Legal · head to head
Harvey vs Spellbook
Harvey
Legal
AI research and drafting platform for large law firms, sold on enterprise-only seat pricing with no self-service tier and reported contracts from roughly $50,000 to $360,000 a year
- From
- On request
- Rated
- -
Spellbook
Legal
Contract drafting and review assistant inside Microsoft Word
- From
- On request
- Rated
- -
The short version
- Each has a real cost: Harvey there is no published pricing anywhere, and no self-service tier at all, so even qualifying for a quote requires an enterprise sales process most small and mid-size firms cannot justify starting.; Spellbook it publishes no accuracy figure for its own output and no independent evaluation exists, so a firm must run its own assessment on real agreements.
- They diverge on capability: Harvey covers Legal research assistant, Spellbook covers Word add-in drafting.
- Prices and features above were last checked on 1 September 2026.
Where they differ
Only the attributes on which Harvey and Spellbook actually diverge.
Identical on both: starting price (On request), pricing model (quote), free tier (No), user rating (Not yet rated), category (Legal).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Harvey
- Legal research assistant
- Contract analysis
- Document drafting
- Workflow-specific tools
- DMS integration
- Firm-tuned deployment
Only in Spellbook
- Word add-in drafting
- Contract review
- Benchmarks against market standards
- Question answering
- Named model providers
What people use each for
The jobs each tool is most often brought in to do.
Harvey
- An AmLaw 100 or 200 firm wanting AI-assisted due diligence review across large contract setsnot Spellbook
- A large corporate legal department needing firm-tuned drafting on its own precedent librarynot Spellbook
- A litigation practice wanting AI research assistance integrated directly with its document management systemnot Spellbook
- A firm large enough to absorb a 25-seat minimum and enterprise contract cost, evaluating AI tools at BigLaw scalenot Spellbook
Spellbook
- Transactional lawyers drafting commercial agreements in Wordnot Harvey
- In-house teams reviewing inbound contracts without a contract lifecycle systemnot Harvey
- Lawyers who want a first pass at redlines before applying their own judgementnot Harvey
- Firms that need to know which model providers process their documents before adopting an AI toolnot Harvey
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Harvey
- There is no published pricing anywhere, and no self-service tier at all, so even qualifying for a quote requires an enterprise sales process most small and mid-size firms cannot justify starting.
- 25-seat minimums put it structurally out of reach for solo, boutique and most mid-size firms regardless of interest.
- Reported additional platform fees on top of the headline per-seat licence mean the effective total cost is materially higher than the quoted seat price alone suggests.
- As a well-funded, fast-growing AI vendor, its product and pricing model are still evolving quickly, which is a real risk for a firm signing a multi-year enterprise contract now.
- Being trained and marketed specifically for BigLaw workflows means smaller firms evaluating it are comparing themselves against a product that was not built or priced with them in mind.
Spellbook
- It publishes no accuracy figure for its own output and no independent evaluation exists, so a firm must run its own assessment on real agreements.
- The ten times more accurate claim originated in a funding announcement as a statement of intent and has no methodology, dataset or baseline behind it.
- Contract text is processed by third-party model providers, so despite the zero data retention agreements this still needs checking against client confidentiality terms and outside counsel guidelines.
- Pricing is not published, so seat cost cannot be compared against competitors without booking a demo.
- It is a drafting assistant rather than a contract lifecycle system, so it does nothing for execution, obligation tracking or renewals.
Pricing, plan by plan
Harvey
On request- Enterprise (BigLaw)$undefined/year
- No self-service signup, quote-only via sales
- 25-seat minimums commonly reported
- Reported per-seat cost roughly $1,000-2,000/month depending on usage tier
Spellbook
On request- Spellbook$undefined/year
- Priced by the number of seats on the licence
- Rates quoted after a demo, not published
- Seven day free trial, free access for academic use
Which should you pick?
Choose Spellbook if
- You need word add-in drafting.
- You work on Windows, macOS, Web.
- You also want contract review.
Questions people ask
- Is Harvey or Spellbook better?
- Neither clearly leads. Harvey starts at On request and Spellbook at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Harvey or Spellbook?
- Harvey starts at On request and Spellbook at On request.
- Does Harvey or Spellbook run on more platforms?
- Harvey runs on Web. Spellbook runs on Windows, macOS, Web.
- What is Harvey best used for?
- Harvey is most often used for an amlaw 100 or 200 firm wanting ai-assisted due diligence review across large contract sets, a large corporate legal department needing firm-tuned drafting on its own precedent library, a litigation practice wanting ai research assistance integrated directly with its document management system, a firm large enough to absorb a 25-seat minimum and enterprise contract cost, evaluating ai tools at biglaw scale. Of those, an amlaw 100 or 200 firm wanting ai-assisted due diligence review across large contract sets and a large corporate legal department needing firm-tuned drafting on its own precedent library are not what Spellbook is typically brought in for.
- What can Harvey do that Spellbook cannot?
- Harvey covers Legal research assistant, Contract analysis, Document drafting, Workflow-specific tools. Spellbook covers Word add-in drafting, Contract review, Benchmarks against market standards, Question answering.
Answered from the vendors’ own pages
Harvey: Can a small firm buy Harvey?
In practice, no. There is no self-service tier, and reported 25-seat minimums and six-figure contract values put it out of reach for most small and mid-size firms.
Spellbook: Is Spellbook's accuracy independently verified?
No. It publishes no accuracy figure of its own, and no third-party evaluation has been published. It did not participate in the Vals Legal AI Report, the main independent lawyer-baselined benchmark. Evaluate it on your own agreements during the trial.
Harvey: How much does Harvey actually cost?
Nothing is published. Third-party reporting estimates $1,000-2,000 per seat per month and enterprise contracts from roughly $360,000 to over $1.5 million a year including platform fees.
Spellbook: Which models does it use and where does our text go?
Spellbook names OpenAI GPT-5 and Anthropic Claude models, and states it has zero data retention agreements with both providers. Confirm the current terms and subprocessor list against your client confidentiality obligations before use.
Harvey: Does Harvey replace Westlaw or LexisNexis?
No. It is an AI research, drafting and review layer, typically deployed alongside rather than instead of a primary legal research database.
Spellbook: What does it cost?
Pricing is per seat but is not published. The vendor quotes it after a demo, so the seat rate cannot be compared with competitors in advance.
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