Harvey vs Legora, compared

The two legal AI platforms side by side, through an in-house team's eyes, and where Claren fits for your team.

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Comparison · Updated 17 October 2026 · By the Claren team

The short answer

  • Harvey and Legora are legal AI platforms sold to law firms and in-house teams, both by custom quote.
  • Harvey is a broad toolkit: Agents, Vault, Knowledge research, Spaces and add-ins for Word and Outlook. Legora centres on its Agent, Tabular Review and Workflows.
  • Both are shaped around law-firm matters, driven by a lawyer. For in-house work, the choice between them matters less than that.
  • Claren is built as AI employees for in-house teams: they take requests from the business, do the work and hand it back finished.

Harvey and Legora, in brief

Two platforms with a lot in common, and a few real differences.

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

Legora says it is built for "firms and in-house teams", and sells into segments from law firms and mid-sized firms to in-house, in-house SMB, the public sector and private equity. Its core is an agent, Tabular Review and workflows, with research, an editor and add-ins around them.

Both sell by custom quote. Both hold SOC 2 Type II and ISO 27001. Both connect to iManage and NetDocuments, the document systems law firms run on. Most head-to-head pages stop at that point and compare them module by module. This one does that first, then asks the question an in-house team should ask: is either of them built for the way in-house work arrives?

What Harvey does

A toolkit of 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 and Horizon Scanning. Analysis across a contract set, and tracking of regulatory change.
  6. Command Center. Usage analytics across the licence.
  7. Intake and Legal Work Orchestration. Marked new on Harvey's site, and aimed at in-house teams.

What Legora does

A workspace built around an agent and a grid.

  1. Agent. Carries out legal tasks on a lawyer's instruction.
  2. Tabular Review. One grid that pulls the same answers from many documents: every change-of-control clause in a data room, every termination right in a supplier set.
  3. Workflows. Repeatable legal processes, set up and run by the team.
  4. Legal Research and Editor. Research, and a place to draft and edit.
  5. Add-ins and mobile. Word and Outlook add-ins, and a mobile app.
  6. Portal. A space for collaborating with clients, which says a good deal about who it is built for.
  7. Skills, Monitors, Lists and Intake. Newer modules, along with an integration ecosystem Legora calls "Legora aOS".

Harvey vs Legora, head to head

Deployment, models, security and reported pricing.

ComparedHarveyLegora
Built for"The world's top law firms and in-house legal teams""Firms and in-house teams", in segments from law firms to private equity
CoreAgents, Vault, KnowledgeAgent, Tabular Review, Workflows
Where you use itWeb app, Word and Outlook add-insWeb app, Word and Outlook add-ins, mobile app
Document systemsiManage, NetDocumentsiManage, NetDocuments (over MCP)
ModelsAnthropic, OpenAI and Google, with Auto choosing per taskNot published; reported to be built mostly on Claude
DataUS, EU and AU regionsModels reported to run in the customer's region, with zero data retention at providers
CertificationsSOC 2 Type II, ISO 27001, ISO 27701, ISO 42001, AIUC-1SOC 2 Type II, ISO 27001, ISO 42001
PricingBy quote. Estimated at about $1,200 per seat per month, 20-seat minimumBy quote. Estimated at about $3,000 per user per year, 10-seat minimum

Where they differ

Breadth against focus.

Harvey is the broader toolkit. It has more modules, a research product that covers regulatory and tax work, and a longer list of certifications, including ISO 27701 for privacy and AIUC-1. It publishes how it uses models: several providers, with an Auto setting that picks one per task. It is suited to a firm that wants one platform for research, drafting and document review across many practice areas.

Legora is the more focused workspace. Its centre of gravity is Tabular Review, which suits deal teams pulling the same facts from hundreds of documents. It adds a mobile app and a client portal, and it doesn't publish which models it uses. It is suited to a firm that does a lot of bulk review and wants its clients in the same space.

Pricing estimates put Harvey well above Legora per seat, and both report seat minimums. The legal AI pricing guide has the figures and where they come from.

For a law firm, those differences decide the choice. For an in-house team, they mostly don't, because both platforms share the same shape.

Both are built around law-firm work

Matters, documents and a lawyer at the keyboard.

Look at what the two platforms are organised around. Harvey has Spaces with ethical walls between matters and work for co-counsel. Legora has a client Portal and a grid for data rooms. Both plug into iManage and NetDocuments. These are the tools of a firm: work arrives as a matter, a lawyer opens it, and the platform helps that lawyer get through it faster.

In-house work doesn't arrive that way. 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. Nobody opens a matter. Somebody has to notice the request, pick it up, do it against the team's positions, send it back and file it, whether or not a lawyer has a free hour.

Both vendors have started to address this. Harvey's Intake and Legal Work Orchestration are marked new and aimed at in-house teams, and Legora lists Intake and an in-house segment. But intake added to a firm's toolkit is still a front door to a lawyer's queue. The lawyer still drives every module behind it.

What an in-house team actually needs

Five things, in the team's own terms.

  1. Requests picked up where the business asks. In Slack, in email, in the channel sales already uses. Not a new portal the business has to learn.
  2. Work done, not drafts to finish. A small team doesn't need a faster way to do every NDA itself. It needs the NDA done, against its playbook, and handed back for sign-off.
  3. One playbook for the whole team. The team's positions and fallbacks, written once and applied the same way to every contract, whoever asked for it.
  4. Records that keep themselves. Every contract, its key terms and its renewal date, filed as the work is done, so the team can answer "what did we agree with this supplier?" in seconds.
  5. Work that starts on its own. Renewals checked each morning. Every contract that lands in a channel read and triaged. The lawyer joins at the point of judgement.

Claren, Harvey and Legora, side by side

Two platforms for lawyers, and one legal team that works for you.

ClarenHarveyLegora
Built forIn-house legal teamsTop law firms and in-house teamsFirms and in-house teams
Shaped aroundRequests from the businessLaw-firm mattersMatters and bulk review
How the work gets doneAI employees take the request and hand it back finishedAgents and modules the lawyer drivesAgent, workflows and grids the lawyer runs
IntakeFrom Slack and the Claren appIntake module (marked new)Intake module
Works in WordTracked-change redlines, a comment on every changeWord add-inWord add-in
Builds trackers and apps on your data✓Yes—No—No
Data regionsUS, UK or EUUS, EU or AUCustomer's region (reported)
ModelsOpenAI, Anthropic and Google, per envoyAnthropic, OpenAI and Google, with AutoNot published
SOC 2 Type II and ISO 27001✓Yes✓Yes✓Yes
PricingPublished plansCustom quoteCustom quote

— Not listed on their own site.

Where Claren fits

Built the other way round: around the request, not the matter.

Claren doesn't give a lawyer a toolkit. It gives the team envoys: AI employees, each with its own computer and its own memory. They take requests from the Claren app or straight from Slack, 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.

As they work, envoys file each contract and its terms in the team's datastore, and build the trackers, dashboards and review screens the team needs on top of it. Routines run on a schedule or when a Slack message lands, so renewals get checked and new paper gets read without anyone asking. Envoys pass work to each other, and ask before anything leaves the team.

Teams sit inside Claren the way they sit inside a legal function: managers, members and private teams, each with its own envoys, shared folder and datastore. The playbook goes in once, and every envoy follows it.

That is the difference between a platform that makes each lawyer faster and work taken off the team. Acquisition diligence across a whole data room, read and indexed, with every file reviewed.

“Claren saved my life for 2 months as a one man team. I was solo through an acquisition and needed help reviewing and redlining 1,420 files.”
Rich HolmesGeneral Counsel, Passport

The verdict, tool by tool

How Harvey, Legora and Claren compare for an in-house legal team.

Harvey

A broad toolkit for law firms. In-house teams get the same toolkit, and the same need for a lawyer to drive it.

A legal AI platform of modules: Agents, Vault, Knowledge research, Spaces, Contract Intelligence, Horizon Scanning and Command Center, with Word and Outlook add-ins and iManage and NetDocuments integrations. Intake and Legal Work Orchestration are new.

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, with SSO and audit logs.

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 open it and drive it.
  • Priced for a firm's bench: a reported 20-seat minimum sets the bill for a small team.
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 Legal Research, an editor, 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: the work waits for someone to start it.
  • Doesn't publish which models it uses.
Best for
Firms that review large document sets on deals and want their clients in the same workspace.

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.
  • The team's own records, built and kept current by envoys, with trackers and apps on top.
  • SOC 2 Type II and ISO/IEC 27001:2022. Data in the US, UK or EU, never used to train models.
Best for
In-house legal teams that want work taken off their plate, not just made faster.

See Claren in action.

Harvey, Legora or neither?

Four questions settle it.

  1. Are you a firm, or a legal team inside a business? A firm choosing between Harvey and Legora should weigh breadth against Tabular Review. An in-house team should ask whether it wants a firm's platform at all.
  2. Where do your 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.
  3. Do you need a faster lawyer, or the work done? Harvey and Legora make the lawyer at the keyboard faster. Claren's envoys do the work and hand it back for sign-off.
  4. Who keeps the records? With a toolkit, the filing is yours. Claren's envoys file every contract and its terms as they go, and build your trackers on top.

If your outside counsel already uses one

The firm's platform and the team's employees do different jobs.

Many in-house teams instruct firms that run on Harvey or Legora. That suits the work that goes out: the litigation, the large transaction, the specialist advice. It doesn't touch the work that stays in, which is most of it.

Claren takes the work that stays in: the NDAs, supplier contracts, renewals, policies and the questions from across the business. Envoys pick it up from Slack, do it against the team's playbook and hand it back done, so the lawyers spend their hours on judgement and the outside counsel budget goes further.

More comparisons

Questions

What's the difference between Harvey and Legora?

Harvey is the broader toolkit: Agents, Vault, Knowledge research, Spaces and more, on models from Anthropic, OpenAI and Google. Legora is a more focused workspace built around its Agent, Tabular Review and Workflows, with a mobile app and a client portal. Both are shaped around law-firm matters and sold by quote.

Is Legora better than Harvey?

It depends on the firm. Legora suits teams doing a lot of bulk document review; Harvey suits firms that want one platform across research, drafting and review. For an in-house team, both share the same limit: they help a lawyer work faster, and the lawyer still does the work. Claren's envoys do it for the team.

Which is better for in-house legal teams, Harvey or Legora?

Both now list intake and an in-house offering, but both are built around law-firm work. In-house teams need requests picked up from the business, one playbook for everyone and records kept as the work is done. That is what Claren is built for.

How much do Harvey and Legora cost?

Neither publishes prices. Estimates put Harvey at about $1,200 per seat per month with a 20-seat minimum, and Legora at about $3,000 per user per year with a 10-seat minimum. See the legal AI pricing guide for the sources. Claren publishes its plans.

Do Harvey and Legora use the same AI models?

Harvey says it is multi-model, using Anthropic, OpenAI and Google, with an Auto setting that picks per task. Legora doesn't publish its model list; TechCrunch reports it is built mostly on Claude. Claren's envoys run on OpenAI, Anthropic and Google models, chosen per envoy.

Are Harvey and Legora secure?

Both hold SOC 2 Type II, ISO 27001 and ISO 42001; Harvey also lists ISO 27701 and AIUC-1. Claren holds SOC 2 Type II and ISO/IEC 27001:2022, keeps data in the US, UK or EU, keeps each organisation's data apart and never trains models on it.

What is Legora's Tabular Review?

A grid that asks the same questions of many documents at once and shows the answers in rows and columns. It suits data rooms and contract sets on a deal. Claren's envoys go further for an in-house team: they file every contract's terms in a datastore the team keeps.

Is there an alternative to Harvey and Legora built for in-house teams?

Claren. It gives in-house legal teams AI employees that take requests from Slack and the Claren app, review against the team's playbook, redline in Word and keep the team's contract records, with published per-seat prices.

See Claren in action.

Claren

Put your first AI employee to work.