An honest comparison
monō vs Harvey
Harvey is a legal AI product. monō is the platform a firm runs on, legal included.
Our honest position
Harvey is a strong vertical legal AI product. monō gives a firm the same legal capability as one sector on a horizontal platform it owns. Inside its own perimeter, on its own models, alongside finance, operations and the rest.
| Dimension | Harvey | monō |
|---|---|---|
| Model | Vertical legal AI product | Horizontal platform, legal as a sector |
| Perimeter | Vendor-hosted | Inside your walls, privilege preserved |
| Model choice | Managed | Model-agnostic |
| Breadth | Legal | Legal + finance + ops + more |
| Ownership | Product subscription | Firm owns the platform |
| Cost to run | Per-seat legal product licence | Harness efficiency + BYO keys |
| Compounds over time? | No memory that compounds across your tools and teams | Yes, one memory across your tiles, people and time, inside your tenant |
Model
Harvey: Vertical legal AI product
monō: Horizontal platform, legal as a sector
Perimeter
Harvey: Vendor-hosted
monō: Inside your walls, privilege preserved
Model choice
Harvey: Managed
monō: Model-agnostic
Breadth
Harvey: Legal
monō: Legal + finance + ops + more
Ownership
Harvey: Product subscription
monō: Firm owns the platform
Cost to run
Harvey: Per-seat legal product licence
monō: Harness efficiency + BYO keys
Compounds over time?
Harvey: No memory that compounds across your tools and teams
monō: Yes, one memory across your tiles, people and time, inside your tenant
Cost-to-run is illustrative, same outcome, materially fewer tokens; with your own API keys, your rates, no markup. All marks belong to their owners.
No FUD
When they're the right call.
- You want a managed, ready-made legal AI product and nothing broader.
- You’re comfortable with vendor-hosted models for legal work.
- You don’t want to run agents beyond legal.
If you want a ready-made legal AI product with nothing else, Harvey is focused and proven.
The architecture difference
Three decisions they can't retrofit.
Sovereign by architecture
Inference-only. Your cloud, your keys, the data never builds anyone else's product.
Model-agnostic
Frontier, open-source, fine-tuned, swap models without rewrites.
Your own API keys
Your lab accounts, your negotiated rates. We never mark up your tokens.
In depth
The fuller picture.
What Harvey is for
Harvey is a strong vertical legal AI product, focused and proven for legal work. If you want a ready-made legal product and nothing broader, it is purpose-built. The scope is legal.
Why a firm might own the platform
monō gives a firm the same legal capability as one sector on a horizontal platform it owns. The work runs inside the firm's own perimeter, on its own models, with privilege preserved, alongside finance, operations and the rest. Where a firm wants to own the platform rather than subscribe to a product, that ownership is the difference.
FAQ
Questions, answered straight.
- Is monō a legal AI product like Harvey?
- Not exactly. monō is a horizontal platform a firm owns, with legal as one sector on it. Harvey is a focused, ready-made legal product.
- What about privilege and data?
- Work runs inside your own perimeter, inference-only, on your own models, so privilege is preserved and data stays yours.
- Can it cover more than legal?
- Yes. The same platform runs finance, operations and more, on shared memory and governance. Legal is one sector among several.
- When is Harvey the better buy?
- When you want a ready-made legal AI product and nothing broader, Harvey is focused and proven.
See it on your own use case.
Your use case, live on the platform, beside whatever you're evaluating.