Harvey

Harvey

Domain-specific legal AI for law firms and in-house teams.

75/100Safe BetCustom pricingContact Sales

Harvey is the most specialized legal AI for large firms, but its enterprise-only pricing and lack of a trial exclude smaller practices. If you have the budget, it's unmatched for agentic legal automation.

Best for
  • Law firms handling high-volume document review and due diligence
  • In-house legal teams seeking to streamline contract analysis and negotiations
  • Litigation teams reducing manual effort in discovery and brief drafting
  • Mid-sized firms wanting enterprise AI without building custom solutions
Not ideal for
  • Solo practitioners or very small firms on tight budgets
  • Teams needing AI for non-legal tasks like accounting or HR
  • Organizations requiring on-premise deployment
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AdvancedFor firms, initial setup (tenant configuration, data ingestion, training) typically takes 2-4 weeks. Individual users get value from Assistant within days. Harvey Academy provides on-demand training to accelerate adoption.Web · Mobile · APIAPI available6.0k viewsVerified 12d ago
Pricing
Custom pricing
Contact Sales4 hidden costs
Learning curve
Advanced
For firms, initial setup (tenant configuration, data ingestion, training) typically takes 2-4 weeks. Individual users get value from Assistant within days. Harvey Academy provides on-demand training to accelerate adoption.
Runs on
WebMobileAPI
API available · 10 integrations
Who it's for
In-house counselLitigation associateMid-sized firm partner
Live sentiment
Is Harvey actually worth it?

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Skip it if

Skip Harvey if you're a solo practitioner or small firm on a tight budget, as enterprise-only pricing and no trial make it inaccessible.

The 30-second take
Biggest gripe

Enterprise-only custom pricing means no upfront cost transparency—you'll need to negotiate a contract before knowing the total.

Price reality

Harvey's enterprise-only custom pricing targets large law firms and in-house teams with dedicated budgets. For smaller firms, cheaper alternatives like Lexis+ AI or generic LLMs (ChatGPT, Claude) offer lower entry points but lack Harvey's agentic legal workflow automation.

In short

Harvey — Domain-specific legal AI for law firms and in-house teams. Best for Law firms handling high-volume document review and due diligence, In-house legal teams seeking to streamline contract analysis and negotiations, Litigation teams reducing manual effort in discovery and brief drafting. Contact Sales pricing.

Viability Score

75/100
Safe Bet

How likely is Harvey to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.

momentum
55
funding runway
70
website health
90
wrapper dependency
100

Last calculated: July 2026

How we score →

Key Features

  • AI Assistant for drafting, Q&A, and document analysis
  • Vault for secure document storage and bulk analysis
  • Knowledge for multi-domain legal research
  • Agents for end-to-end legal task automation
  • Contract Intelligence with negotiation insights
  • Command Center for analytics, benchmarking, and AI governance
  • Shared Spaces for cross-organization collaboration
  • Harvey Mobile for mobile web access
  • Legal intelligence embedded in Microsoft 365
  • Ecosystem integrations with DMS and productivity tools
  • Harvey Academy for on-demand training
  • ROI calculator for law firms and in-house teams

About Harvey

Contact SalesAdvancedAPI availableWeb · Mobile · API

Harvey is a unified AI platform built exclusively for legal and professional services. It offers a suite of products—Assistant, Vault, Knowledge, Agents, Contract Intelligence, Command Center, Shared Spaces, and Harvey Mobile—to help law firms and in-house teams automate complex legal workflows. Harvey Agents execute legal work end-to-end, including due diligence, contract analysis, and litigation support. The platform integrates with tools like Slack, Microsoft Teams, Relativity, iManage, NetDocuments, SharePoint, Google Drive, Outlook, Word, and Excel. Its ecosystem also embeds legal intelligence directly within Microsoft 365. Harvey provides Harvey Academy for on-demand training and an ROI calculator. Unlike general-purpose LLMs, Harvey's specialization in legal contexts and secure, agentic workflows make it a tailored alternative for firms seeking precision and compliance. Pricing is enterprise-only, custom-quoted.

Behind the Verdict

Harvey is purpose-built for legal, not a retooled chatbot. Its agents can handle entire due diligence workflows or contract reviews end-to-end, which is rare even among legal AI tools. The integration with Microsoft 365 means lawyers stay in Word and Outlook—no new UI to learn. The platform is secure by design, with data residency options and SOC 2 compliance, which matters for law firms bound by confidentiality. However, the enterprise-only pricing puts it out of reach for solo practitioners and small firms. You likely need a minimum of 25-50 seats to get a quote. Compared to Lexis+ AI or CoCounsel, Harvey offers deeper automation and customization, but at a higher cost and with a longer deployment timeline. We'd recommend it for mid-sized to large firms and in-house teams that are ready to commit to an AI-first workflow. For smaller teams, a tool like ChatGPT Enterprise might suffice for simpler tasks, though without legal-specific guarantees. Harvey Academy is a nice perk for training, but it's not a free trial—you need a full subscription.

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Real-world workflow fit

Concrete scenarios for the personas Harvey actually fits — and what changes day-one when you adopt it.

In-house counsel

Reviewing 50 vendor contracts for compliance with company playbooks

Outcome: Harvey Assistant flags non-standard clauses and suggests edits, cutting review time by 60%

Litigation associate

Analyzing 10,000 documents for discovery responses

Outcome: Harvey Vault and Agents prioritize key evidence and generate privilege logs, reducing manual review from weeks to days

Mid-sized firm partner

Conducting due diligence for a cross-border merger

Outcome: Harvey Agents automate contract analysis, regulatory checks, and generate a due diligence report in hours

Use Cases

Models Under the Hood

Fable 5 (June 2026)

as of 2026-07-06

Limitations

  • Pricing is only enterprise, custom-quoted, with no self-serve or free tier, making Harvey inaccessible for small firms.
  • Setup and training required for effective AI use; some features may overlap with existing tools.
  • Integration depth varies by partner.
  • Only mobile web access, no native mobile app.

as of 2026-06-29

Hidden costs & gotchas

What the public pricing page doesn't put in bold. Captured from pricing-page footnotes, contract terms, and recurring complaints.

  • Enterprise-only custom pricing means no upfront cost transparency—you'll need to negotiate a contract before knowing the total.
  • Setup and onboarding may require dedicated training time for your team, increasing initial costs beyond the license fee.
  • Integration depth with certain DMS or e-discovery tools may require additional professional services or custom configuration.
  • No free trial or self-serve tier forces you to commit to a sales process just to evaluate the platform.

Where the pricing makes sense

The company stage and team size where Harvey's pricing actually pencils out — and where peers do it cheaper.

Harvey's enterprise-only custom pricing targets large law firms and in-house teams with dedicated budgets. For smaller firms, cheaper alternatives like Lexis+ AI or generic LLMs (ChatGPT, Claude) offer lower entry points but lack Harvey's agentic legal workflow automation.

Setup time & first value

How long it actually takes to get something useful out of Harvey — broken out by persona, not the marketing-page minute.

For firms, initial setup (tenant configuration, data ingestion, training) typically takes 2-4 weeks. Individual users get value from Assistant within days. Harvey Academy provides on-demand training to accelerate adoption.

Switching to or from Harvey

How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.

Migrating in
  • From LexisNexis or Westlaw: manually export research folders and documents; Harvey Knowledge can ingest them for continued access.
  • From generic LLMs (ChatGPT, Claude): migrate saved prompts and templates; Harvey's Assistant can replicate with legal-specific grounding.
Migrating out
  • To Lexis+ AI: export Harvey documents and research history; manual re-upload needed as direct export not supported.
  • To generic LLM: download all files from Vault and export chat logs; no automated migration tool.

Integrations

SlackMicrosoft TeamsRelativityiManageNetDocumentsSharePointGoogle DriveOutlookWordExcel

Resources & Guides

Tools that pair well with Harvey

Common stack mates teams adopt alongside Harvey, with the specific reason each pairing earns its keep.

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