DataStruct AI vs Harvey AI
Harvey AI focuses on enterprise law firms. DataStruct AI covers legal AND 10 other industries, with the same evidence-cited architecture and GDPR-aligned compliance posture.
Harvey AI is the right choice for AmLaw 100 firms with deep workflow integrations into BigLaw-specific tools. DataStruct AI is the right choice for everyone else: mid-market law firms, in-house legal teams, and teams in adjacent industries (finance, real estate, insurance) who need legal-grade document AI as part of a broader platform.
Where Harvey AI wins
Honest about what they do well.
- 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 wins
What we built better.
- Covers 11 industries, not just legal
- Open API with 112+ endpoints
- GDPR-aligned compliance posture with data subject rights
- Customisable extraction templates
- Citation validation and a verification pass on each answer
- Multi-tenant architecture suited to mid-market and in-house teams
Which should you choose?
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 need an open API for custom integrations
- You need GDPR-aligned data handling with self-serve data export
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
Feature-by-feature comparison
Platform
| Feature | DataStruct AI | Harvey AI |
|---|---|---|
| Industry domain packs | 1 (legal) | |
| Multi-tenant architecture | ||
| Custom extraction templates | ||
| Custom rule packs | ||
| API endpoints | 112+ | |
| SSO / OAuth | Roadmap | |
| RBAC with granular permissions | ||
| Mobile-responsive UI |
AI Architecture
| Feature | DataStruct AI | Harvey AI |
|---|---|---|
| Citation validation + verification pass | ||
| Citation validation | ||
| Verification pass on AI outputs | ||
| Hierarchical hybrid search | ||
| Claim-level evidence adjudication | Founding Customer workspaces | |
| Multi-document search and extraction |
Compliance & Security
| Feature | DataStruct AI | Harvey AI |
|---|---|---|
| GDPR data export (self-serve) | Erasure on request | |
| Encryption at rest (platform-provided) | ||
| Audit log on sensitive actions | ||
| Cookie consent banner | ||
| DPA template available | ||
| Incident response plan documented |
Sales & Onboarding
| Feature | DataStruct AI | Harvey AI |
|---|---|---|
| Tailored onboarding + training | ||
| Sample documents loaded for your industry | ||
| Direct support from the founding team |
Comparison based on publicly available information as of 2026. "?" means we have not found public documentation of the capability; it is not a claim that the capability is absent. We strive to be accurate; if anything is wrong, email hello@datastructai.com and we'll fix it.
Compare DataStruct AI to other platforms
See DataStruct AI in action
Tell us about your team and documents. We'll put together a tailored package and a tour of the platform across your industry.