How to Apply to Harvey AI — Application Guide

Key Takeaways

Harvey AI combines world-class AI research with deep legal expertise, creating a uniquely compelling opportunity for candidates who want to work at the intersection of technology and law
The company uses Ashby for recruiting — ensure your resume is cleanly formatted with standard sections for optimal parsing
With 195+ open positions across engineering, legal innovation, sales, and operations, Harvey is actively scaling and offers diverse career paths
Interview processes are rigorous but structured, emphasizing practical problem-solving and domain understanding over abstract puzzles
Harvey values intellectual curiosity and honesty above polished presentations — be genuine about what you know and what you want to learn
Tailor your resume to highlight AI/ML experience, legal domain knowledge, or enterprise customer work to stand out among applicants

About Harvey AI

Harvey AI is redefining the legal industry through artificial intelligence, building sophisticated AI tools that empower lawyers, law firms, and legal departments to work with unprecedented efficiency and precision. Founded by Winston Weinberg, a former attorney at O'Melveny & Myers with degrees from Harvard and Cambridge, and Gabriel Pereyra, a machine learning researcher with experience at DeepMind and Google Brain, Harvey represents a rare fusion of deep legal domain expertise and cutting-edge AI research. The company has raised over $500 million in funding and is valued at more than $3 billion, reflecting the massive market opportunity at the intersection of AI and legal services. Headquartered in San Francisco with offices in New York City and London, Harvey employs approximately 400 people and continues to grow rapidly. The company's AI platform assists legal professionals with research, contract analysis, due diligence, litigation support, and regulatory compliance. Harvey's technology is trained on legal-specific datasets and fine-tuned to understand the nuances of legal language, precedent, and reasoning that general-purpose AI models often miss. With approximately 195+ open positions, Harvey is actively building teams across engineering, legal innovation, enterprise sales, and operations. The company serves some of the world's largest law firms and corporate legal departments, including several AmLaw 100 firms. Harvey's mission centers on augmenting legal professionals rather than replacing them, creating AI tools that handle the most time-consuming aspects of legal work while freeing attorneys to focus on strategic counsel and client relationships.

Application Process

1
Explore Open Roles on Harvey's Career Page
Visit harvey.ai/careers to browse Harvey's current openings. The company organizes roles by department including Engineering, Legal Innovation, Enterprise Sales, Operations, and Design. Each listing includes detailed descriptions of the role, required qualifications, and information about the team you would join. Pay close attention to whether a role is based in San Francisco, New York, or London, as Harvey maintains offices in all three cities.
2
Submit Your Application Through Ashby
Harvey uses Ashby as its applicant tracking system. Click 'Apply' on any role to access the application form. You will need to provide your resume, contact information, and answers to role-specific screening questions. Some positions, particularly engineering roles, may ask for links to your GitHub profile, personal projects, or published research. Legal Innovation roles may request writing samples or examples of legal analysis.
3
Initial Recruiter Screen
If your application passes initial review, a recruiter will schedule a 30-minute introductory call. This conversation covers your background, interest in Harvey specifically, understanding of the legal AI space, and logistical details like compensation expectations and start date availability. Harvey recruiters are known for being transparent about the process and timeline from the start.
4
Technical or Functional Assessment
The assessment stage varies by department. Engineering candidates typically complete a take-home coding challenge or live coding session focused on building systems relevant to Harvey's platform. Legal Innovation candidates may work through a legal reasoning exercise that demonstrates their ability to bridge law and technology. Sales candidates often present a mock pitch or territory plan. These assessments are designed to reflect actual work you would do at Harvey.
5
Team Interview Round
Candidates who pass the assessment advance to a comprehensive interview round, usually consisting of 4-5 sessions over a half-day. You will meet with potential teammates, cross-functional partners, and a hiring manager. Interviews blend technical depth with behavioral questions. Harvey places significant weight on intellectual curiosity, the ability to explain complex concepts clearly, and genuine interest in transforming the legal industry.
6
Founder or Leadership Interview
For many roles, especially senior positions, the final interview involves a conversation with one of Harvey's founders or a senior leader. This session focuses on alignment with Harvey's mission, your vision for the role, and how you think about the broader opportunity in legal AI. Winston Weinberg and Gabriel Pereyra are deeply involved in hiring and look for candidates who combine technical excellence with genuine passion for the legal domain.
7
Offer and Onboarding
Harvey extends offers that include competitive base salary, equity, and comprehensive benefits. The company moves quickly once a hiring decision is made, typically extending offers within days of final interviews. Onboarding includes an immersive introduction to Harvey's technology, the legal AI landscape, and the specific workflows of your team. New hires often shadow legal professionals to build domain empathy.

Resume Tips for Harvey AI

critical

Demonstrate Legal Domain Knowledge or Willingness to Learn

Harvey values candidates who understand or are eager to learn the legal industry. If you have legal experience, highlight it prominently. If you come from a technical background, reference any exposure to regulated industries, compliance work, or domain-specific AI applications. Even mentioning your interest in legal technology in your summary statement signals alignment with Harvey's mission.

critical

Quantify Impact on AI or ML Systems

For technical roles, Harvey wants to see measurable results from your AI work. Include metrics such as model accuracy improvements, latency reductions, processing throughput gains, or cost savings from automation. Statements like 'Improved document classification accuracy from 87% to 94% across 50K legal documents' resonate far more than vague descriptions of responsibilities.

critical

Highlight Experience With Enterprise or Regulated Customers

Harvey serves major law firms and Fortune 500 legal departments, which are demanding enterprise customers operating in highly regulated environments. Experience working with enterprise clients, understanding compliance requirements, or building products for regulated industries (healthcare, finance, government) demonstrates readiness for Harvey's customer base.

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Showcase Cross-Functional Collaboration

Harvey's product development requires close collaboration between engineers, legal experts, designers, and sales teams. Highlight specific examples of working across disciplines. Did you partner with domain experts to build features? Did you translate technical capabilities into business value for non-technical stakeholders? Cross-functional fluency is a differentiator at Harvey.

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Emphasize Speed and Startup Intensity

As a fast-growing startup, Harvey values candidates who thrive in high-velocity environments. Reference your experience shipping products quickly, iterating based on feedback, wearing multiple hats, or scaling systems under pressure. Avoid framing your experience in purely large-company terms with lengthy development cycles.

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Keep Formatting Clean and ATS-Compatible

Harvey uses Ashby for applicant tracking. Use a single-column layout with standard section headers (Experience, Education, Skills). Avoid tables, graphics, headers/footers with critical information, or multi-column designs that can confuse parsing. Submit as PDF unless the application specifically requests another format.

nice_to_have

Include Relevant Publications or Open-Source Contributions

Harvey was founded by researchers, and the company values intellectual rigor. If you have published papers, contributed to open-source ML projects, or presented at conferences, include a dedicated section. Even blog posts or technical writing about NLP, LLMs, or AI applications demonstrate the kind of depth Harvey appreciates.

critical

Tailor Your Summary to the Legal AI Mission

Open your resume with a 2-3 sentence summary that explicitly connects your background to Harvey's work. Generic summaries like 'Experienced software engineer seeking new opportunities' waste prime resume real estate. Instead, try something like 'ML engineer with 5 years of NLP experience, passionate about applying AI to transform professional services in regulated industries.'

ATS System: Ashby

Harvey uses Ashby, a modern applicant tracking system designed for high-growth technology companies. Ashby provides a streamlined application experience with structured forms, automated scheduling, and transparent candidate communication. The platform is known for its clean interface and efficient processing of applications.

Ashby parses resumes accurately, but stick to standard formatting with clear section headers for best results
Complete all required fields in the application form — incomplete applications may be automatically filtered
Upload your resume as a PDF to preserve formatting across devices and reviewers
Ashby supports LinkedIn profile imports, but always review the parsed information for accuracy
Role-specific screening questions are reviewed by hiring managers — provide thoughtful, specific answers rather than generic responses
Harvey's Ashby portal sends automated status updates, so check spam folders if you do not hear back within two weeks

Complete Ashby Resume Guide →

Interview Culture

Harvey's interview culture reflects its unique position at the intersection of law and technology.

The company seeks candidates who combine deep technical expertise with intellectual curiosity about the legal domain. Interviews are rigorous but respectful of candidates' time, with clear communication about expectations and timelines throughout the process. Engineering interviews emphasize systems thinking and practical problem-solving over algorithmic puzzles. You might be asked to design a system for processing legal documents at scale, discuss tradeoffs in ML model architecture, or debug a real-world data pipeline issue. Harvey values engineers who think about the end user — in this case, attorneys and legal professionals — and can articulate how technical decisions affect the product experience. For non-engineering roles, interviews focus heavily on domain understanding and business acumen. Legal Innovation Partners are expected to demonstrate deep knowledge of legal workflows and an ability to identify where AI can create the most value. Enterprise Account Executives need to show they can navigate complex sales cycles with sophisticated buyers who are often skeptical of new technology. Culturally, Harvey prizes intellectual honesty and directness. The founders come from environments — elite law and research labs — where rigor and precision matter. Candidates who acknowledge what they do not know and demonstrate how they learn earn more respect than those who overstate their expertise. The company also values diversity of perspective, recognizing that building AI for the legal industry requires input from people with varied professional and personal backgrounds. Harvey conducts all interviews with a structured rubric to minimize bias, and interviewers are trained to evaluate candidates consistently. Feedback is gathered promptly after interviews, and decisions are typically communicated within one week of the final round.

What Harvey AI Looks For

Deep technical excellence combined with genuine curiosity about the legal industry and how AI can transform it
Experience building, deploying, or working with large language models, NLP systems, or AI-powered products in production
Ability to communicate complex technical or legal concepts clearly to diverse audiences
Comfort operating in a fast-paced startup environment with ambiguity, rapid iteration, and evolving priorities
Intellectual rigor and honesty — willingness to engage deeply with problems rather than settling for surface-level solutions
Track record of impact in previous roles, demonstrated through concrete metrics and outcomes rather than titles or tenure
Understanding of enterprise customer needs, particularly in regulated or professional services industries
Collaborative mindset and ability to work effectively across engineering, legal, design, and business teams

Frequently Asked Questions

What is the hiring process like at Harvey AI?

Harvey AI's hiring process typically involves a recruiter screen, a technical or functional assessment tailored to the role, a half-day team interview round with 4-5 sessions, and often a final conversation with a founder or senior leader. The process is structured with scoring rubrics to ensure consistency and fairness. From application to offer, the timeline generally runs 3-5 weeks depending on scheduling and role complexity.

What ATS does Harvey AI use for job applications?

Harvey AI uses Ashby as its applicant tracking system. Ashby is a modern ATS designed for high-growth tech companies that provides a clean application experience with structured forms. To optimize your application, use a single-column resume format with standard section headers, submit as PDF, and complete all screening questions thoughtfully.

Do I need legal experience to work at Harvey AI?

Legal experience is valuable but not required for most roles at Harvey AI. Engineering, design, sales, and operations positions do not require legal backgrounds, though candidates who demonstrate curiosity about the legal industry and willingness to learn the domain have a significant advantage. Legal Innovation Partner and Legal Engineer roles typically do require substantial legal experience or education.

What is the company culture like at Harvey AI?

Harvey AI's culture emphasizes intellectual rigor, curiosity, and directness. The company was founded by a former elite lawyer and a DeepMind researcher, which shapes an environment that values both precision and innovation. Teams operate with startup intensity and high autonomy. The company prioritizes diversity of perspective and encourages candid discussion. Harvey maintains offices in San Francisco, New York, and London, supporting both in-person collaboration and distributed work where appropriate.

What engineering roles are available at Harvey AI?

Harvey AI hires across a range of engineering disciplines including Software Engineering, Machine Learning Engineering, DevEx (Developer Experience), Infrastructure, and Data Engineering. Roles span from individual contributors to senior and staff levels. The engineering team works on challenges including large language model fine-tuning, document processing pipelines, search and retrieval systems, and building the core AI platform that serves major law firms.

What are Harvey AI's offices and work locations?

Harvey AI has offices in San Francisco (headquarters), New York City, and London. Most roles are tied to a specific office location, and the company values in-person collaboration. Remote work policies vary by team and role, so check the specific job listing for location requirements. The San Francisco office houses the largest portion of the engineering and product teams.

What compensation and benefits does Harvey AI offer?

Harvey AI offers competitive compensation packages that include base salary, meaningful equity grants, and comprehensive benefits. As a well-funded startup valued at over $3 billion, Harvey can offer equity with significant upside potential. Benefits typically include health, dental, and vision insurance, 401(k), generous PTO, and learning and development stipends. Specific compensation details are discussed during the recruiter screen.

How can I make my application stand out at Harvey AI?

To stand out at Harvey AI, tailor your resume summary to reference the legal AI space specifically. Quantify your impact in previous roles with concrete metrics. Include any experience with LLMs, NLP, or domain-specific AI applications. Complete all screening questions with thoughtful, specific answers rather than generic responses. If you have relevant publications, open-source contributions, or legal industry experience, make these prominent. Demonstrating genuine understanding of Harvey's mission to transform legal work with AI is the strongest differentiator.

What is Harvey AI's product and who are its customers?

Harvey AI builds an AI platform specifically designed for legal professionals. The product assists with legal research, contract analysis, due diligence, litigation support, and regulatory compliance. Harvey's customers include some of the world's largest law firms, including AmLaw 100 firms, as well as corporate legal departments at Fortune 500 companies. The platform is trained on legal-specific data and fine-tuned to understand legal language, precedent, and reasoning at a level general-purpose AI tools cannot match.

Open Positions

Harvey AI currently has 195 open positions.

Check Your Resume Before Applying → View 195 open positions at Harvey AI

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