Overview
Harvey builds AI for legal work — document analysis, research, drafting support — for law firms and legal teams. Pricing is not published; access goes through sales, and the absence of a public price is itself the decision-relevant fact for most buyers.
The missing price is the product signal
Harvey is the highest-profile AI platform built specifically for legal work, adopted by a large share of the biggest US law firms. Its capabilities are the expected ones for legal AI: analyzing documents, searching across a firm's own work product, drafting and reviewing, with strong compliance and security posture built for the profession.
What makes it worth writing about is what is not on the page: there is no public pricing. Access is through a sales process, pricing is negotiated per firm, and a solo practitioner or small firm cannot find the number anywhere. That absence is the information a buyer needs, and it is worth reading carefully rather than as an oversight.
What no public price means for a buyer
A product with no published price is telling you who it is for. Harvey's economics assume institutional budgets: firms that buy in seats, negotiate enterprise contracts, and value security certification and integration with the firm's systems over sticker price.
For a large firm, the absence of a price is normal — the product is sold on the sales call, and the compliance story (SOC 2, ISO certification, data residency) is part of what the price covers. For anyone below that scale, the missing price is effectively an answer: if you have to ask, the product's model is not built around you, and the sales process will confirm it.
The second-layer reality: legal AI of this tier is priced for the economics of billable hours. A tool that saves a partner an hour of drafting can justify itself at a price that looks absurd to a non-lawyer, and that is exactly the calculation the sales process makes per firm. The absence of a public price is not opacity — it is segmentation, and recognizing it saves a small buyer a wasted sales conversation. The security layer reinforces the same story: the certifications and data controls exist because institutional clients require them, and they are part of why the price cannot be a list price.
| Harvey | General-purpose AI | |
|---|---|---|
| Built for legal work | Yes | Generic |
| Firm security & compliance | Enterprise-grade | Varies |
| Pricing | Sales-led, negotiated | Published, self-serve |
| Fits solo practitioners | No | Yes |
Where it fits
- ✓ Works for: large law firms and in-house legal teams where security, integration and workflow fit justify an enterprise price; organizations that already run procurement and security reviews, where the sales-led model is the normal buying path.
- ✗ Not a fit for: solo practitioners and small firms looking for a priced tool they can subscribe to — the absence of a public price is the answer; teams that need to compare costs before a sales conversation; anyone evaluating legal AI for individual use, where general-purpose tools with legal capabilities are the accessible alternative.