How Marlow is different from Harvey
Harvey puts AI inside law firms. Marlow puts lawyers inside AI: the layer software and agents use to reach a qualified professional when the work needs one.
In short
Harvey builds AI for law firms and in-house legal teams, and their lawyers operate it. Marlow builds the other direction. Software and agents are the operators, and Marlow connects a qualified, independent professional when the work needs judgment or a reserved act. Harvey puts AI inside law firms. Marlow puts lawyers inside AI.
Almost every investor conversation reaches the same question: isn’t this another AI copilot for law firms? It is a fair question, because most of the money in legal AI has gone to exactly that. The answer is no, and the clearest way to show why is to put Marlow beside the name that comes up most.
Harvey puts AI inside law firms. We put lawyers inside AI.
Two products, two operators
| Harvey | Marlow | |
|---|---|---|
| Who operates it | Lawyers and legal teams | Software and agents, with a licensed professional for the reserved act |
| Who buys it | Law firms, in-house legal teams, professional services firms | Applications and agent platforms |
| The unit | A seat in a legal AI platform | A piece of legal work, decided by a professional |
| Where the lawyer sits | The user, with AI as the tool | Inside the workflow, called when the work needs one |
| How it spreads | Top down, through demos and enterprise sales | Bottom up, from any software that reaches a legal boundary |
Harvey puts AI inside law firms
Harvey describes itself as AI software for legal and professional services. Its customers are law firms, in-house legal teams and professional services firms, and its homepage counts more than 80 of the Am Law 100 among them. In September 2026 it raised $550 million at a $15.5 billion valuation. Legora and Thomson Reuters’ CoCounsel make the same bet from their own angles: AI that makes a lawyer faster and better at the lawyer’s own work.
It is a large market, and a sound bet. In each of these products the lawyer is the operator. AI accelerates the research, the drafting and the analysis, and the firm delivers the result the way it always has. Harvey also sells agents that carry legal work end to end, built for the legal teams that buy them.
Marlow puts lawyers inside AI
The first generation of legal AI asks how AI can help lawyers. Marlow starts from the opposite question: how can software reach a lawyer? Software is the operator. When an application or an agent reaches a boundary that needs judgment, a credential or a signature, Marlow connects a qualified professional, licensed where the work is. The professional attests, sends it back or declines, and the result returns so the workflow continues.
Each professional acts under their own license, in their own judgment, and the reserved act stays theirs.
Underneath is api.lawyer, the substrate every product runs on: what the law reserves, in which jurisdiction, which credential the act takes, and who holds it. Calling a lawyer carries everything a legal engagement carries, which is why the substrate is the product.
Top down and bottom up
Harvey grows the way enterprise software grows. It sells to the largest firms and legal departments, one demo at a time, and each sale puts more AI in more lawyers’ hands.
Marlow grows from the edges. Every product that produces legal work (an incorporation flow, a contract tool, a procurement agent) reaches a moment where the software says “consult a lawyer.” Each of those moments is demand that no firm’s sales team sees. Every professional who joins adds a jurisdiction, a credential and a response time that software can call. That is the bottom-up agentic layer: it grows with every piece of software that needs a lawyer, not with every firm that buys a seat.
Not another copilot
A copilot makes a lawyer faster at the lawyer’s own work. Marlow does something else: it makes a qualified lawyer reachable from inside the work software is already doing. The two don’t compete for the same moment, and a firm can run Harvey and still take work through Marlow.
So Marlow is not a copilot for law firms, a lawyer directory or a staffing marketplace. Lawyers get the experience. Agents get the access. That is what we mean by the legal layer for the agentic economy.
Questions
Is Marlow a competitor to Harvey?
Not directly. Harvey sells AI to law firms, in-house legal teams and professional services firms, and their lawyers operate it. Marlow is the layer software and agents use to reach a qualified, independent professional. A firm that runs Harvey can still take work through Marlow.
Is Marlow another AI copilot for law firms?
No. A copilot makes a lawyer faster at the lawyer’s own work. Marlow makes a qualified lawyer reachable from inside the work software is already doing, so the demand comes from applications and agents, not from a firm’s seat count.
What does bottom up mean here?
Harvey sells top down, to the largest firms and legal departments. Marlow grows from the edges: every application or agent that reaches a legal boundary is demand, and every professional who joins adds a jurisdiction, a credential and a response time that software can call.
Sources
- Harvey: AI software for legal and professional services, Harvey
- Harvey raises $550M at a $15.5B valuation (September 9, 2026), Harvey
- Legora: collaborative AI for lawyers, Legora
- CoCounsel, Thomson Reuters