Harvey AI alternative: when the bottleneck is not research

Harvey is a legal AI platform aimed at large law firms and in-house legal departments. Its centre of gravity is the lawyering itself: research, drafting, reviewing and analysing documents at the scale elite firms work at. It sells enterprise, and its early public customers were large international firms.

That focus is a strength, and if you are evaluating Harvey against us for research and drafting inside a large firm, Harvey is the more natural fit. We are not going to pretend otherwise.

The reason firms end up searching for Harvey AI alternatives is usually not quality. It is that they are a different shape of firm with a different bottleneck.

In a 5 to 50 attorney firm, the expensive hours rarely disappear into legal research. They leak out around it.

• Intake. An enquiry arrives after hours, nobody responds until morning, and the client has already called someone else.
• Conflicts and onboarding. Checking the database, sending the engagement letter, chasing the signature, collecting ID, keying it all into Clio. Thirty to forty-five minutes per new client, done by someone whose time is worth more.
• Unbilled time. Work that happened, was never recorded, and quietly became a discount.
• Deadlines. Tracked in someone's head and a shared calendar, which works until it does not.

None of that is research. A tool that makes research faster does not touch it.

We deploy named agents against the operational workflow rather than the legal analysis. For a law firm that is typically six: research, client intake, document review, billing, deadline tracking and client communication. They read and write inside Clio rather than sitting beside it.

Three structural differences worth knowing before you compare:

• We deploy one agent at a time, in 4 to 6 weeks, each against your real matters, with sign-off before it goes into production. You see whether the first one works before committing to the rest.
• Every consequential action is approved by a person. The agent assembles the work and routes the decision to you in Slack. Nothing consequential happens unattended.
• Pricing is published. Discovery $1,000 to $3,000, build from $5,000, management $1,500 to $5,000 a month. No per-matter or per-seat metering.

Straightforwardly: when the work you want to accelerate is the legal work itself, and you have the scale to justify an enterprise platform.

Large firm or serious in-house team, high volume of research and drafting, a procurement process that expects enterprise vendors, and an existing knowledge-management function to plug into. That is Harvey's ground and it is a reasonable place to buy.

If that describes you, this page has done its job by telling you so.

When the firm is 5 to 50 attorneys, the partners are doing administrative work they should not be doing, and the problem you would describe out loud is "we lose clients because intake is slow" or "we write off hours nobody recorded".

Also when you want to test before you commit. One agent, four to six weeks, against your real matters. If it does not hold up, you have spent a discovery fee rather than signed an enterprise agreement.

And if neither fits, we will say so on the call. A firm doing twenty new matters a month with a working intake process does not need either of us.