Legal · head to head
Harvey vs Litera
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
- -
Litera
Legal
Document lifecycle and contract intelligence platform for law firms, built through a decade of acquisitions including Kira Systems, Workshare and Doxly
- 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.; Litera there is no published pricing or self-service option anywhere; every engagement starts with a sales quote, which makes early-stage budgeting difficult for a firm evaluating multiple vendors.
- They diverge on capability: Harvey covers Legal research assistant, Litera covers Document comparison.
- Prices and features above were last checked on 1 September 2026.
Where they differ
Only the attributes on which Harvey and Litera 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
- Firm-tuned deployment
Only in Litera
- Document comparison
- Contract AI review
- Document drafting and formatting
- Deal and transaction management
- Proofreading
Both cover
- DMS integration
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 Litera
- A large corporate legal department needing firm-tuned drafting on its own precedent librarynot Litera
- A litigation practice wanting AI research assistance integrated directly with its document management systemnot Litera
- A firm large enough to absorb a 25-seat minimum and enterprise contract cost, evaluating AI tools at BigLaw scalenot Litera
Litera
- A mid-size firm wanting document comparison, drafting and contract AI review from a single vendor relationship rather than several separate point toolsnot Harvey
- A transactional practice needing deal and closing checklist management alongside document draftingnot Harvey
- A firm that previously used Kira Systems standalone and needs to understand it is now sold only as part of Literanot Harvey
- A large firm with high contract volume wanting AI-assisted due diligence review at BigLaw-comparable scale and costnot 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.
Litera
- There is no published pricing or self-service option anywhere; every engagement starts with a sales quote, which makes early-stage budgeting difficult for a firm evaluating multiple vendors.
- The product is assembled from roughly a dozen acquisitions in two years, and modules originating from different acquired companies do not always share a consistent interface, which shows up as friction between drafting, comparison and contract AI tools.
- Reported costs at scale, $300,000-plus a year for large deployments, put it in a similar bracket to purpose-built AI vendors like Harvey, so a firm should genuinely compare the two rather than assume Litera is the cheaper, safer choice by default.
- Contract AI review functionality originates from Kira Systems, a 2021 acquisition, and firms should confirm how much that engine has been maintained and improved versus newer AI-native competitors.
- Modules may be licensed and priced separately even within one Litera contract, so a quote for "document comparison" does not necessarily include contract AI review or vice versa.
Pricing, plan by plan
Harvey
On request- Enterprise (BigLaw)$undefined/year
- No self-service signup, quote-only via sales
- 25-seat minimums commonly reported
- Reported per-seat cost roughly $1,000-2,000/month depending on usage tier
Litera
On request- Litera (custom deployment)$undefined/year
- No self-service or monthly subscription option
- Reported $50,000-150,000/year for 10-20 users, 5,000-15,000 contracts/year
- Reported $300,000+/year for 100+ user, 50,000+ contract deployments
Which should you pick?
Choose Litera if
- You need document comparison.
- You work on Web, Windows.
- You also want contract ai review.
Questions people ask
- Is Harvey or Litera better?
- Neither clearly leads. Harvey starts at On request and Litera at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Harvey or Litera?
- Harvey starts at On request and Litera at On request.
- Does Harvey or Litera run on more platforms?
- Harvey runs on Web. Litera runs on Web, Windows.
- 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 Litera is typically brought in for.
- What can Harvey do that Litera cannot?
- Harvey covers Legal research assistant, Contract analysis, Document drafting, Workflow-specific tools. Litera covers Document comparison, Contract AI review, Document drafting and formatting, Deal and transaction management. Both handle DMS integration.
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.
Litera: Is Litera one product or several?
Functionally several. It combines document comparison (Workshare), contract AI (Kira Systems), deal management (Doxly) and drafting tools built or acquired separately, sold under one brand.
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.
Litera: Can I buy Kira Systems on its own?
Not as a fully independent product for law firms; Litera acquired the law firm side of Kira Systems in 2021 and it is now sold as part of the Litera portfolio.
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.
Litera: Is there a published price?
No. Every deployment is a custom quote; reported figures range from roughly $50,000 to over $300,000 a year depending on user count and contract volume.
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