both law and technology. If you want to work on AI that has to be right — not just impressive — Harvey offers a distinctly challenging and rewarding environment.

Sample Open Positions

Sources

Harvey AI — Company and Careers — Harvey AI
Harvey AI — Official Website and Product Overview — Harvey AI
Ashby — All-in-One Recruiting Platform — Ashby
Harvey AI Glassdoor Reviews and Company Information — Glassdoor