HarveyEnterprise
The enterprise legal AI platform — agents, document vaults, and contract intelligence used by 75+ of the AmLaw 100.
AI / LLM comparison
Harvey vs LangGraph
Pricing, pros, cons, and ideal use cases — side by side.
LangGraphFreemium
A low-level orchestration framework for building stateful, multi-step agent workflows with explicit control over state, branching, and human-in-the-loop steps.
At a glance
| Harvey | LangGraph | |
|---|---|---|
| Pricing | EnterpriseNot published — enterprise contracts negotiated after a demo. Deployments are typically firm-wide with implementation support, not self-serve seats. | FreemiumOpen-source framework, free to use. Paid tiers apply to the surrounding LangSmith platform, not the framework itself. |
| 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 | Engineering teams building multi-step agentsEnterprise platform teamsWorkflows needing human-in-the-loop control |
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
LangGraph
Pros
- Explicit control over agent state and branching
- First-class human-in-the-loop and checkpointing
- Strong fit for durable, long-running workflows
- Large ecosystem and active development
Cons
- Requires real engineering investment
- Lower-level than no-code agent builders
- You own deployment and observability
Which should you choose?
LangGraph is the lighter-weight option (Freemium), while Harvey sits higher on the pricing ladder (Enterprise). Harvey is built around amlaw 100 and large regional law firms; LangGraph leans more toward engineering teams building multi-step agents. Shortlist the one whose strengths line up with your biggest constraint.