Full-Time
Applied Legal Researcher
Harvey
1,001-5,000 employees
Custom AI LLMs for elite firms
Compensation Overview
$180k - $220k/yr
New York, NY, USA
In Person
JD
 AI & Machine Learning (1) |
|---|
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- A Juris Doctor degree from a top U.S. law school or an equivalent postgraduate qualification.
- Three to seven years of experience at a U.S. law firm, financial institution, or equivalent professional service provider.
- For New York City applicants, experience working in-house or at a financial institution.
- Ability to deliver high-quality work product on demanding deadlines.
- Ability to communicate effectively with a variety of internal and external stakeholders and translate complex problems between them.
- Ability to define positive outcomes when success criteria are underspecified.
- Deep intellectual curiosity and eagerness to learn across domains.
- Willingness and desire to perform hands-on work such as grading hundreds of answers and breaking down thousands of documents.
- Develop and deliver subject-matter expertise to support AI research.
- Work closely with engineering, product, and design teams to define and develop AI systems.
- Build and improve AI systems through prompt engineering, fine-tuning, and other techniques.
- Build proprietary benchmarks and datasets to evaluate models and model systems.
- Partner directly with clients to understand their workflows, identify pain points, and translate complex business and legal requirements into technical solutions.
Harvey.ai builds custom large language models tailored for elite law firms to tackle complex legal tasks across multiple practice areas and jurisdictions. Its products center on bespoke AI models, including an AI chatbot developed in partnership with Allen & Overy, designed to streamline workflows, reduce manual work, and improve decision-making in legal work. The company earns revenue through upfront customization fees plus ongoing subscription-based maintenance and feature updates, ensuring continuous support and improvements. Harvey.ai differentiates itself by offering highly customized, jurisdiction-spanning LLMs with strong data security and governance, backed by an Security Advisory Board and leading certifications, and by targeting top-tier law firms that require sophisticated AI tools. Its overarching goal is to enhance efficiency and accuracy in legal practice by providing elite, enterprise-grade AI solutions that handle complex challenges across global legal systems.
Company Size
1,001-5,000
Company Stage
Late Stage VC
Total Funding
$1.8B
Headquarters
San Francisco, California
Founded
2022
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Simplify's Take
What believers are saying
- September 2026 funding added $550M for compute, hiring, and proprietary model training.
- Tenet and Horizon Scanning deepen enterprise lock-in across drafting, monitoring, and review.
- Inbursa and Macpherson Kelley deployments show expansion beyond elite US firms into global accounts.
What critics are saying
- OpenAI, Anthropic, and Google can ship legal copilots that compress Harvey's pricing.
- Harvey's $15.5B valuation demands rapid revenue scaling; any slowdown will crush multiples.
- Guardrails AI, Hexus, Lume AI, and Benchmark acquisitions create integration risk through 2027.
What makes Harvey unique
- Harvey reached $400M ARR in September 2026, dominating legal AI workflows.
- Harvey serves 80% of Am Law 100 and five Fortune 10 legal teams.
- Harvey owns multi-step legal agents, Vault search, and Horizon Scanning in one platform.
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Benefits
Relocation Assistance
Growth & Insights and Company News
6 month growth
↓ -5%1 year growth
↓ -6%2 year growth
↓ -1%Harvey is the platform built to meet the standards of the world’s leading professional service firms.
Harvey raises $550 million - company valuation reaches $15.5 billion. LegalTech unicorn Harvey, based in San Francisco, has closed a funding round of $550 million. The company's valuation has risen to an impressive $15.5 billion. Harvey has developed an operating system for legal and corporate advisory services. Its products optimize workflows in areas such as contract analysis, due diligence, compliance, and litigation, boosting efficiency and value creation. Harvey aims to be a global partner for legal teams. The round was led by Diffusion and Lightspeed Venture Partners. It follows the release of Harvey's first post-trained open-weight model as well as the launch of Harvey LAB, the Legal Agent Benchmark. With the capital, the scale-up - founded in 2022 - aims to unlock more opportunities to help legal departments, law firms, and professional services firms build a comprehensive, proprietary knowledge base. Twice a week for free - never miss a story! Existing investors Sequoia, Kleiner Perkins, a16z, Coatue, Conviction, Elad Gil, Evantic, GIC, Goldman Sachs Alternatives, Verified Capital, and WndrCo are also participating in the funding round. New investors Sapphire Ventures and Whale Rock are joining as well. Harvey co-founders Winston Weinberg and Gabe Pereyra commented: "The opportunity for companies to expand their competitive advantage through AI has never been greater. Harvey is meant to be the global partner that lawyers and legal teams turn to for exactly that. To achieve this, we want to build and develop the best team in the space to guide and support our clients through the next wave of AI transformation." Acquisition of security platform Guardrails AI. Global law firms, Fortune 500 companies, and 200,000 lawyers across 2,400 firms worldwide already use Harvey to make faster and smarter decisions. In the DACH region, 129 companies have already adopted the legal AI platform - including leading firms such as Hengeler Müller, Gleiss Lutz, Deutsche Telekom, Bayer, and PwC. Separately from the funding round, Harvey has also announced the acquisition of Guardrails AI, an AI security platform for AI agents. With this fourth acquisition of the year, the startup aims to advance its work on the reliability of agentic AI. Aus Datenschutz-Gründen ist dieser Inhalt ausgeblendet. Die Einbettung von externen Inhalten kann in den Datenschutz-Einstellungen aktiviert werden:
Legal AI start-up Harvey raises $550m at $15.5bn valuation. 9 Sep 2026 Front row, from left: Aatish Nayak, Winston Weinberg, John LaBarre; back row, from left: Katie Burke, Jorge Bestard, John Haddock. Image: Nicky Quamina-Woo The company opened a Dublin office earlier this year with plans to hire 40 people. Legal AI start-up Harvey has raised $550m at a $15.5bn valuation in a round co-led by Diffusion and Lightspeed Venture Partners. The round marks an almost $5bn valuation growth at the start-up, coming less than six months after it announced a $200m raise at an $11bn valuation. Other investors, including Sequoia, Kleiner Perkins, a16z, Coatue, Conviction, Elad Gil, Evantic, GIC, Goldman Sachs Alternatives, Verified Capital, Sapphire Ventures, Whale Rock and WNDR participated in the latest round. Alongside the raise, Harvey also announced its acquisition of San Francisco-based Guardrails AI, an AI security platform for agents. The company's co-founders Shreya Rajpal and Zayd Simjee and their team will join Harvey's product and engineering organisation, the company said in an announcement today (9 September). "The opportunity for companies to accelerate their competitive advantage with AI has never been higher," company co-founders Winston Weinberg and Gabe Pereyra said in a statement. "Harvey wants to be the global partner legal teams turn to for this work, and we plan to hire and develop the best team in the space to support our clients through the next wave of AI transformation." The San Francisco-based start-up provides AI for legal and professional services. Similar to many domain-specific large language models, it leverages data tuned using legal, tax and business knowledge, utilising a multi-model approach powered by leading AI models. The company's platform is used by a majority of the world's largest law firms, as well as by in-house legal teams at five of the Fortune 10, it said. The latest funding round comes just after Harvey unveiled its first post-trained open-weight model called Harvey Tenet. The model has a base built from Chinese AI start-up Moonshot's Kimi K3 and is trained specifically for legal tasks. Earlier this year, it opened an office in Dublin with plans to hire more than 40 employees over the next two years. The office was initially announced in January with early hiring plans eyeing 20 roles in the first year. Suhasini Srinivasaragavan is a sci-tech reporter for Silicon Republic
Harvey has closed a $550 million funding round at a $15.6 billion valuation and acquired AI agent security startup Guardrails AI. The round was co-led by Lightspeed Venture Partners and Diffusion, with participation from Sapphire Ventures and Whale Rock Capital Management. The legal AI company has raised more than $1.5 billion total, making it the most valuable and best-funded firm in its sector. Annual recurring revenue has surpassed $400 million, whilst the customer base has grown to over 3,000 organisations, up from 1,300 in March. Harvey recently released Tenet, its first fine-tuned legal model, built on Moonshot AI's Kimi K3. The company routes tasks to the cheapest capable model rather than using one model for every request. This is Harvey's fourth acquisition this year, with terms undisclosed.
Legal tech startup Harvey has reached a $15.6 billion valuation after raising $550 million in its latest funding round. The company plans to use the capital to develop its own AI models. Harvey provides AI-powered tools for legal professionals. The substantial funding reflects growing investor confidence in specialised AI applications for professional services. The new valuation marks significant growth for the startup, which operates in the legal technology sector. The company is focusing its resources on building proprietary artificial intelligence technology rather than relying solely on third-party models.