DocIQ Sphere vs Harvey AI
Harvey AI is the most well-funded legal AI platform, backed by $1.2B+ in funding and used by major Am Law 100 firms. It offers strong legal research (200+ sources, 60+ jurisdictions), a Word add-in for document editing with tracked changes, and agentic workflow automation. DocIQ Sphere takes a different approach: native OOXML document editing without a Word dependency, integrated data rooms, bulk extraction across document libraries, and deployment flexibility including on-premise and air-gapped options. Both platforms are capable. The right choice depends on your workflow, deployment requirements, and document management needs.
What Harvey AI does well
- Extensive legal research with 200+ verified sources across 60+ jurisdictions
- Strong Word add-in integration for tracked changes and redlining
- Workflow Builder with 15,000+ custom workflows built by firms
- Mobile app with voice, document scanning, and audio transcription
- LexisNexis partnership for premium legal content
- EU/CH Azure region with Swiss-U.S. DPF certification
Where DocIQ Sphere differs
Native OOXML editing without a Word dependency
Harvey edits documents through a Word add-in using Office JS APIs. Sphere operates directly on OOXML structure: paragraph-level insertions, table cell manipulation, header/footer scoping, and style preservation. The output is a standard .docx with native tracked changes. No Word installation required to edit or review.
- Direct OOXML manipulation with stable paragraph IDs
- Table row insertion matching existing cell structure
- Header/footer scoped editing
- Image insert, replace, and remove
Integrated data rooms with AI extraction
Harvey integrates with external DMS platforms (iManage, NetDocuments, SharePoint) but does not include native data rooms. Sphere has built-in data rooms with granular roles, immutable audit trails, and AI-powered extraction. Invite individual users or entire Sphere organizations. Every access, download, and view is logged.
- Built-in virtual data rooms with role-based access
- Immutable audit trail for every action
- AI extraction within the data room context
Bulk extraction across document libraries
Harvey's Vault provides document repository with search and metadata extraction. Sphere's bulk extraction runs structured playbooks across entire libraries: extract payment terms from 500 supplier agreements, flag missing indemnity clauses across your NDA portfolio, or identify non-compete provisions across all employment contracts. Results are streamed and structured.
- Playbook-driven extraction across any document set
- Streaming results with structured output
- Auto-Playbooks trigger on folder upload
On-premise and air-gapped deployment
Both Harvey and Sphere offer on-premise options. Sphere additionally supports fully air-gapped deployment with local AI model inference, zero network dependencies, and no telemetry. For organizations where even metadata must stay internal.
- Managed cloud (CH/EU), on-premise, or air-gapped
- Local AI model inference for classified environments
- Full feature parity across all deployment modes
Feature comparison
| Capability | DocIQ Sphere | Harvey AI |
|---|---|---|
| Word-native tracked changes | Yes | Yes |
| OOXML-level editing (no Word dependency) | Yes | Partial |
| Agentic chat-driven editing | Yes | Yes |
| Legal research with verified sources | Yes | Yes |
| Clause bank with jurisdiction tags | Yes | Partial |
| Auto-Playbooks on upload | Yes | Partial |
| Bulk extraction across libraries | Yes | Partial |
| Data rooms with AI extraction | Yes | - |
| Document creation from prompt | Yes | Yes |
| Template variables as tracked changes | Yes | - |
| On-premise deployment | Yes | Yes |
| Air-gapped deployment | Yes | - |
| CH/EU data sovereignty | Yes | Yes |
| Multi-format indexing (15+ types) | Yes | Partial |
| Mobile app | - | Yes |
Frequently Asked Questions
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