Harvey
Harvey is the agentic AI platform for legal work — research, document analysis, and contract review under enterprise governance.
Harvey is the platform bet in legal AI, and the $550M raise at a $15.5B valuation plus 3,500+ legal organizations make it hard to write off as a thin wrapper over a foundation model. The honest caveats are fit, not quality: Harvey expects your document corpus and playbooks before it pays off, and the buyer is an organization with a procurement cycle, not a solo practitioner. If you want value in week one without onboarding work, test a narrower tool first.
Verified 2d ago · liveness 73/100 · cite: rightaichoice.com/tools/harvey
- Law firms and legal departments evaluating AI for high-volume document review, due diligence, and discovery
- In-house teams managing contract portfolios, intake, and outside counsel relationships
- Litigation teams that want manual effort cut while strategy stays with lawyers
- Professional service networks collaborating with clients and co-counsel under ethical walls
- Solo practitioners and very small firms without a procurement cycle or volume to justify onboarding
- Teams wanting AI for accounting, HR, or other non-legal work
- Anyone expecting value without loading their own document corpus, playbooks, and workflows
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Skip Harvey if you are a solo practitioner or very small firm with no procurement cycle and no document corpus to onboard — the platform's value starts once your own playbooks and documents are loaded.
Getting value requires an onboarding investment: Vault, Contract Intelligence, and Memory only pay off once your own document corpus and playbooks are loaded.
Evaluate it against the volume of billable document work your firm runs — the ROI calculators on Harvey's own site are the intended starting point — and against lighter legal AI tools like Spellbook or CoCounsel for narrower, single-workflow needs.
In short
Harvey — Harvey is the agentic AI platform for legal work — research, document analysis, and contract review under enterprise governance. Best for Law firms and legal departments evaluating AI for high-volume document review, due diligence, and discovery, In-house teams managing contract portfolios, intake, and outside counsel relationships, Litigation teams that want manual effort cut while strategy stays with lawyers. Contact Sales pricing.
What's new in Harvey
Checked 8 days agoAcross the latest 1 update: 1 changelog entry.
What people actually say about Harvey — is it worth it?
We scanned public community sources for Harvey on Jul 25, 2026 and could not establish that the discussion we found is about this tool rather than something else sharing its name. Our own analysis of that scan says the posts were off-subject. Rather than publish a sentiment score built on the wrong subject, we publish nothing here and re-run the scan.
Viability Score
How well maintained and how widely used is Harvey? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →Key Features
- Agents execute complex legal work end to end with automatic task routing
- Vault: store, organize, and bulk-analyze large legal document sets
- Knowledge: research legal, regulatory, and tax questions across domains
- Contract Intelligence: negotiation insights and accelerated portfolio-wide reviews
- Horizon Scanning: track, assess, and act on regulatory changes
- Intake: capture, route, and resolve legal requests from across the business
- Legal Work Orchestration: assign, execute, and review work with agents and your team
- Spaces: shared workspaces for firms, clients, and co-counsel
- Ethical walls and governance controls for sensitive matters
- Command Center: usage analytics, benchmarking, and agentic insights
- Memory: preferences carried across the platform for consistent responses
- Harvey Mobile: capture and review work away from the desk
- Ecosystem: access Harvey where you already work, grounded in trusted sources
- Harvey II: the vendor's most powerful release, with smarter agents per Harvey
- Solution tracks for Litigation, Transactional, In-House, Law Firms, and Mid-Sized Firms
About Harvey
Harvey is an agentic AI platform built for legal and professional services, now used by 3,500+ legal organizations according to the vendor's own site. Purpose-built Agents execute complex legal work end to end, with tasks routed automatically to the right specialized agent. The company raised $550M at a $15.5B valuation and recently shipped Harvey II, described as its most powerful release, alongside two new modules: Intake (capture, route, and resolve legal requests from across the business) and Legal Work Orchestration (assign, execute, and review work with agents and your team). The platform layers matter more than any single feature. Vault stores and bulk-analyzes thousands of documents in one secure place, which is what makes due diligence and portfolio review tractable instead of manual. Knowledge handles legal, regulatory, and tax research, while Contract Intelligence surfaces negotiation insights and speeds routine reviews across a whole contract portfolio. Horizon Scanning tracks and acts on regulatory changes, and Command Center reports usage by team, practice group, and office with benchmarking against comparable organizations. Governance is the other half of the pitch. Spaces puts firms, clients, and co-counsel in shared workspaces with the ethical walls sensitive matters require, Memory carries individual preferences across the platform, and Harvey Mobile keeps work moving away from the desk. Access is regional across the US, EU, and AU. Harvey Academy supplies on-demand training, and the vendor publishes ROI calculators for both law firm and in-house buyers. Positioning: against general-purpose assistants, Harvey sells legal context plus enterprise controls; against narrower legal AI tools like Spellbook or CoCounsel, it is a broader platform with a longer ramp — expect to onboard your own document corpus and playbooks before it earns its keep. For In-House, Law Firm, and Mid-size Firm tracks plus industry solutions across healthcare, energy,
Behind the Verdict
We'd reach for Harvey when the problem is volume plus governance — diligence across thousands of documents, a contract portfolio that needs consistent review, or a firm that has to prove to clients and regulators who used AI on what matter. Vault, Spaces, and Command Center exist precisely for that combination, and no lighter tool reproduces it.Where it bites is onboarding. Harvey's value is a function of what you load into it: your corpus, your playbooks, your workflow preferences via Memory. Teams that buy it expecting ChatGPT-for-lawyers out of the box will be disappointed, and that is a scoping failure rather than a product failure.The 2025 releases sharpen the case. Harvey II promises smarter agents that handle more complex work, and the newer Intake and Legal Work Orchestration modules move Harvey from a research assistant toward the system of record for how a legal department routes and executes work. If your buyers were previously asking "why not just use a general assistant," those two modules are the strongest answer Harvey has.Pick this if you are a law firm, in-house department, or professional services network with cross-organization collaboration needs and an actual procurement process. Pass if you are a solo practitioner or very small firm watching budget, if you want AI for accounting, HR, or other non-legal functions, or if you expect results without loading your own documents and workflows.The closest alternative depends on your axis. Against Spellbook or CoCounsel, Harvey is broader and heavier — more platform, more setup, more to administer. Against general-purpose assistants, it costs more and does less outside legal, which is exactly the trade you are buying.
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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.
Loads the company's contract playbook and active contract portfolio into Vault, then runs Contract Intelligence to surface negotiation patterns and accelerate routine reviews.
Outcome: Routine contract review compresses while negotiation history stays available across the portfolio, and Memory keeps future responses consistent with the team's standards.
Uses Agents and Vault to analyze thousands of discovery documents, routing tasks to specialized agents and prioritizing key evidence.
Outcome: Manual review hours drop while strategy and judgment stay with the lawyers; a joint matter with co-counsel runs inside Spaces.
Starts with one workflow — document review in Vault — then adds Command Center to see usage across practice groups.
Outcome: The firm gets a measurable first win before expanding to Horizon Scanning, Spaces, and the full agent suite.
Use Cases
- A law firm uses Harvey Agents to automate due diligence for a merger, cutting manual review time.
- In-house counsel drafts and reviews contracts against company playbooks.
- A litigation team analyzes thousands of documents for discovery and prioritizes key evidence.
- A mid-sized firm uses Harvey Vault to securely organize and bulk-analyze case documents.
- A real estate team automates contract analysis and regulatory checks to move deals forward.
- Law firms use Spaces to collaborate with external co-counsel on joint matters.
- In-house teams use Command Center to benchmark AI usage and impact across the organization.
- A professional service network builds collaborative service models using Spaces.
Models Under the Hood
as of 2026-10-16
Limitations
- Harvey is agentic legal AI built for law firms and in-house teams, and its own pages describe modules rather than constraints.
- Regional availability is scoped US, EU, and AU.
- Integrations are framed around an Ecosystem layer that grounds answers in sources you trust rather than a public catalog of named connectors.
- The platform's value is tied to what you feed it: Vault, Contract Intelligence, and Memory only pay off once your own document corpus and playbooks are in place, which means an onboarding investment before lawyers see returns.
- The breadth of modules (Agents, Vault, Knowledge, Spaces, Command Center, Contract Intelligence, Horizon Scanning, Mobile, Ecosystem) is also a breadth of things to learn, so mid-sized teams should scope a first workflow rather than switching everything on at once.
as of 2026-10-09
Verification history
We have re-verified Harvey 18 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 18 verification passes.
Free to cite with attribution — this page re-verifies continuously.
Where the pricing makes sense
The company stage and team size where Harvey's pricing actually pencils out — and where peers do it cheaper.
Evaluate it against the volume of billable document work your firm runs — the ROI calculators on Harvey's own site are the intended starting point — and against lighter legal AI tools like Spellbook or CoCounsel for narrower, single-workflow needs.
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.
Expect an onboarding investment rather than a same-day switch: Vault, Contract Intelligence, and Memory only pay off once your document corpus and playbooks are loaded, and there are ten modules to scope. Mid-sized teams should expect to stand up one workflow first and expand from there; large firms and in-house departments with procurement cycles should plan the rollout alongside their document
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.
- →From ad-hoc general-purpose chatbot use: move recurring legal drafting and research into Harvey Agents with your own context loaded.
- →From lighter legal AI tools (e.g. Spellbook, CoCounsel): bring your document corpus into Vault to run due diligence and portfolio review at platform scale.
- →From manual document review: load case or deal documents into Vault and use Agents to prioritize evidence and cut manual review time.
- ↗To a lighter legal AI tool: export narrow single-workflow needs to a point solution if you never onboarded your document corpus.
- ↗To a general-purpose assistant: keep non-legal drafting there if your team does not need ethical walls, Spaces, or Command Center governance.
Resources & Guides
- Resourceharvey.ai
Academy
Helpful link from harvey.ai
- Resourceharvey.ai
Legal AI Resource Center: Research, Guides, and Webinars
A curated hub of Legal AI insights, including how-to guides, ROI insights, industry research, webinars, and expert videos, built to help legal leaders evaluate solutions, accelerate adoption, and deploy with confidence.
- Resourceharvey.ai
Harvey – News
The latest news from Harvey
Tutorials & Learning
YouTube returned 6 videos for “Harvey”, and we withheld 6: 6 could not be judged, because “Harvey” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Harvey.
Official links
Tools that pair well with Harvey
Common stack mates teams adopt alongside Harvey, with the specific reason each pairing earns its keep.
Casetext
Casetext is the home of CoCounsel, Thomson Reuters' AI legal assistant for research, contract analysis, and drafting.
WhisperIt
Whisperit is a Swiss-hosted AI legal workspace for voice dictation, drafting, case analysis, and cited legal research.
Lexis+ AI
Legal AI drafting and research with Shepard's citation verification built into every workflow.
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Harvey vs Writer
Harvey and Writer are both enterprise AI platforms, but they serve completely different domains. Choose Harvey if you're in legal and need deep document analysis, contract intelligence, and secure agentic workflows tailored to law firms. Choose Writer if you're in marketing or support and need brand-encoded agents that automate complex multi-step work with governance. There's no overlap — the decision hinges entirely on your industry and task complexity.
Harvey vs Rhoda Ai
These tools are not direct competitors—Rhoda AI automates physical industrial tasks with heavy-duty robots, while Harvey automates legal workflows with AI. If you run a factory or warehouse, Rhoda AI is the choice. If you are a law firm or legal department, Harvey is the obvious pick. Neither offers transparent pricing.
Harvey vs Persana Ai
Harvey and Persana AI serve completely different domains: legal vs. sales. If you're a law firm or in-house legal team needing AI for drafting, research, and contract workflow automation, Harvey is the clear choice. For sales teams or founders wanting to automate prospecting with AI agents and intent data, Persana AI offers a freemium entry and a unified platform. There's no overlap—your decision hinges on whether you work with legal documents or sales leads.
Cvwizard vs Harvey
Harvey is a specialized AI platform for legal professionals handling complex document workflows, while CVwizard is a low-cost resume builder for job seekers. If you're a law firm or in-house team needing AI-driven contract analysis and automation, Harvey is unmatched. If you need a simple, affordable tool to create a resume or cover letter, CVwizard does the job. They serve entirely different needs and budgets.
Harvey vs Workops
If you're a large law firm or in-house team handling high-volume work with enterprise security needs, Harvey's specialisation in legal AI agents and $11B backing makes it the robust choice, despite opaque pricing. For solo practitioners or small firms focused on European law and affordability, WorkOps offers a freemium entry with direct Word integration and regulatory compliance. Choose based on scale, budget, and geographic legal focus.
Harvey vs Jetwriter Ai
If you're a mid-size or large law firm needing secure, agentic legal workflows (document review, contract analysis, due diligence) with enterprise integrations, Harvey is the clear pick — but be ready for a custom price tag. For individual professionals or small teams who want a lightweight, personalized writing assistant that drafts emails, fixes grammar, and works across Gmail, LinkedIn, and helpdesk tools, Jetwriter AI's freemium model and multi-model flexibility (including the new Opus 4.8) offer immediate value. There's no overlap: Harvey automates legal work; Jetwriter AI speeds up everyday writing.
Harvey vs Proofly
If you're a law firm or legal department needing an end-to-end AI platform for contract analysis, due diligence, and litigation support, Harvey is the obvious choice—though you'll need to contact for pricing. If you're an individual writer who values privacy and just wants a no-fuss, free grammar checker running locally on Chrome, Proofly is perfect. These tools serve completely different needs; pick based on your domain and privacy requirements.
Harvey vs Rankvolt Ai
Harvey is the clear choice if you need a specialized legal AI platform for document review, contract analysis, and secure agentic workflows — it's enterprise-grade but costly. Rankvolt AI wins for marketers and founders who want automated content that targets both Google rankings and AI citations; its freemium entry and focus on AI visibility make it ideal for growth without a big budget. Choose based on your domain: law vs content marketing.
Harvey vs Welma
Harvey and Welma serve completely different needs. Harvey is a heavyweight legal AI platform for law firms automating complex workflows, with enterprise pricing and an $11B valuation. Welma is a simple, low-cost text simplification tool for students and casual readers. If you need legal document analysis and agentic workflows, pick Harvey. If you just want to understand dense text better without breaking the bank, pick Welma.
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