The Harvey AI alternative.
Harvey is built for Am Law firms with a research department and a procurement team. That is not a criticism, it is the target customer.
If you are a firm of two to twenty five attorneys, this page explains why the comparison usually ends on price and what to look at instead.
Verified 2026-08-24. Every figure carries its source and read date.
Where Harvey is the right answer
Starting here, because the rest is worthless if this part is dishonest.
You are Am Law 100
Harvey is designed for large firms with dedicated knowledge management, a research department, and the headcount to absorb the change management. At that scale the platform is genuinely strong and the price is a rounding error against realization.
Transactional and diligence volume
Harvey's document workflows are built around large-scale transactional review and diligence. If that is the practice, no page on this site is telling you to look elsewhere.
You want a bespoke deployment
Harvey does custom work with large clients. Firms that want the platform shaped around their precedent library and their templates get that. Published-price vendors do not offer it.
This is not a like-for-like comparison and pretending otherwise would waste your time. Harvey and Marcella are aimed at firms with different headcounts, different budgets, and different procurement processes. The useful question is which one your firm actually is.
What Harvey reportedly costs
Harvey does not publish pricing. Every figure below is third-party reporting on what firms were quoted, and none of it is a vendor-published rate.
| Segment | Reported rate | Notes |
|---|---|---|
| Mid-market firms | $1,200 to $2,000+ / user / mo | Estimate from a pricing analysis, not a vendor rate.Vaquill legal AI pricing benchmark, July 3 2026 |
| Lexis-bundled seat | ~$2,400 / user / mo | Reported bundled figure.Vaquill, July 3 2026 |
| Annual, reported floor | $60,000+ / yr | Reported total annual cost at the low end.Elephas pricing comparison, March 2026 |
| Am Law 100 scale | $100 to $200 / user / mo | Volume pricing reported at the largest firms.thelegalprompts.com, February 25 2026 |
| Marcella Firm | $99 / seat / mo | 1 to 25 seats, annual billing, Technology Outlaws hosted. Published rate, no sales call. |
| Marcella BOYA | $278 / mo flat | 3 seats. Deploys in the firm's own Azure tenant. |
Note the direction of that last row. The largest firms reportedly pay the least per seat. That is normal enterprise volume pricing, and it is also why a small firm evaluating Harvey is quoted the number at the top of the table rather than the bottom.
Why the price is not the real difference
A twenty attorney firm can find $60,000 a year if the tool is right. The reason Harvey usually does not close at that size is not the invoice, it is everything around it.
Procurement
A new AI vendor in the data path is a new data processor. Approval runs 3 to 6 months at a mid-size firm and consumes partner and general counsel hours that are not billable. Firms with a general counsel and a knowledge management team absorb that. Firms of twenty do not.
Change management
Platforms designed for a research department assume a research department. Small firms adopt tools that work inside software they already open, because there is nobody whose job it is to run training.
Custody
Prompts and outputs are electronically stored information. When a third party holds them, the firm is not the custodian of its own work product. A large firm can negotiate terms around that. A twenty attorney firm signs the standard agreement. Full explanation.
Marcella's answer to all three is the same: it runs inside the Microsoft 365 tenant the firm already contracts for, and on Bring Your Own Azure tiers inside the firm's own Azure tenant. No new processor, no new login, no new custodian.
Feature by feature
| Capability | Harvey | Marcella |
|---|---|---|
| Target firm size | Am Law and large enterprise legal. Built for scale. | Two to twenty five attorneys on the Firm tier, twenty and above on BOYA 20 and Enterprise. |
| Pricing transparency | Not published. Quote-only at every tier. | Published at every tier through BOYA 20. |
| Procurement burden | A new AI data processor. 3 to 6 months at mid-size. | Runs in the Microsoft tenant the firm already contracts for. No new processor on BOYA tiers. |
| Transactional and diligence workflows | Mature and a genuine advantage at volume. | Not the focus. Marcella is built around research, citation treatment, and matter memory. |
| Citation verification | Generative architecture with retrieval grounding. | Retrieval only. A citation absent from the index cannot be returned. Six-item Daubert attestation on every output. |
| Bespoke deployment | Offered to large clients. | Enterprise tier offers a dedicated tenant, white label, and GCC High availability. |
If your firm has a knowledge management function and a diligence practice, the first and fourth rows are decisive and Harvey is the better product for you.
Questions
How much does Harvey AI cost?
Harvey does not publish pricing. Third-party reporting estimates $1,200 to $2,000 or more per user per month for mid-market firms, roughly $2,400 for a Lexis-bundled seat, and $60,000 or more per year at the low end. Am Law 100 volume pricing is reported far lower per seat at $100 to $200.
Is Harvey AI worth it for a small firm?
Rarely, and the reason is not only price. A new AI vendor requires a data processor review that runs 3 to 6 months, and platforms built for firms with a knowledge management function assume that function exists. Firms under about twenty five attorneys generally get more from a tool that runs inside software they already use.
What is a cheaper alternative to Harvey AI?
Published entry rates in the category start near $99 per seat per month. Before paying anything, check whether your state bar includes a free Fastcase or vLex tier, since more than 40 do.
Does Harvey publish its prices?
No. A July 2026 survey of twenty legal AI vendors found six that publish a readable price and fourteen that route to a sales call. Harvey is in the second group.
What does Marcella do that Harvey does not?
Marcella runs inside the firm's existing Microsoft 365 tenant, and on Bring Your Own Azure tiers inside the firm's own Azure tenant, which means no new data processor to approve. It publishes every rate. And it retrieves citations from an indexed corpus rather than generating them, with a six-item Daubert attestation on every output.
Published rates, no procurement cycle, and no new data processor to approve on Bring Your Own Azure tiers.
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