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Company profile

Harvey

AI software for legal and professional services.

harvey.aiProfile compiled July 202618 source pages read
Category
Legal AI
Headquarters
United States
Sells to
Enterprise
Business model
SaaS subscription
Deployment
Cloud / SaaS, Mobile
Pricing
Not published
Builds own models
No — builds on existing models
Modalities
Text

Harvey provides AI software for legal and professional services, helping law firms and in-house legal teams elevate their craft and navigate complexity. The platform is designed to streamline workflows in areas such as legal research, deal management, due diligence, fund formation, contract analysis, complex workflows, document storage, compliance, and litigation. Harvey aims to free legal professionals from mundane, routine tasks, allowing them to focus on strategic thinking and high-value work. It offers customizable solutions, robust security, and tools for collaboration and knowledge management, enabling faster, more consistent, and higher-quality legal work.

  • AgentsDelegates work end-to-end, returning cited, review-ready output. Agents can split large tasks, work in parallel, run scheduled reports, updates, and reviews, and support multi-format inputs (documents, images, video, audio) and outputs (reports, presentations, interactive pages). Users can review and approve work, receive nudges when judgment is needed, and audit claims with citations. Custom agents can be built to capture expertise and preferences, with memory that carries context forward. Connectors allow secure access to Microsoft, DMS systems, and other tools.
  • VaultSecurely stores, organizes, and allows bulk analysis of legal documents. It helps streamline large-scale document organization, review, and analysis, extracting key insights at scale in a structured, tabular format. Users can compare data points from thousands of documents, perform deep analysis across vaults, and synthesize extracted data. It supports sharing and collaboration, integrates with DMS systems, and allows for the creation of knowledge bases.
  • WorkflowsEnables users to run pre-built workflows or build their own, tailored to their firm’s needs.
  • KnowledgeFacilitates research on complex legal, regulatory, and tax questions across domains by connecting to legal databases, curated public sources, and institutional knowledge. It integrates with various data partners and provides access to web and EDGAR for public company disclosures.
  • Shared SpacesAllows collaboration with clients, outside counsel, and business partners on the platform.
  • EcosystemLeverages the power of Harvey within existing tools and environments.
  • AssistantHelps law school students draft and refine briefs, get deeper insights from case readings, and prepare for discussions with iterative prompts. It includes built-in citations and supports knowledge bases for study materials.
  • Legal Research
  • Deal Management
  • Due Diligence
  • Fund Formation
  • Contract Analysis
  • Complex Workflows
  • Document Storage
  • Custom Workflow agents
  • Embed expertise into AI resources
  • Track adoption and ROI
  • Collaboration and sharing
  • Compliance controls (permissions, audit trails)
  • Parallel Execution of tasks
  • Scheduled Agents
  • Multi-Format Support (documents, images, video, audio)
  • Review and Approve Workflows
  • Nudges for judgment calls
  • Auditability with claim-level citations
  • Agent Builder for custom agents
  • Memory for tasks and preferences
  • Connectors to Microsoft, DMS systems
  • Information synthesis with text-level citations
  • Litigation & risk management insights
  • Regulatory compliance analysis
  • Contracting review and drafting suggestions
  • Legal operations (track dates, obligations, categorize clauses)
  • Public company research (EDGAR access)
  • Enterprise-Grade Protection
  • Purpose-Built Security (in-house team, 24/7 monitoring)
  • SAML SSO
  • Audit logs
  • IP allow-listing
  • Data lifecycle management
  • Data Sovereignty and Control (retention policies, deletion, in-region hosting)
  • No Model Training on customer data
  • Ethical Walls Enforcement
  • Enforceable Commitments (Security Addendum, incident response SLAs)
  • Independently Tested Security (Schellman, NCC Group, Bishop Fox)
  • Data encryption at rest and in transit
  • Strong access controls
  • Logical separation of customer data
  • Role-based access controls
  • Cross-platform connection (Assistant, Workflows, Mobile, Word/Outlook Add-Ins)
  • Access to legal databases (LexisNexis®, Rettsdata, FromCounsel, SCC Online, Wolters Kluwer, Otto Schmidt, Lefebvre, Tirant lo Blanch)
  • Web search for credible information
  • EDGAR access for SEC filings
  • Legal Research
  • Deal Management
  • Due Diligence
  • Fund Formation
  • Contract Analysis
  • Complex Workflows
  • Document Storage
  • Firmwide transformation and expertise embedding
  • Managing permissions and monitoring usage
  • Elevating legal excellence and work quality
  • Designing and deploying custom workflow agents
  • Turning proprietary knowledge into AI resources
  • Tracking adoption and measuring ROI
  • Collaboration and sharing among attorneys
  • Ensuring firmwide compliance
  • Regulatory briefings (synthesizing policies, creating action memos)
  • Deposition preparation
  • Strategic guidance and faster execution for in-house teams
  • Streamlining routine legal work
  • Extending business impact across departments
  • Growing while staying compliant
  • Information synthesis (contract implications, regulatory updates)
  • Litigation & risk management (insights, identifying liabilities)
  • Regulatory compliance (analyzing regulations, tracking changes)
  • Contracting (reviewing, drafting suggestions)
  • Legal operations (tracking dates, obligations, categorizing clauses)
  • Public company research (analyzing trends, disclosures)
  • Streamlining research, drafting, and reviewing processes
  • Secure collaboration across firms and corporations
  • Unifying institutional knowledge
  • Augmenting transactional work
  • Accelerating due diligence and contract drafting
  • Reducing costly write-offs
  • Expanding capacity without increasing headcount
  • Client engagement and prospecting (alerts, thought leadership)
  • Drafting (strengthening clauses, checking inconsistencies)
  • Negotiation (generating issues lists, recommendations)
  • Deal management (generating checklists, extracting deadlines)
  • Organizing thousands of documents for review
  • Extracting key insights from documents at scale
  • Comparing data points from documents
  • Deep analysis over vaults
  • Synthesizing extracted data points
  • Accelerating reviews in shared vaults
  • Internal knowledge management (creating compliance document repositories)
  • Precedent extraction
  • Discovery organization and dispute tracking
  • Collaborative reviews and discovery
  • Reducing manual work for litigators
  • Redirecting time to decision-making for litigators
  • Uncovering critical details from documents for litigation
  • Automating repetitive tasks for litigators
  • Accelerating legal writing (first drafts, polished prose)
  • Case assessment (evaluating complaints, creating chronologies)
  • Discovery (reviewing documents, analyzing expert work, organizing materials)
  • Analysis (synthesizing legal principles)
  • Drafting (pleadings, motions, legal briefs, client memos)
  • Trial preparation (optimizing strategy, analyzing opposing counsel)
  • Strategic advice (post-judgment communications, grounds for appeal)
  • Law school student engagement with AI
  • Learning practical legal skills for students
  • Preparing for law careers
  • Drafting and refining briefs for students
  • Gaining insights from case readings for students
  • Preparing for discussions for students
  • Ensuring accuracy in class notes and research papers with citations
  • Synthesizing key information for exams
  • Creating fact summaries for exams
  • Collaborating on class, law journal, and clinic projects
  • Studying more efficiently with an AI-powered legal tutor
  • Brainstorming, outlining, and drafting write-ups for students
  • Preparing for class discussions and oral arguments for students
  • Creating detailed class notes and study sheets for students
  • Integrating AI fluency into legal curricula
  • Incorporating hands-on class assignments
  • Empowering student body with tools for long-term success
  • Shaping AI implementation on campus
  • Scaling skill development with ongoing training

Harvey provides domain-specific AI for legal and professional services, offering tools like Agents for task automation, Vault for document analysis, Workflows for tailored processes, and Knowledge for legal research. It leverages generative AI to streamline legal work, with a focus on accuracy through claim-level citations and not training on customer data. The platform integrates with various legal databases and tools.

Tech named: generative AI

  • Legal Services
  • Professional Services
  • Software Development
  • Telecommunications
  • Agriculture
  • Law Schools
  • AI designed specifically for legal and professional services
  • Secure platform with world-class security and data privacy measures
  • Enterprise-grade controls including SAML SSO, audit logs, IP allow-listing, data lifecycle management
  • Data sovereignty and control with in-region hosting options (EU, Switzerland, US, Australia)
  • Contractual guarantee that customer data is not used to train underlying models
  • Enforcement of existing ethical wall policies
  • Auditable and enforceable security commitments aligned with SOC 2, ISO, GDPR, CCPA
  • Independently tested security by top-tier firms (Schellman, NCC Group, Bishop Fox)
  • Domain-specific AI for legal and professional services
  • Ability to customize to firm's unique needs and ways of working
  • Built-in controls and transparency for responsible AI deployment
  • One platform for firms and corporations to collaborate securely
  • Unifies institutional knowledge, documents, and data
  • High adoption rates (92% average monthly usage)
  • Significant time savings reported by users (25+ hours/month, 3.6 hours/week for Syngenta)
  • Measurable productivity gains ($18,000 annually per lawyer for Syngenta)
  • Ability to reduce external counsel spend
  • Agentic capabilities for complex legal work across litigation, corporate, and financial services
  • High key-term extraction accuracy (96%)
  • Significant reduction in review time (95% for trading agreements at Bridgewater, 80% for M&A transactions)
  • Integrated access to 500+ regional knowledge sources and legal databases
  • Support for law schools to integrate AI into legal education

Sequoia Capital, Coatue, Kleiner Perkins, OpenAI Startup Fund, GV, Conviction, REV

$100MSeries C2024-07-23

GV, OpenAI, Kleiner Perkins, Sequoia Capital, Elad Gil, SV Angel

$80MSeries B2023-12-22medium.com

Elad Gil, Kleiner Perkins, OpenAI’s startup fund, Sequoia Capital

$21MSeries A2023-04-26lawnext.com

Sequoia Capital

From the AI funding tracker — rounds as reported by the linked publications.

This profile was compiled from Harvey's own public pages in July 2026 and reflects what the company states about itself — not an endorsement or an independent audit of those claims. Facts are extracted with AI and filtered by an automated check that drops any named product, customer or certification missing from the source pages. Full method. Something out of date? Tell us.