Comparison
DataStruct AI vs Harvey AI
Harvey AI is built for legal work, with a focus on large law firms. DataStruct AI is built for evidence review: it runs your own requirements over contracts, supplier files and audit records, cites the source of each finding, and says when support is not there.
Where each is stronger
Where Harvey AI is stronger
- Deep partnerships with BigLaw firms (Allen & Overy, PwC, etc.)
- Lawyer-tuned UI and workflows
- Significant funding and engineering resources
- OpenAI partnership and early access to model capabilities
Where DataStruct AI is stronger
- Covers 11 industries, not just legal
- A REST API authenticated by API key
- Self-serve GDPR data export and account deletion
- Customisable extraction templates
- Citation validation and a verification pass on each answer
- Multi-tenant architecture suited to mid-market and in-house teams
Which to choose
Choose Harvey AI when
- You're an AmLaw 100 firm with dedicated legal innovation budget
- You need deep workflow integration with BigLaw-specific tools
- Your matter management already runs through Harvey-integrated tools
Choose DataStruct AI when
- You're a mid-market or boutique law firm
- You're in-house counsel needing flexible workspace structure
- You need document AI across multiple practice areas or industries
- You want a REST API with API keys for your own integrations
- You want self-serve GDPR data export and account deletion
Feature by feature
Side by side
| Feature | DataStruct AI | Harvey AI |
|---|---|---|
| Industry domain packs | Yes | 1 (legal) |
| Multi-tenant architecture | Yes | Not known |
| Custom extraction templates | Yes | Not known |
| Custom rule packs | Yes | Not known |
| REST API with API keys | 100+ endpoints | Not known |
| SSO / OAuth | Roadmap | Not known |
| RBAC with granular permissions | Yes | Not known |
| Mobile-responsive UI | Yes | Not known |
| Feature | DataStruct AI | Harvey AI |
|---|---|---|
| Citation validation | Yes | Not known |
| Verification pass on AI outputs | Yes | Not known |
| Hierarchical hybrid search | Yes | Not known |
| Claim-level evidence adjudication | YesFounding Customer workspaces | Not known |
| Multi-document search and extraction | Yes | Not known |
| Feature | DataStruct AI | Harvey AI |
|---|---|---|
| GDPR data export (self-serve) | YesErasure on request | Not known |
| Encryption at rest (platform-provided) | Yes | Not known |
| Audit log on sensitive actions | Yes | Yes |
| Cookie consent banner | Yes | Not known |
| DPA template available | Yes | Not known |
| Incident response plan documented | Yes | Not known |
| Feature | DataStruct AI | Harvey AI |
|---|---|---|
| Tailored onboarding + training | Yes | Not known |
| Sample documents loaded for your industry | Yes | Not known |
| Direct support from the founding team | Yes | Not known |
What we say about Harvey AI is drawn from its public materials and may have changed since this page was written. “Not known” means we could not confirm it either way. If anything here is wrong, tell us and we will correct it.
Compare it on your own documents
The most useful comparison is a demo on documents like yours, with one requirement you answer by hand today.