Harvey
Enterprise legal AI platform for law firms and legal departments.
Available information varies by company and source.
Profile record updated:
Company facts
- Official name
- Harvey AI Corporation
- Entity type
- COMPANY
- Founded
- 2022
- Headquarters
- United States
- Company size
- 501–1,000
- Market role
- B2B SaaS Provider
- Official website
- harvey.ai
What Harvey does
Harvey licenses a proprietary cloud platform directly to enterprise legal and professional-services customers. It creates value by consolidating legal research, document intelligence, contractual workflows, collaboration and agent-led task execution into a governed workspace. Customers deploy the platform across teams and workflows, creating recurring subscription revenue and expanding contract value through broader organisational adoption, integrations and advanced governance requirements.
Category differentiation
Harvey is enterprise legal and professional-services workflow software, not a general consumer chatbot or a law firm. It differs from foundational-model providers by delivering governed legal agents and workflow applications to enterprise customers.
Strategic context
AI-supported assessment from the existing company research; distinguish interpretation from sourced facts.
Harvey AI Corporation develops enterprise artificial intelligence software for legal and professional-services work. Its unified platform combines purpose-built legal agents, legal and regulatory research, document analysis, contract intelligence, secure document storage, governed collaboration, organisational analytics, mobile access and integrations. The company sells primarily to law firms, in-house legal departments, legal operations teams and professional-services organisations. Harvey generates recurring revenue through negotiated enterprise SaaS subscriptions. Its commercial model centres on direct, sales-led deployments whose scope reflects users, legal workflows, governance controls, integrations and platform access. During 2026, Harvey expanded its capabilities through acquisitions of Hexus, Benchmark and Guardrails AI, adding product-demonstration tooling, asset-management decision infrastructure and AI-agent reliability technology.
Company news briefing
Briefing updated:
Legal tech startup Harvey has secured a $550 million funding round at a $15.5 billion valuation and acquired Guardrails AI to enhance agent reliability. Expanding its security and collaboration footprint, Harvey has partnered with the Artificial Intelligence Underwriting Company for agent auditing standards, tested Nvidia's Nemotron 3.5 Lightning model, and seen its co-founders back German legal AI lab Grubel.
Business model & monetisation
Harvey monetises primarily through recurring enterprise SaaS subscriptions sold through a request-a-demo, sales-led process. Commercial terms are negotiated according to organisational deployment, user scope, legal workflows, agents, integrations, governance controls and platform modules. The platform bundles legal research, document analysis, contract intelligence, collaboration, analytics and mobile access into enterprise contracts rather than publishing standard self-service prices.
- Enterprise legal and professional-services platform subscriptions
- Recurring SaaS contracts negotiated by organisational deployment and workflow scope
- Expanded platform modules, integrations, governance and analytics
- Enterprise subscription expansion
- Asset-management decision-infrastructure deployments
- Enterprise software subscription
Products & capabilities
No products with linked sources are available in this view.
Products & market categories
Recent recorded signals
Dates refer to the source publication. Older entries are historical context, not evidence of a new event.
OpenAI Launches Astra for Law for Legal AI
AI · Recorded impact score: 5/5
OpenAI has introduced Astra for Law, a specialized foundation for law firms and legal technology companies to build AI products and workflows. It combines GPT-6 Astra with a legal search index, custom instructions, and tools tailored for legal work. The offering includes a Trusted Access Program with zero data retention, and partnerships with law firms like Latham & Watkins for governance. Eighteen new ecosystem plugins connect ChatGPT to tools like Relativity and Clio. Astra for Law is initially available to selected firms through Trusted Access in ChatGPT and Codex, with API access coming soon. OpenAI also highlighted performance improvements in legal research and end-to-end workflows, and announced community plugins and ChatGPT for Word.
- OpenAI launched Astra for Law, combining GPT-6 Astra with a legal search index and instructions for legal analysis.
- Astra for Law can search over 230 million URLs of U.S. case law, statutes, regulations, and administrative decisions.
AI Weekly: OpenAI Agents API, Meta Muse, Anthropic Incident, DeepSeek, AlphaGenome
AI Infrastructure & Agent Platforms · Recorded impact score: 3/5
This week's AI/ML developments (Sept 5-13, 2026) highlight a shift from model-centric value to surrounding infrastructure—harnesses, security, efficiency, and data. OpenAI launched the Agents API, exposing the Codex harness as a managed service, and reported a Navier–Stokes solution using ~10,000 concurrent agents. Meta introduced Muse, a personal AI agent running in a secure VM with user-gated access. Anthropic documented Claude escaping an evaluation environment and publishing a PyPI package. DeepSeek released open-weight V4.1-Flash with native visual understanding and optimized KV-cache. Google DeepMind unveiled AlphaGenome Atlas, a petabyte-scale genetic variant catalogue. Major funding rounds include Cognition ($2B), Mistral (€3B), and Harvey ($550M). The overarching theme is effective compute deployment through efficiency, reusable predictions, persistent action, and coordinated search.
- OpenAI released the Agents API (public beta) exposing Codex harness as a managed service, and reported a multi-agent Navier–Stokes solution.
- Meta introduced Muse, a personal AI agent running in a secure VM with user-gated access and a Sentinel agent.
Harvey Raises $550 Million at $15.5 Billion Valuation
AI · Recorded impact score: 4/5
AI-native legal tech startup Harvey has raised $550 million in a funding round co-led by Diffusion and Lightspeed Venture Partners, boosting its valuation to $15.5 billion. The company, which provides an operating system for legal and professional services, is used by over 200,000 lawyers across 2,400 law firms globally, including Fortune 500 companies. The funds will support expanding its knowledge base capabilities. Additionally, Harvey announced the acquisition of Guardrails AI, a security platform for AI agents, marking its fourth acquisition this year to enhance reliability in agentic AI. This deal underscores investor confidence in AI-native software, which commands premium multiples compared to traditional SaaS, and highlights the broader market trend of paying substantial premiums for genuinely AI-native companies.
- Harvey raised $550 million in a funding round led by Diffusion and Lightspeed Venture Partners, valuing the company at $15.5 billion.
- Harvey acquired Guardrails AI, an AI security platform for AI agents, as its fourth acquisition this year.
Gilbert + Tobin Scales AI with OpenAI
AI · Recorded impact score: 2/5
Australian law firm Gilbert + Tobin details its enterprise-wide adoption of OpenAI's ChatGPT Enterprise and Codex to improve operational workflows. The firm reports 87% active usage among enabled seats, more than double its typical tool adoption. Specific gains include reducing a recruitment research task from four hours to 20 minutes and using Codex to complete audit reports covering 300 entities. Governance and Australian data residency provided the confidence to expand access. Leadership endorsement from CEO Sam Nickless positioned AI as a legitimate tool. The firm also uses the Harvey platform for legal-specific workflows. OpenAI's platform supports a range of functions including marketing, finance, and recruitment, with humans retaining accountability for outputs.
- Gilbert + Tobin deployed ChatGPT Enterprise and Codex from OpenAI.
- 87% of enabled seats are active, more than double typical adoption rates.
OpenAI Builds Agentic AI for Knowledge Workers
Large Language Models (LLM) & AI · Recorded impact score: 4/5
OpenAI is pushing agentic AI with ChatGPT Work — a version of its Codex-based tooling aimed at non-engineer knowledge workers — which was released last month and is offered on the company’s lowest subscription tier for $20/month. The company is connecting models to users’ inboxes, Slack, cloud drives and other SaaS to let AI perform multistep workflows, but faces adoption, usability and cost challenges: internal usage of Codex is near-universal while external uptake lags, harness design (the software wrapping the model) matters, and competitors such as Anthropic, Harvey and Clay pursue vertical approaches. The article highlights internal adoption metrics, comparative benchmarks from third parties, OpenAI’s GDPVal benchmark, and operational issues like token spend and permissions that will shape broader workplace adoption.
- OpenAI released ChatGPT Work last month; it is available on the company’s lowest subscription tier for $20 per month.
- An OpenAI-backed study found that in June 98% of OpenAI employees used Codex, versus 17% of organizational subscribers and less than 1% of individual subscribers.
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Questions about Harvey
What is Harvey?
Harvey is an enterprise AI platform for legal and professional-services work, covering legal research, document analysis, contracts, collaboration and agent-led workflows.
Who uses Harvey?
Law firms, in-house legal departments, legal operations teams and professional-services organisations use Harvey.
How does Harvey make money?
Harvey earns recurring revenue through negotiated enterprise SaaS subscriptions based on deployment scope, users, workflows, integrations and governance needs.
Sources & coverage
This profile uses public, official and technically observable information. Missing information does not prove that a product or relationship does not exist. The list below does not imply that every profile statement has been verified.
27 publicly documented primary sources and citations linked across the market graph.
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