H

Harvey

Builds AI software for lawyers

Research Engineer - Post-Training

Full-TimeUpdated on 10/18/2026
$231k - $340k/yr
Mid
San Francisco, CA, USA
Hybrid
AI & Machine LearningNatural Language Processing & LLMs

About the job

Requirements
  • Hands-on experience with post-training or model-training work, such as supervised fine-tuning (SFT), preference optimization, reinforcement learning from human or AI feedback (RLHF/RLAIF), reward modeling, distillation, or adapting open-weight models to specialized domains.
  • Strong judgment about model behavior, including reading traces, inspecting outputs, identifying failure modes, and assessing whether a metric measures the intended outcome.
  • Strong Python and research-engineering ability, including writing clean code, debugging experiments, and building reliable systems that accelerate research.
  • Ability to self-manage ambiguous applied research projects and communicate clearly with researchers, engineers, product teams, domain experts, and external partners.
Responsibilities
  • Drive post-training experiments to improve agent performance while navigating tradeoffs among cost, latency, security, and governance.
  • Optimize agent harnesses, including domain-specific skills, tools, subagents, retrieval strategies, and validation loops, to improve quality on long-horizon legal work.
  • Design and develop grading and reward systems that support reliable evaluation, efficient iteration, and high-stakes legal work.
  • Study agent behavior, identify patterns correlated with successful work product, and convert findings into training data, evaluations, or harness changes.
  • Work with internal researchers and external research partners to define experiments, evaluate methodology, review results, and advance projects toward concrete model improvements.
Desired Qualifications
  • Experience building data or evaluation infrastructure for machine-learning workflows, such as dataset curation pipelines, model-output processing, experiment tracking, evaluation dashboards, or regression-analysis tooling.
  • Experience with distributed training, inference systems, GPU workloads, or large-scale machine-learning experimentation.
  • Research publications, open-source contributions, or shipped industry work in large language models, agents, evaluation, or machine-learning systems.

About the company

Harvey builds AI software made specifically for legal work, used by lawyers at large law firms and corporate legal departments. It became one of the first generative AI tools rolled out across a major law firm when Allen & Overy gave it to its lawyers worldwide in 2023. Lawyers use Harvey to research legal questions, draft and review contracts, and run due diligence across large sets of documents, with answers grounded in their firm's own files and trusted legal sources. Firms pay through enterprise subscriptions, and Harvey can tailor its workflows to practice areas such as litigation and mergers. Harvey was founded in 2022 with early backing from the OpenAI Startup Fund and is based in San Francisco.

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

  • Harvey is winning Big Law: 80% of the 100 top-grossing US firms use it, up from 42% in August 2025.
  • Sales are compounding: Harvey's yearly subscription revenue roughly doubled to over $400 million from March to September 2026.
  • Growth creates room to advance: Harvey's staff quadrupled from 350 in August 2025 to over 1,400 a year later.

What critics are saying

  • Busy customers eat profits: per-use AI model bills had Harvey losing 50 cents per sales dollar by June 2026.
  • Harvey's head-to-head rival is gaining: Swedish startup Legora signed elite firms Cleary Gottlieb and Linklaters by April 2026.
  • Expect long, in-office weeks: most staff come in 3+ days a week, and Harvey's COO says it isn't a 9-to-5.

What makes Harvey unique

  • Harvey taps a legal research giant's library: LexisNexis supplies its case law and checks that rulings still stand.
  • Harvey is replacing rented AI with its own: Tenet, launched August 2026, retrains Chinese startup Moonshot's Kimi K3 for law.
  • Big-firm lawyers moving to AI companies pick Harvey most: it hired 22 of 46 in the first half of 2026.

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Benefits

  • Relocation Assistance

Growth & Insights and Company News

Headcount

6 month growth

-5%

1 year growth

-4%

2 year growth

2%
Legal IT Insider
Oct 13th, 2026
Exclusive: Jylo unveils '3.0' with agentic workflows, Microsoft add-ins and AI spend controls.

Exclusive: Jylo unveils '3.0' with agentic workflows, Microsoft add-ins and AI spend controls. * October 13, 2026 Legal AI platform Jylo has launched Jylo 3.0, introducing a major overhaul that moves the company beyond AI-assisted document analysis and towards more autonomous, agent-driven legal workflows. The latest release, which is being rolled out initially to early adopter customer innovation and IT teams, adds a suite of new capabilities including Outlook, PowerPoint and Excel add-ins, configurable AI agents, workflow "actions", version-controlled document management, and granular controls over AI model consumption. The launch comes just six months after Jylo 2.0, which centred on project-based AI collaboration and workflows. According to co-founder and CEO Shawn Curran, Jylo 3.0 represents both a significant technology refresh and a shift in how users interact with AI. "We've moved into more of an agentic assistant," Curran told Legal IT Insider. "Assistants have gone from being single-shot, text-in, text-out systems to being workflows. You're spinning up workflow engines and agents under the hood to execute an outcome and provide work product back." One of the most significant enhancements is the introduction of Actions, which enable organisations to trigger downstream tasks from structured data extracted by AI. Rather than simply identifying information within documents, users can automatically generate reports, create PowerPoint presentations, redact content, assemble disclosure bundles or trigger bespoke workflows. "That gap at the end was always the output," said Curran. "Actions is the next thing. It's a much more autonomous capability against the structured set of data that's been extracted." Jylo has also introduced a new Library capability that allows organisations to build and manage specialist AI agents. These agents can be configured with specific skills, knowledge sources, templates, toolsets and integrations, enabling firms to create role-specific or task-specific assistants for activities such as due diligence, document review and transaction support. Underlying these developments is expanded support for Model Context Protocol (MCP) integrations and a secure code interpreter, allowing agents to execute more complex tasks and interact with external systems. One firm involved in the early stages and signed up to roll out Jylo firmwide is Gateley, where Benjamin Carter, head of technology innovation at Gateley, told Legal IT Insider: "For us, version 3 is about moving away from being primarily focused on just being a playbook workflow automation platform to that bigger, broader workspace, because they're introducing agents and organizational knowledge and connected systems." In terms of why the firm selected Jylo over competitors Legora and Harvey, Carter said: "They're clearly significant players in the market, but for us it wasn't about choosing the biggest name. It was about finding the right fit and the right partner. We spent around six months road-testing Jylo before we made the decision to adopt it, and one of the things we really valued was the relationship. We've had direct access to the team, we've been able to influence the roadmap and we've been able to move quickly from identifying opportunities to developing real use cases." The 3.0 release also addresses a growing challenge facing enterprise AI deployments: cost control. A new credit management capability gives organisations visibility over AI consumption and allows administrators to allocate budgets, set limits, determine model access and manage usage at team or individual level. Administrators can also create custom-labelled AI models, abstracting away the growing complexity of underlying foundation models while controlling spend. "The customer should be in control," said Curran. "They should decide how models are allocated, how much is being spent, and who gets access to premium models." For legal sector customers, Jylo has further strengthened document governance by introducing version history, document check-in/check-out functionality and deeper integration with leading document management systems including iManage and NetDocuments. The addition of an AI-powered Excel add-in is expected to be particularly attractive to non-specialist users, enabling them to generate and analyse spreadsheets through natural language instructions rather than advanced Excel expertise. Commenting on the launch, James Grice, head of innovation and AI at Lawfront, told Legal Technology: "Lawfront has partnered with Jylo for some time now, and version 3 is the clearest example yet of what that partnership delivers. Legal Technology has been involved throughout the development, feeding in how its lawyers work day to day and what they actually need from legal AI, and the Jylo team have taken that seriously at every stage. "The result is a product that feels built for practice rather than demonstration. We're excited about the direction the tool is taking, and equally excited about the direction of the business behind it. There's a lot of noise in this market, and Jylo are one of the few building with real craft." Also commenting on the news, Steve Whitwham, director of business strategy implementation at Clarke Wilmott, said that working with Jylo has delivered "incredible" results around adoption while delivering on all "commercial, governance and technology facets." He said: "The Jylo team have been true partners supporting across all elements of how to successfully deliver this type of service. Importantly, the partnership has been two-way, and Jylo has sought Clarke Willmott's input to the latest iteration of their platform, Jylo 3.0. The new iteration of Jylo is a real step forward incorporating not just technology improvements but really reflecting the feedback from the legal 'shop-floor' that our shared experience over the past 15 months has identified. It is exciting to see the joint Jylo / Clarke Willmott experience of the past 15 months really coming to life in 3.0." You can watch the full product demo with Jylo's co-founder & CEO Shawn Curran below:

Legatics
Oct 13th, 2026
Legatics joins Harvey's Connector Library, connecting Harvey's AI to the live deal.

Legatics joins Harvey's Connector Library, connecting Harvey's AI to the live deal. Legatics chosen for the library, selected on the strength of feedback from law firms already using both platforms. London and San Francisco, October 13 2026 Legatics, the transaction management platform used by leading law firms globally, today announced a partnership with Harvey, the leading operating system for legal and professional services to bring live deal context within Harvey. Legatics holds what a transactional AI needs and cannot otherwise get at, which is the live state of the deal: what is outstanding, who owes it, what has been signed and what changed this morning. This is the context law firms need to conduct more informed drafting, research and analysis in Harvey. Harvey is the place where many lawyers start their work, reviewing, drafting and analysing documents at a level firms have not had before. That work is greatly enhanced by the context of the deal around the document. The Legatics connector, built on the Legatics MCP server, delivers it directly from the deal record, whether the question is about a single matter or the firm's transactions as a whole. "Harvey is where a lot of the thinking on a deal now happens. Legatics is where the deal itself lives: the parties, the documents, what's been signed and the status of everything running on it. For me, Harvey is the brain of the deal and Legatics is the body. The brain does the thinking, the body is where the deal gets done, and a lawyer needs the two connected. This connector joins them. It gives Harvey the context of the deal, live, whenever a lawyer asks a question," said Anthony Seale, Founder and CEO of Legatics. "This partnership came from our mutual customers. They were asking Harvey for a Legatics connection before we had started talking to each other, because they could see the value of the two systems working together on a live deal," said Rob MacAdam, Chief Product & Strategy Officer at Legatics. "Legatics is transaction infrastructure. It is where deals get done, whether a human or an AI is doing the work. This partnership opens that up to Harvey, and it is the first step in a much closer relationship between our two platforms." Live deal context inside Harvey Harvey users can query real matter data held in Legatics: parties and deal facts, the status of the checklists and trackers running on the matter, binders and the contents of data rooms. That works for a single deal or across many at once, so a lawyer can ask where one deal stands as easily as which of their matters need escalation this week. Answers come from Legatics as the source of truth, not from a static export. Firms stay in control throughout. Access follows the user: Harvey sees only what that person is already permitted to see in Legatics. As agents take on more of the work on a deal, the controls firms already use to govern who can see and do what on a matter apply to an agent working in Harvey exactly as they apply to a person. Every access is logged in the matter's audit trail and administrators can switch the connection off at any time. The connector is available to all Legatics customers at no additional cost. What comes next The Legatics connector is now available in Harvey's Connector Library. This integration enables closer handoffs between the two platforms as Harvey workflows are enriched with real-time deal data from Legatics. "Legal teams rely on Harvey for transactional work. Connecting the Legatics MCP server with Harvey now means a lawyer gets an answer grounded in the current state of a deal, with the firm's own permissions intact," said Nate Schlein, Head of Product Business Development at Harvey. Legatics and Harvey are working towards bringing write actions to the connector, which will make this a genuine two-way connection where work done in Harvey feeds straight back into the live deal record. A lawyer will be able to set up a new matter or build a closing checklist with a single prompt, or ask Harvey to take the change of control provisions it has found across a set of contracts and add them to a Legatics list with owners and next steps. Curious what this looks like on a live matter? Book a demo and see the Legatics-Harvey connector in action. About Legatics Legatics is a transaction management platform that streamlines the way lawyers collaborate and close deals. Designed by lawyers, it replaces the checklists, emails and spreadsheets used to run complex transactions with a single collaborative platform covering conditions precedent, closing checklists, signing, data rooms and closing binders. Legatics is used by leading law firms around the world. About Harvey Harvey is the operating system for legal and professional services. The products streamline workflows in areas including contract analysis, due diligence, compliance, and litigation to drive efficiency and value. Global law firms and Fortune 500 enterprises around the world use Harvey to enable faster, smarter decision-making. Backed by world-class investors including Sequoia,Kleiner Perkins, GV, OpenAI Startup Fund, Coatue, Andreessen Horowitz, GIC and EQT, Harvey is used by 2400+ customers in 70+ countries. See more use cases below. Try Legatics today. If you use Word to manage your transactions, you can use Legatics. Using Legatics is that simple.

Nikkei Asia
Oct 12th, 2026
Legal AI giant Harvey to open Japan office in early 2027

US legal artificial intelligence company Harvey plans to enter Japan in early 2027, its chief executive officer said. The move is expected to speed up AI use among law firms and their corporate clients. It may also push lawyers to use billable time more efficiently. Harvey is based in Palo Alto, California.

CNBC
Oct 10th, 2026
AI is changing how lawyers work - and putting the billable hour under pressure.

AI is changing how lawyers work - and putting the billable hour under pressure. Published Sat, Oct 10 20261:00 AM EDT Lindsay Dodgson Listen 4min Key Points * AI is challenging some of the assumptions on which the legal profession was built, forcing firms to reevaluate how their lawyers spend their time and charge for it. * The billable hour is central to the business model of many law firms, but AI means the economics are no longer so straightforward. * AI is also changing how some lawyers learn their trade, as repetitive tasks traditionally helped junior lawyers learn the building blocks of law. Artificial intelligence is now used by almost 90% of legal professionals in the U.K. and Ireland, and it's putting one of the profession's oldest conventions - the billable hour - under the microscope. That's according to legal software company Clio's U.K. & Ireland Legal Insights Report 2026. It found that among firms using AI, almost 80% said they can handle more work without increasing resources, while over 70% said it cut costs by absorbing administrative work once done by support staff. As a result, AI is challenging some of the assumptions on which the legal profession was built, forcing firms to reevaluate how their lawyers spend their time, how they charge for it and how new lawyers learn the ropes. Some of the U.K.'s biggest firms are already putting this into practice. A&O Shearman has worked with legal AI company Harvey to develop artificial intelligence agents for tasks, including reviewing loan agreements and analyzing regulatory filings, which it says can complete in minutes work that previously took several hours. Slaughter and May, meanwhile, has rolled out Harvey across all practice areas this year, including for regulatory research and document analysis. Billable hour pressure. The billable hour is central to the business model of many law firms, but when AI significantly reduces the time lawyers spend sifting through and drafting documents, the economics are no longer so straightforward. "You can't charge 16 hours for something that takes 16 seconds," Nick Rowles-Davies, founder and CEO of legal finance fund Lexolent, based in London and Dubai, told CNBC. About one in five firms that have widely adopted AI report difficulty meeting billable-hour targets, according to Clio's report. Globally, senior legal leaders expect the share of work charged by the hour to fall from 72% to 44% over the next two to three years, according to a Deloitte survey. Routine work is the most exposed, Rowles-Davies said. "If you've got standard documents and you're just putting in detail, then clearly that's an automatic process." But complex legal work still requires human judgment, he added, particularly when interpreting AI output and determining the right strategy for a client. Lawyers also need to be able to spot AI hallucinations. "There have been a lot of cases where lawyers have been sanctioned for producing briefs before a court with cases that don't exist," Rowles-Davies said. Mansoor Soomro, who leads the Future of Work Research Unit at Teesside University in Middlesbrough, England, told CNBC the billable hour is certainly not disappearing overnight, but it is getting harder to justify. Junior lawyer training. AI is also changing how lawyers learn their trade, Soomro added, as repetitive tasks traditionally helped junior lawyers learn the building blocks of law. Reviewing hundreds of documents taught them what matters, writing up contracts honed their drafting skills and researching dozens of cases helped them develop legal reasoning, he added. As AI takes on more of that work, firms will need to be deliberate about replacing those learning opportunities, according to London-based Jorge Bestard, head of EMEA at Harvey. "A faster route to a draft does not automatically mean a faster route to competence," he told CNBC. A&O Shearman is placing more value on "curiosity and entrepreneurship," said Francesca Bennetts, the firm's London-based head of legal talent. It is also building career paths in legal engineering, product and AI delivery that "barely existed a few years ago," she told CNBC. "The need to develop exceptional lawyers doesn't go away," Bennetts said. "They are the partners and experts of the future." Soomro expects judgment to become "disproportionately valuable" in the sector, with lawyers spending more time checking and challenging AI's output and interpreting what it means for a client. "The future may therefore not belong to the lawyer who knows the most about one narrow area, but to the lawyer who knows how to connect multiple areas to solve a complex client problem," he said. AI and workloads. Whether AI efficiencies ultimately make lawyers' working lives better may depend on what firms do with the time they get back. Clio's report found that 51% of legal professionals work evenings, but only 32% want to, while 22% work weekends compared with 11% who would choose to. Joshua Lenon, Clio's New York-based lawyer-in-residence, believes some lawyers are already seeing the benefits. "Lawyers [are] telling us that their day is getting better," Lenon told CNBC, as AI becomes more commonplace. "People are really looking at these tools and saying, 'This is making work better.'"

Harvey
Oct 8th, 2026
Trusted legal AI for the US Public Sector: Harvey achieves TX-RAMP Level 2 certification.

Trusted legal AI for the US Public Sector: Harvey achieves TX-RAMP Level 2 certification. Harvey has achieved TX-RAMP Level 2 certification - demonstrating that it meets Texas's security requirements for cloud services handling confidential or regulated government data. by Harvey Team - Oct 8, 2026 Today, Harvey is proud to announce Harvey has achieved Texas Risk and Authorization Management Program (TX-RAMP) Level 2 certification, effective September 22, 2026. This certification means Texas state agencies, state courts and public institutions of higher education can now bring Harvey's full-stack legal AI platform into their work on sensitive legal matters. "Achieving TX-RAMP Level 2 is a major milestone for our Texas public-sector customers, removing a key security compliance barrier to adopting Harvey across state agencies, state courts and public institutions of higher education," said Pat Manion, Head of Public Sector. "By streamlining contract reviews, compliance filings, and complex legal research, this certification empowers state legal teams to operate with unprecedented speed and precision, ultimately strengthening public administration for Texas citizens." What TX-RAMP Level 2 certifies. Administered by the Texas Department of Information Resources, TX-RAMP provides a standardized approach to the security assessment, certification, and continuous monitoring of cloud services used by Texas state agencies. TX-RAMP adds assurance specifically designed for the needs of Texas government. Level 2 is the program's certification level for cloud services that process, store, or transmit confidential or regulated data in moderate- or high-impact systems. Certification requires a cloud service to satisfy the applicable Level 2 assessment criteria and continue meeting the program's requirements. For customers, this provides a clearer and more consistent way to evaluate whether a cloud provider has implemented the safeguards required for sensitive government information. Building on a foundation of verifiable trust. "Customer trust is foundational to how Harvey builds and operates," said Joshua McKibben, Harvey's Head of Trust. "While certifications like TX-RAMP Level 2 serve as a vital external proof point, true security goes far beyond a single badge - it represents our continuous, day-in, day-out commitment to security and operational resilience." TX-RAMP Level 2 builds on Harvey's broader security and trust program, which includes its SOC 2 Type II attestation and ISO 27001, ISO 27701, and ISO 42001 certifications. Customers can review its certifications and supporting information directly at trust.harvey.ai.