HarveyEnterprise
The enterprise legal AI platform — agents, document vaults, and contract intelligence used by 75+ of the AmLaw 100.
AI / LLM comparison
Harvey vs OpenAI API
Pricing, pros, cons, and ideal use cases — side by side.
OpenAI APIPaid
The most capable AI models available via API — power your business automations with GPT-4.
At a glance
| Harvey | OpenAI API | |
|---|---|---|
| Pricing | EnterpriseNot published — enterprise contracts negotiated after a demo. Deployments are typically firm-wide with implementation support, not self-serve seats. | PaidPay-as-you-go. GPT-4o roughly $5/1M input tokens. Very affordable for SMB usage volumes. |
| Category | AI / LLM | AI / LLM |
| Ideal for | AmLaw 100 and large regional law firmsEnterprise in-house legal departmentsProfessional services firms with heavy document reviewLegal ops teams standardizing a firm-wide AI platform | Any SMB wanting AI featuresLaw FirmsRecruitersAgencies |
Pros & cons
Harvey
Pros
- Proven at the top of the legal market — 75+ AmLaw 100 firms
- Ethical walls and matter-level security built in, not bolted on
- Covers research, drafting, review, and portfolio analytics in one platform
- Command Center gives leadership real adoption visibility
Cons
- No public pricing and a long enterprise sales cycle
- Substantially overbuilt for small firms
- Requires change management and firm-wide rollout to pay back
- Platform lock-in once matters live inside Vault
OpenAI API
Pros
- Most capable models available
- Flexible API
- Good documentation
Cons
- Requires technical setup
- Costs can grow with volume
- Outputs need review
Which should you choose?
OpenAI API is the lighter-weight option (Paid), while Harvey sits higher on the pricing ladder (Enterprise). Harvey is built around amlaw 100 and large regional law firms; OpenAI API leans more toward any smb wanting ai features. Shortlist the one whose strengths line up with your biggest constraint.