H

Harvey

Builds AI software for lawyers

CX Data Analyst

Full-Time
$112k - $168k/yr
Mid, Senior
San Francisco, CA, USA
Hybrid
Data & AnalyticsBusiness Intelligence

About the job

Requirements
  • Three to five years of experience in analytics, including at least two years directly in support operations, customer success operations, or a closely adjacent function.
  • Fluency in support platform data, including understanding how Zendesk or an equivalent platform is structured and what data it produces.
  • Proficiency in SQL, including writing complex queries against large datasets using common table expressions, window functions, and joins across schemas.
  • Experience building and maintaining operational dashboards in Looker, Tableau, Sigma, Omni, or an equivalent tool.
  • Experience reporting to multiple audiences and tailoring reporting to different stakeholder needs.
  • Ability to work independently and identify analytical work without waiting for assigned tickets.
Responsibilities
  • Own recurring reporting for Customer Experience on weekly, monthly, and quarterly business review cycles, tailored to operations, leadership, and cross-functional audiences.
  • Translate support data into clear narratives explaining what is happening, why it is happening, and what actions to take.
  • Track and maintain north-star metrics, including customer satisfaction, time to resolution by tier, quality assurance scores, bug escalation rate to engineering, product, and design, and first response time.
  • Build and maintain self-service dashboards that give operations and leadership real-time visibility into support performance.
  • Partner with Support Systems to ensure Zendesk is instrumented to capture required data.
  • Work with the central data team to connect support data to broader product and customer data sources.
  • Identify and close data collection gaps, including defining how missing information should be measured.
  • Design feedback loops connecting support signals to Product, Engineering, and Customer Success.
  • Quantify the operational cost of product bugs, feature gaps, and onboarding failures.
  • Contribute to quality assurance analytics as the quality assurance program matures.
  • Track ticket deflection, artificial intelligence and chatbot performance, and self-service effectiveness.
  • Measure the impact of artificial-intelligence-driven support, including containment rate, escalation rate from AI interactions, and resolution quality, and surface findings to guide tool tuning and investment.
  • Support ad hoc analytical requests from the Support Operations Manager, Customer Experience leadership, and senior stakeholders.
Desired Qualifications
  • Experience using Python for data manipulation or automation.
  • Familiarity with dbt or similar data transformation tooling.
  • Experience building or contributing to quality assurance analytics programs.
  • Background supporting enterprise software-as-a-service or AI-native products.
  • Experience working with Zendesk application programming interfaces or extracting data beyond standard reporting.
  • Active use of artificial intelligence tools in analytical workflows.
  • Ability to deliver findings quickly and proactively.
  • Ability to assess which metrics are meaningful and challenge incorrect metric framing.
  • Ability to produce direct, jargon-free, actionable written outputs.

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

Get referred to Harvey

See people who can refer or advise you

Simplify Jobs

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.

Help us improve and share your feedback! Did you find this helpful?

Benefits

  • Relocation Assistance

Growth & Insights and Company News

6 month growth

-4%

1 year growth

-3%

2 year growth

0%
PR Newswire
Oct 21st, 2026
Mary Technology brings a factual foundation for litigation into Harvey.

Mary Technology brings a factual foundation for litigation into Harvey. Oct 21, 2026, 11:00 ET The Mary connector helps litigation teams investigate complex factual questions in Harvey, drawing on the matter's documents and the team's earlier findings. AUSTIN, Texas, Oct. 21, 2026 /PRNewswire/ - Mary Technology, the AI software for investigating the facts of a legal matter, today announced an integration with Harvey, bringing its specialist factual investigation capabilities into Harvey's legal AI platform. Mary reads and maps a matter's uploaded documents before the first question, and retains the team's findings and review as the case develops. The connector brings that accumulated understanding into Harvey, so lawyers can investigate an issue using both the evidence and the work their team has already done. Litigation teams can assess the evidence for and against individual allegations, test witness accounts against contemporaneous documents and examine payments and transfers across financial records. Mary keeps relevant contradictions, gaps and corroborating evidence in view, and explains why particular documents were used or excluded in producing work product. "The value of AI in litigation depends on the quality of the factual record it works from," said Daniel Lord-Doyle, co-founder of Mary Technology. "Mary has one focus: turning a matter's evidence into a factual foundation that lawyers and their AI tools can build on. Our ambition is for AI tools to draw on and contribute to that same foundation, with lawyers reviewing how it develops." In Mary, lawyers can review and confirm facts, see colleagues' confirmations and follow the audit history. Findings, conflicting accounts, qualifications and lawyer review remain available in Mary, so subsequent work can build on what the team has already examined. When new documents are relevant to existing work, Mary suggests updates to supported work product. Once the user accepts and Mary processes the changes, the updated work is automatically available through the connector when the team next works in Harvey. "Litigation teams want to use the specialist tools they trust without leaving the platform where they do their work," said Nate Schlein, Head of Product Business Development at Harvey. "Bringing Mary into Harvey means lawyers can draw on what their team has already built about a matter's facts, right where they're drafting, researching and building their case." About Mary Technology Mary Technology is AI software for investigating the facts of a legal matter. Mary brings together findings, conflicting accounts and questions for further investigation, helping litigation & disputes teams develop and retain their understanding of the case. Used by more than 4,000 lawyers across more than 150 firms, Mary is backed by investors including OIF Ventures, Empress Capital and Sydney Angels. 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. SOURCE Mary Technology

Legal IT Insider
Oct 21st, 2026
Autologyx & Mary Technology bring new capabilities into Harvey.

Autologyx & Mary Technology bring new capabilities into Harvey. * October 21, 2026 Autologyx today (21 October) announced that its Model Context Protocol (MCP) connector is live in the Harvey Connector Library, enabling shared customers to connect Harvey's legal AI capabilities directly with Autologyx's enterprise workflow orchestration platform. Elsewhere, Mary Technology also announced an integration with Harvey today, bringing its specialist factual investigation capabilities into Harvey's platform. Autologyx' connector allows Harvey users to access and update Autologyx workflow records, documents and tasks. With appropriate permissions, users can also create records and make changes that trigger existing workflows, connecting AI-assisted legal work with governed enterprise processes. As law firms accelerate their adoption of AI, attention is shifting from what AI can analyse and generate to how it can participate in the processes through which legal work is delivered. The Autologyx connector helps bridge that gap, enabling firms to move from AI assistance to workflow execution without replacing their existing technology investments. "AI brings extraordinary intelligence and flexibility to legal work, but firms also need predictability, consistency and control over how that work progresses", said Ben Stoneham, founder and CTO at Autologyx. "By bringing Harvey's legal AI capabilities together with Autologyx's deterministic workflow orchestration, we're enabling firms to combine the strengths of both approaches: legal intelligence alongside structured, governed processes. We believe the future of legal AI will be defined by how effectively firms connect intelligence with action." "We built Harvey's Connector Library so firms can connect Harvey with the tools they rely on", said Nate Schlein, head of product business development at Harvey. "The Autologyx connector links Harvey to their established workflows, so AI-assisted work moves forward inside the processes and controls they trust." Elsewhere, Mary Technology also announced an integration with Harvey today, bringing its specialist factual investigation capabilities into the platform. Mary reads and maps a matter's uploaded documents before the first question, and retains the team's findings and review as the case develops. The connector brings that accumulated understanding into Harvey, so lawyers can investigate an issue using both the evidence and the work their team has already done. Litigation teams can assess the evidence for and against individual allegations, test witness accounts against contemporaneous documents and examine payments and transfers across financial records. Mary keeps relevant contradictions, gaps and corroborating evidence in view, and explains why particular documents were used or excluded in producing work product. "The value of AI in litigation depends on the quality of the factual record it works from," said Daniel Lord-Doyle, co-founder of Mary Technology. "Mary has one focus: turning a matter's evidence into a factual foundation that lawyers and their AI tools can build on. Our ambition is for AI tools to draw on and contribute to that same foundation, with lawyers reviewing how it develops." Schlein added: "Litigation teams want to use the specialist tools they trust without leaving the platform where they do their work. Bringing Mary into Harvey means lawyers can draw on what their team has already built about a matter's facts, right where they're drafting, researching and building their case."

Global Legal Post
Oct 21st, 2026
Legora raises $550m at $8.8bn valuation in latest funding round.

Legora raises $550m at $8.8bn valuation in latest funding round. Swedish legal AI startup's valuation rockets by more than $3bn in just seven months as it says US is now its largest market by revenue 21 October 2026 Max Junestrand Legora has raised another $550m in a Series E funding round that values the Swedish startup at $8.8bn. The round comes just seven months after Legora raised $550m at a $5.6bn valuation. It will be used to support growth in North America, where it has built a network of seven offices since debuting in New York in 2025, as well as across Asia Pacific and Europe, where the company opened in Madrid, Milan and Paris in the summer, alongside an engineering base in London. The round was led by Atreides Management, with new investors including Baron Capital, Capital Group, Fidelity Management & Research Company, Glade Brook Capital Partners and JPMorgan. Existing major investors, including Accel, Benchmark, General Catalyst, ICONIQ and Redpoint Ventures, also participated. Advertisement Legora has now raised more than $1.4bn since its founding in 2023. The latest round comes amid a period of explosive growth at the company, which said annual recurring revenue had now passed $200m, having gone from $1m to $100m in less than 18 months. In the US - now its largest market by revenue - more than half of the Am Law 50 are customers, while globally the firm serves more than 2,400 law firms and in-house legal teams, Legora said. In-house teams are also quickly becoming a larger part of the business, going from a small fraction of Legora's customer base a year ago to more than 40% of new customers in the third quarter. LAW OVER BORDERS COMPARATIVE GUIDES Artificial Intelligence Law Guide This third edition brings together leading legal specialists from around the world to provide practical insights into the rapidly evolving legal and regulatory landscape for artificial intelligence... | 3w. "The opportunity in legal is enormous, and we are still early," said Max Junestrand, Legora's CEO and co-founder. "AI is changing the role of the lawyer, with more time for judgement and advice, and it is reshaping how law firms and in-house legal teams are organised and how their work gets done. We intend to lead that shift in the US and globally." Legora's major rival Harvey raised $550m at a $15.5bn valuation in September, continuing a remarkable period of fundraising that has seen its valuation triple in just over a year.

LexBlog
Oct 18th, 2026
Enter through the Front Door.

Enter through the Front Door. Earlier this week, two major legal technology companies, Harvey and Legora, each announced their new AI Legal Front Door solutions on the exact same day and with the exact same solution names! What a coincidence! Front Door solutions such as theirs serve as comprehensive legal intake tools to enable business clients to engage with their in-house legal teams in a scalable manner. These announcements also demonstrate the growing importance and growing totally addressable market (TAM) of corporate legal departments as key consumers of legal AI technology. I'm a big fan of Front Doors as I have a lot of experience working with both Front Doors that were created organically by corporate legal teams and Front Doors that are licensed from third party legal technology providers. If you are in the market to license and deploy a Front Door, here's | best practices: EASE OF USE: A Front Door must be super easy and inviting to use or else business people won't embrace it. Configure a Front Door in a manner that requires business users to effortlessly add must-have information to initiate a request for legal help. TRAIN, TRAIN, TRAIN: Provide short trainings on how to use the Front Door to your clients. Record those trainings so clients can listen to them on-demand. SELF-HELP RESOURCES: Include self-help or do-it-yourself resources near the entrance to the Front Door such as contract templates, playbooks, FAQs, policies, etc...that business users can exhaust before initiating a formal request for legal help in the Front Door. Such resources need to be continually updated. AGENTIC CAPABILITY: Ideally, Front Doors should have agentic capabilities that are native to their solutions which serves as a digital concierge for users to seemlessly navigate with the Front Door. In addition, your company should create/license an agent that takes a business user directly to the Front Door from wherever they are already working and which provides the business user with quick access to applicable Front Door information. ALL ACCESS: All business users should have access to enter the Front Door when legal assistance is needed. The legal team should reinforce to business users to go to the Front Door for legal help so that matters can be properly tracked and key metrics can be created. SENIOR BUSINESS BUY-IN: Since interacting directly with a Front Door is a change in the way business people have historically interacted with the legal team, make sure that senior business leaders are on-board with this approach and that they are willing to reinforce any messaging to use the Front Door. CAUTION WITH SENSITIVE INFO: Not all business users should have access to the totality of information that may be housed in a Front Door. Be mindful of attorney-client privilege considerations as highly sensitive matters may not be appropriate for routing through a Front Door. STAY DISCIPLINED: Other than requests for individualized legal support from your CEO, SLT or Board, be persistent in requiring you business clients to leverage the Front Door when they need legal help. REPORT OUT: Use the data and key metrics from the Front Door to demonstrate how the legal team is serving as a business accelerator. TRUST IS PARAMOUNT: There are a growing number of Front Door providers nowadays. Take your time to select a provider that you can truly trust and whose solution is enterprise ready.

Legal IT Insider
Oct 16th, 2026
Hogan Lovells Cadwalader unveils firmwide AI strategy, signs with Harvey and Legora.

Hogan Lovells Cadwalader unveils firmwide AI strategy, signs with Harvey and Legora. * October 16, 2026 Hogan Lovells Cadwalader has today (16 October) unveiled a firmwide AI strategy that brings together new senior leadership, an AI board and commercial unit, alongside agreements with Harvey and Legora and continued investment in its own proprietary technology. Paul Otto will become managing partner for legal technology and AI. Otto is a partner in the global regulatory practice at the firm, based in Washington, D.C., and he is a leading advisor on AI, cybersecurity, data, technology, and digital risk. Oliver Campbell has been appointed chief transformation officer. He has been with the firm for six years and is a former capital markets lawyer. He has spent 15 years helping law firms modernize legal and business services. It is interesting to note that both are lawyers. The firm is also creating a new AI Board, which will evaluate ideas developed across the firm's practice groups and sectors to assess opportunities to use AI to enhance the delivery of legal services. It will decide whether solutions should be built internally or sourced externally, allocate resources accordingly, and oversee their development and deployment. Zaldivar commented: "AI is already transforming the way legal services are delivered, and we want to continue to be at the forefront of that change. These appointments, and our new AI Board, create the leadership, governance, and accountability needed to move quickly, make the right investment decisions, and ensure our AI strategy remains closely aligned to the needs of our clients and our firm." In addition, the firm is today announcing that it has signed agreements with Harvey and Legora. While many firms are using both, it is unusual to see these announcements both come to light, particularly at the same time. Zaldivar said: "There is no single AI solution that will meet every need of a modern global law firm. Harvey and Legora have been providing our lawyers with access to market-leading capabilities that enhance productivity and support client service across a wide range of legal tasks. At the same time, ELTEMATE will continue to develop proprietary tools, workflows, and client-facing solutions that reflect our unique expertise. Our strategy is to combine the best technology available with innovations we build ourselves, ensuring we remain agile, differentiated, and focused on the needs of our clients." The firm has also created a new commercial unit and is announcing that Bill Ferreira will take on the role of managing partner - commercial unit and client delivery. The Commercial Unit will focus on pricing, legal project management, pitching, and client delivery as the firm evolves its commercial approach and uses emerging technology, including AI, to create greater long-term value for clients. Bill Ferreira has established a leading practice at Hogan Lovells Cadwalader in government grants and international projects, advising companies and the world's top universities and hospitals on U.S. and international projects. He is the Practice Area Leader for the firm's global Government Contracts & Higher Education practice and will continue in that role. Zaldivar commented: "Clients increasingly expect their law firms to deliver not only outstanding legal advice, but also greater transparency, efficiency, and commercial rigor. Its new Commercial Unit will bring together the capabilities needed to help Legal Technology price, manage, and deliver matters more effectively, while making the most of emerging technologies, including AI, to create sustainable value for its clients. "The strength of our business, our continued growth, and the increased scale created by our merger enable us to invest in AI, technology, and innovation from a position of strength. We are doing so while remaining true to our partnership model, retaining full control of our strategic direction, and making long-term decisions based on what is right for our clients and our people. That combination of ambition, investment, and independence gives us a powerful platform for future growth." This story is being updated.