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Harvey vs Hebbia

Two fact sheets from our own research, side by side — pricing, platforms, API access and status re-checked by us rather than quoted from the vendors.

The short answer

Best fit
Harvey: AmLaw-scale firms rolling out one platform firmwide with EU or Australian data residency · Hebbia: Private equity, credit and banking teams running diligence across hundreds of documents at once
Trust score
About even — Harvey 90, Hebbia 90
Status
Both up at our last check (Sep 6, 2026)

From our own records as of each tool's last check. Anything we have not confirmed is left out rather than guessed. How we verify

HarveyLegal work platform for firms and in-house teamsHebbiaGrid-based AI analysis that runs the same questions across thousands of documents for finance and legal teams

Side by side

FactHarveyHebbia
CategoryLegal ResearchEnterprise Search
Pricing modelContactContact
Trust score90 / 10090 / 100
PlatformsWebWeb
CompanyHarvey AI CorporationHebbia
Last verifiedSep 6, 2026Sep 6, 2026

What our research says

Harvey

Harvey is the enterprise choice for large firms and legal departments that want one vendor to cover research, review, drafting and now intake and regulatory tracking, with the security paperwork and regional hosting those buyers require. It is not something a solo practitioner or a small firm can sign up for, and the lack of any public price means the comparison with CoCounsel or Legora happens in a sales cycle, not on a pricing page.

Pros

  • Covers the whole legal workflow, from intake to agents to document vaults, rather than one point task
  • Regional instances for the US, EU and Australia address data-residency objections up front
  • Cited answers tied back to source documents and legal content, which is the minimum for legal use
  • Well capitalised: $550M raised at a $15.5B valuation in September 2026, so vendor risk is low

Cons

  • No public pricing, trial or self-serve sign-up; every evaluation runs through sales
  • Built for enterprise procurement, so mid-size and small firms pay for scale they do not use
  • No public API or developer surface found, so it does not slot into a custom stack
  • Rapid module expansion means parts of the platform are months old and lightly proven

Hebbia

Hebbia is the tool to shortlist when a deal team needs the same forty questions answered across a data room, with every cell traceable to a source page, and the customer logos say the big banks and law firms have already bought in. It is not something an individual analyst or a small shop can simply sign up for, and with no public price the cost of entry is whatever the sales team decides it is.

Pros

  • Matrix turns document analysis into a spreadsheet-like grid that scales to thousands of files
  • Native connectors to FactSet, S&P Capital IQ, PitchBook, SharePoint and Box, not just file upload
  • Customer logos include Morgan Stanley, Centerview and Latham & Watkins, which signals the vendor passed heavy security review
  • Backed by a16z, Index Ventures, GV and Peter Thiel, so the company is unlikely to disappear mid-contract

Cons

  • No public pricing, trial or self-serve path; everything runs through a demo request
  • No legal entity, address or governing law stated on the terms page, which is unusual for an enterprise vendor
  • No public API documentation found, so integration beyond the listed connectors is a sales conversation
  • Output quality on sample pages is vendor-curated and not independently verifiable

Which one fits

Choose Harvey if you need

  • AmLaw-scale firms rolling out one platform firmwide with EU or Australian data residency
  • In-house legal teams that want intake, contract review and horizon scanning in the same system
  • Legal organisations already standardised on Microsoft tooling, given the vendor's expanding collaboration there

Choose Hebbia if you need

  • Private equity, credit and banking teams running diligence across hundreds of documents at once
  • Law firms doing contract review where each answer must cite its source page
  • Corporate strategy and research groups combining filings, transcripts and licensed data in one workspace

More comparisons

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