Harvey AI, and the alternatives

What Harvey does, who it suits, what the alternatives offer, and where Claren fits for your team.

ScreenCloudTelecom Infrastructure PartnersKao DataEasyParkdryrobeGeorgia United Credit UnionnLightenMack Real Estate Group

Comparison · Updated 17 October 2026 · By the Claren team

The short answer

  • Harvey is a legal AI platform of modules (Agents, Vault, Knowledge, Spaces and more) for law firms and in-house teams, sold by custom quote.
  • Reviews centre on its cost and terms: estimates of about $1,200 per seat per month, a reported 20-seat minimum and 12-month contracts.
  • The main alternatives are Legora, Spellbook and Anthropic's Claude for Legal. Each helps a lawyer work; none takes the work off the team.
  • Claren is built as AI employees for in-house teams: they take requests from the business, do the work and hand it back finished.

What is Harvey AI?

A legal AI platform of modules, sold to law firms and in-house teams.

Harvey is a legal AI platform. It describes itself as built for "the world's top law firms and in-house legal teams", and it is sold as a set of modules around a shared core: agents for multi-step tasks, a vault for documents, legal research, shared workspaces, and add-ins for Word and Outlook.

It runs on models from several providers (Anthropic, OpenAI and Google), with an Auto setting that picks one per task. Lawyers use it in a web app, hosted in the US, the EU or Australia, or from inside Word and Outlook. It connects to iManage and NetDocuments, the document systems law firms run on.

The useful way to understand Harvey is by what it is organised around: the law-firm matter. Work arrives as a matter, a lawyer opens it, and Harvey's modules help that lawyer research, draft and review faster. That shape decides who it suits.

What Harvey does

Eight modules, each one driven by a lawyer.

  1. Agents. Multi-step tasks, carried out on a lawyer's instruction.
  2. Vault. Store documents and analyse them in bulk.
  3. Knowledge. Legal, regulatory and tax research.
  4. Spaces. Shared workspaces for working with co-counsel, with ethical walls between matters.
  5. Contract Intelligence. Analysis across a set of contracts.
  6. Horizon Scanning. Tracking of regulatory change.
  7. Command Center. Usage analytics across the licence.
  8. Intake and Legal Work Orchestration. Marked new on Harvey's site, and aimed at in-house teams.

How Harvey is sold

By custom quote, with seat minimums and annual contracts reported.

Harvey doesn't publish prices. It sells by quote, and reviews report minimum licence counts and 12-month contracts. LawXYAI estimates about $1,200 per seat per month with a 20-seat minimum, about $288,000 a year to start. Vaquill, itself a legal AI vendor, estimates $1,200 to $2,000 or more per seat. Both are estimates.

On security, Harvey lists SOC 2 Type II, ISO 27001, ISO 27701, ISO 42001 and AIUC-1, with SAML single sign-on, audit logs and IP allow-listing.

The legal AI pricing guide sets Harvey's estimates beside Legora's, Spellbook's and Claren's published plans, with a worked example for a five-person in-house team.

What Harvey AI reviews say

Mostly about cost, terms and fit. Read who wrote them.

Search for Harvey reviews and most of what comes back is about price, because Harvey doesn't publish one. LawXYAI's review asks whether it is worth $288,000 a year for legal teams. Other guides estimate per-seat costs, seat minimums and contract terms.

Read the bylines. Several of the guides that rank for Harvey's pricing and reviews are written by other legal AI companies, and many repeat each other's figures. Searches for Harvey's competitors return directories and analyst lists with little guidance for a buyer.

What the reviews rarely ask is the question that matters most for an in-house team: once it is bought, who does the work? Harvey's modules are tools. A lawyer opens each one, gives it the task, checks the result and files it. For a firm with many lawyers, that is the point. For an in-house team with more requests than lawyers, it is the problem.

Who Harvey suits

Firms with lawyers free to drive a large toolkit.

Harvey suits a law firm that wants one platform for research, drafting and document review across many practice areas, with ethical walls between matters and space to work with co-counsel. It suits firms that already run on iManage or NetDocuments, and that have enough lawyers to fill the reported 20-seat minimum.

It is less suited to an in-house team. In-house work doesn't arrive as a matter. It arrives as a message from sales about a customer's paper, a renewal nobody flagged, a supplier asking for the DPA back by Friday, and twenty NDAs a week from across the business. Somebody has to notice each request, pick it up, do it against the team's positions, send it back and file it. It is not suited to in-house intake: even its intake module hands each request back to a lawyer to drive.

The alternatives to Harvey

Four tools in-house teams weigh against it.

  1. Legora. A legal workspace built around an Agent, Tabular Review (one grid that pulls the same answers from many documents) and Workflows, with research, Word and Outlook add-ins, a mobile app and a client Portal. Sold to firms and in-house teams by quote. See Harvey vs Legora.
  2. Spellbook. Contract drafting and review inside Microsoft Word: redlines, playbooks, market comparison and ACM for intake and renewals. Contracts only, with no litigation or research. Sold by quote, with a 7-day free trial.
  3. Claude for Legal. Anthropic's twelve practice-area plugins and twenty-three connectors on its general Claude model, with tracked-change redlines in Word. Each lawyer sets it up in their own Claude. See Claude for legal.
  4. Claren. AI employees for in-house legal teams. Envoys take requests from Slack and the Claren app, review against the team's playbook, redline in Word and keep the team's contract records. Published per-seat plans.

Harvey, ChatGPT and Claren, side by side

A legal toolkit, a general assistant, and a legal team that works for you.

ClarenHarveyChatGPT
Built forIn-house legal teamsLaw-firm mattersEveryone
How the work gets doneAI employees hand back finished workModules the lawyer drivesAnswers the lawyer copies out
Takes the team's requestsFrom Slack and the appThrough an intake moduleAnswers whoever asks it
Your playbook, applied to every contract✓YesPer workflow—No
Redlines in WordTracked changes, a comment on every changeWord add-inText to paste into Word
Builds trackers and apps on your data✓Yes—No—No

— Not listed on their own site.

Why in-house teams choose Claren

Not a better toolkit. A team that does the work.

Every tool in that table, Harvey included, makes a lawyer faster. Claren is built the other way round. It gives the team envoys: AI employees, each with its own computer and its own memory, that take a request, do the work and hand it back finished.

Envoys take requests from the Claren app or straight from Slack, where the business already asks. They review every contract against the team's playbook and hand back tracked-change redlines in Word, with a comment on every change, fallback positions applied and a summary of what's off-playbook. They file each contract and its terms in the team's datastore, and build the trackers and dashboards the team needs on top of it.

Routines run on a schedule or when a Slack message lands: renewals checked each morning, every contract in a channel read and triaged. Envoys pass work to each other, and ask before anything leaves the team. The playbook goes in once, and every envoy follows it.

The results are measured in hours. Contracts come back redlined, data rooms come back indexed, renewals get flagged before they roll. The team gets hours back every week, from the first month.

“Claren allows our legal team to focus on strategic priorities while empowering the wider organisation.”
Jamie ToddCommercial Counsel, ScreenCloud

The verdict, tool by tool

Harvey and its alternatives, for an in-house legal team.

Harvey

A broad toolkit built around law-firm matters. In-house teams get the toolkit, and still do the work.

A legal AI platform of modules: Agents, Vault, Knowledge, Spaces, Contract Intelligence, Horizon Scanning and Command Center, with Word and Outlook add-ins.

Strengths

  • A wide set of modules, from research to regulatory change.
  • Runs on models from Anthropic, OpenAI and Google.
  • SOC 2 Type II, ISO 27001, ISO 27701, ISO 42001 and AIUC-1.

Where it falls short

  • Not suited to in-house intake: it is built around law-firm matters, not the stream of requests a legal team gets from the business.
  • A toolkit, not a team: every module waits for a lawyer to drive it.
  • Priced for a firm's bench: a reported 20-seat minimum and 12-month contracts.
Best for
Law firms that want a large research and drafting toolkit, and have the lawyers free to drive it.

Legora

Suited to bulk review for firms. For in-house work that arrives one request at a time, it is the wrong shape.

A legal workspace built around an Agent, Tabular Review and Workflows, with research, Word and Outlook add-ins, a mobile app and a client Portal.

Strengths

  • Tabular Review, for the same questions across many documents.
  • Word and Outlook add-ins and a mobile app.
  • SOC 2 Type II, ISO 27001 and ISO 42001.

Where it falls short

  • The wrong shape for in-house intake: built around documents in bulk, not requests one at a time.
  • An agent the lawyer runs, not an employee.
Best for
Firms that review large document sets on deals.

Spellbook

Drafting help for one lawyer in Word. Not a team, and not built to be one.

Contract review, drafting, comparison and playbooks inside Microsoft Word, with ACM for intake, a repository and renewal monitoring.

Strengths

  • Works where contract lawyers already are, in Word.
  • Playbooks for contract review.
  • SOC 2 Type II.

Where it falls short

  • A drafting assistant, not an employee: each lawyer still opens the document and finishes the work.
  • Contracts only: no litigation and no legal research.
Best for
Individual lawyers who want drafting help inside Word, and nothing more.

Claude for Legal

A general model with legal plugins added. Turning it into a working legal team is left to you.

Twelve practice-area plugins and twenty-three connectors on Anthropic's Claude, with tracked-change redlines in Word and scheduled tasks in Cowork.

Strengths

  • Runs on Anthropic's general-purpose models.
  • Open-source plugins a technical team can adapt.

Where it falls short

  • Not a legal team out of the box: each lawyer sets it up and works alone, in their own Claude.
  • Not suited to in-house intake: it answers whoever asks it, but doesn't pick up, route or track the team's requests.
Best for
Lawyers happy to set up and run their own AI, one person at a time.

Claren

The only tool here built as AI employees for in-house legal teams: they take the request, do the work and hand it back finished.

Claren gives a legal team envoys: AI employees, each with its own computer and memory. They take work from the app or from Slack, follow the team's playbook, redline in Word with tracked changes, keep the team's contracts and terms in a datastore, and run routines on a schedule.

What it does for an in-house team

  • Built for in-house legal teams from the start.
  • AI employees, not a toolkit. Envoys take a request, do the work and hand it back finished.
  • Intake where the business already asks: in Slack and the Claren app.
  • Your playbook goes in once, and every envoy follows it on every contract.
  • Models from OpenAI, Anthropic and Google, chosen per envoy, never trained on your data.
  • SOC 2 Type II and ISO/IEC 27001:2022. Data in the US, UK or EU.
Best for
In-house legal teams that want work taken off their plate, not just made faster.

See Claren in action.

Choosing a Harvey alternative

Four questions settle it.

  1. Are you a firm, or a legal team inside a business? Harvey and Legora are shaped around law-firm matters. An in-house team should start from how its own work arrives.
  2. Do you need a faster lawyer, or the work done? Harvey, Legora, Spellbook and Claude each make the lawyer at the keyboard faster. Claren's envoys do the work and hand it back for sign-off.
  3. Where do requests come from? If they come from the business, in Slack and email, you want something that picks them up there. Claren's envoys do.
  4. Who keeps the records? With a tool, the filing is yours. Claren's envoys file every contract and its terms as they go, and build your trackers on top.

Starting with Claren

One envoy, one kind of contract, one Slack channel.

Most in-house teams start with the work that repeats: NDAs from sales, supplier contracts, the DPA a customer wants back by Friday. Put the team's playbook in once, point an envoy at the channel where those requests land, and count the hours that come back.

Claren's plans are published, from a free plan for one member to Team for three or more, with usage included. Teams that need zero data retention and single sign-on move to Enterprise.

More comparisons

Questions

What is Harvey AI?

A legal AI platform for law firms and in-house teams, made of modules: Agents for multi-step tasks, Vault for documents, Knowledge for research, Spaces for shared work, Contract Intelligence, Horizon Scanning and Command Center, with Word and Outlook add-ins.

What are the best Harvey AI alternatives?

Legora for bulk document review at firms, Spellbook for drafting help in Word, and Claude for Legal for lawyers who want to run their own AI. For in-house teams that want the work done rather than a faster way to do it, Claren gives the team AI employees.

Who are Harvey AI's competitors?

Legora is the closest, as another platform sold to firms and in-house teams. Spellbook competes on contract work in Word. General assistants with legal plugins, such as Claude for Legal, compete for individual lawyers. Claren competes for in-house teams, with AI employees rather than tools.

Is Harvey AI worth it for an in-house team?

For a small in-house team, a reported 20-seat minimum means paying for seats nobody uses, and every module still needs a lawyer to drive it. In-house teams usually get more from AI employees that pick up requests and hand back finished work, which is what Claren is built for.

How much does Harvey AI cost?

Harvey doesn't publish prices. LawXYAI estimates about $1,200 per seat per month with a 20-seat minimum, about $288,000 a year to start, and 12-month contracts are reported. See the legal AI pricing guide for the full comparison.

What AI models does Harvey use?

Harvey says it is multi-model, using Anthropic, OpenAI and Google, with an Auto setting that picks per task. Claren's envoys also run on OpenAI, Anthropic and Google models, chosen per envoy.

Is Harvey AI secure?

Harvey lists SOC 2 Type II, ISO 27001, ISO 27701, ISO 42001 and AIUC-1, with SSO, audit logs and IP allow-listing. Claren holds SOC 2 Type II and ISO/IEC 27001:2022, keeps data in the US, UK or EU, keeps an audit trail of every user action and never trains models on your data.

What's the difference between Harvey and Claren?

Harvey gives lawyers a toolkit built around law-firm matters. Claren gives in-house teams AI employees: intake from Slack, one shared playbook, routines on a schedule, tracked-change redlines in Word and every contract filed in the team's records.

See Claren in action.

Claren

Put your first AI employee to work.