Comparison
CompleteFlow vs Harvey AI
Harvey is the market leader in legal AI, valued at $11 billion and used by most AmLaw 100 firms. CompleteFlow takes a different approach: you choose the model, every citation is verified, and workflows connect across your entire business, not just legal.
TL;DR
The short version
Harvey is strong at legal research (via LexisNexis) and document review for transactional work. CompleteFlow does not offer legal research. That is Harvey's clear advantage.
CompleteFlow gives you model choice so you always run the best available LLM for each task. Every extracted value is verified against its source citation before it reaches a lawyer. Workflows are event-driven, expression-based, and connect to your full Microsoft 365 environment. And the platform works across your entire business, not just legal.
If you need legal research, use Harvey. If you need flexible document intelligence, verified citations, and governed automation across your firm, CompleteFlow covers ground Harvey does not.
At a Glance
Side-by-side comparison
| Dimension | CompleteFlow | Harvey AI |
|---|---|---|
| Document extraction | ✓ Choose the best model for each task. Every citation verified. | Extraction via Review Tables, source linking |
| Hallucination controls | ✓ Automated citation verification against source documents | Source links for manual review |
| Model choice | ✓ Any LLM: swap to SOTA immediately, including open-weight models | Limited selection from OpenAI, Anthropic, Google |
| Legal research | Not included | ✓ LexisNexis with Shepard's Citations |
| Workflows | ✓ Fully customisable with M365, event-driven triggers, cross-system | Legal-focused Workflow Builder + Agent Builder |
| M365 integration | ✓ Native: SharePoint, Outlook, Teams, Calendar, Entra ID SSO | Add-ins for Word, Outlook, Teams, SharePoint |
| Industry scope | ✓ Legal, finance, asset management, public sector | Legal only |
| Deployment | ✓ Managed cloud, private cloud, or on-prem | Cloud only (Azure SaaS) |
| Data sovereignty | ✓ Client data stays in your environment, your encryption keys | Data processed on Harvey's Azure infrastructure |
| Pricing | ✓ Platform licence (not per-user) | ~$1,000-1,200/lawyer/month + LexisNexis subscription |
Document Intelligence
Model choice means better extraction
Harvey selects which models power your extraction tasks. When a better model becomes available, you wait for Harvey to adopt it.
CompleteFlow lets you choose the model for each task. When Anthropic, OpenAI, or an open-weight model releases a new state-of-the-art LLM, you can deploy it immediately. For document extraction specifically, this means you always have access to the best available model, not the one your vendor has certified.
Harvey has recently added model selection (GPT-5, Claude, Gemini), but you are still limited to their supported set. CompleteFlow supports any model you can run, including open-weight models deployed privately.
How CompleteFlow handles extraction
- ✓ Choose the best model for each extraction task
- ✓ Every extracted value linked to its source passage
- ✓ Citations verified against the original document automatically
- ✓ Cross-document validation: flag contradictions across 200+ documents
- ✓ Structured exception reports routed to a partner when items exceed risk thresholds
Trust
Verified citations, not just source links
Harvey links extracted data back to source passages. This is useful, but the lawyer still needs to manually check whether the AI's interpretation matches what the document actually says. As one senior partner at A&O Shearman noted: "You must validate everything coming out of the system. You have to check everything."
CompleteFlow takes a different approach. After extraction, a verification step automatically checks every citation against the original document. If the AI's output does not match the source, it is flagged before it reaches the lawyer. This catches hallucinations at the system level rather than relying on human review to catch every error.
For a due diligence review across hundreds of documents, this is the difference between trusting a linked footnote and trusting a verified one.
Workflows
Workflows that connect across your business
Harvey's Workflow Builder and Agent Builder are designed for legal tasks: due diligence review, contract analysis, motion drafting. These are strong tools for their intended purpose.
CompleteFlow's workflow engine is built for arbitrary business processes. Workflows can be triggered by events (a calendar invite, an email, a file upload to SharePoint), scheduled on a recurring basis, or started manually. They support expression-based logic, cross-system data transforms, and conditional routing, all governed by the same audit trail and policy engine.
Example
Proactive meeting preparation
CompleteFlow
A calendar invite arrives for a client meeting. A workflow triggers automatically, retrieves the matter history from your DMS, summarises recent interactions from Outlook and Teams, pulls the attendee's recent LinkedIn posts and relevant news, and delivers a briefing note to the lawyer before the meeting starts.
Harvey AI
Harvey has Word and Outlook add-ins, but workflows are initiated within the Harvey platform. There is no event-driven automation that monitors your calendar, pulls context from multiple systems, and delivers a briefing proactively.
Full Microsoft 365 integration
Harvey offers add-ins for Word, Outlook, and Teams. CompleteFlow integrates at the platform level via Microsoft Graph and MCP servers:
SharePoint
Read, write, and monitor document libraries. Trigger workflows on file changes.
Outlook & Calendar
Process emails, monitor calendars, trigger workflows from events.
Teams & Entra ID
SSO via Entra ID. Deliver outputs and notifications through Teams.
Cross-document analysis
Harvey's Review Tables extract data points from uploaded contracts into structured columns. This is effective for single-document extraction at scale.
CompleteFlow handles the harder problem: cross-document analysis where you need to compare values across multiple documents and flag contradictions.
Example
M&A due diligence across 200 data room documents
CompleteFlow
CompleteFlow extracts key figures from each document using the best available model, then runs deterministic validation: does the revenue in the management accounts match the vendor DD report? Do the property addresses in the lease schedule match the title register? Where values conflict, the agent examines both source passages and explains the discrepancy. Every citation is verified. The output is a structured exception report with source references, routed to a partner for review if items exceed a risk threshold.
Harvey AI
Harvey's Review Tables can extract terms across a document set, and its Vault product supports bulk analysis. But cross-document contradiction detection, deterministic validation of extracted values, and conditional routing based on risk thresholds require the lawyer to review and connect the outputs manually.
Where Harvey is stronger
Harvey has a deep partnership with LexisNexis, giving lawyers access to legal research, Shepard's Citations, and case law directly within the platform. CompleteFlow does not offer legal research. For firms where research is the primary AI use case, Harvey is the clear choice.
Harvey also has significant market traction: 100,000+ legal professionals, partnerships with most AmLaw 100 firms, and a mature mobile app. Their Agent Builder for custom legal workflows is well-designed for transactional and litigation work.
For pure legal AI within a large law firm already embedded in the LexisNexis ecosystem, Harvey is a strong product.
Where CompleteFlow is stronger
CompleteFlow gives you model choice, citation verification, and workflow automation that extends beyond legal tasks. You pick the LLM, every extracted value is verified against its source, and workflows connect across SharePoint, Outlook, Teams, and any system via MCP.
For firms that need AI across legal and business operations, governed automation with full audit trails, and the flexibility to deploy on their own infrastructure, CompleteFlow provides capabilities that Harvey's architecture does not support.
Harvey gives you the best legal AI tool. CompleteFlow gives you a platform to build governed AI agents across your entire firm.
Which is right for you?
Choose Harvey if…
- → Legal research is your primary AI use case and you need LexisNexis integration.
- → You're an AmLaw 100 firm focused on M&A and transactional work.
- → You're comfortable with cloud-hosted AI processing.
- → You want a mature legal-specific platform with 100,000+ users.
Choose CompleteFlow if…
- → You want to choose which LLM powers each task, including open-weight models.
- → You need verified citations, not just source links.
- → You need workflow automation across legal, compliance, and business operations.
- → Full M365 integration matters: event-driven triggers from SharePoint, Outlook, and Calendar.
- → Client data stays within your chosen deployment environment (SRA requirements, client contracts).
- → You want full audit trails with reasoning traces for regulatory review.
See how CompleteFlow handles your document workflows
Book a 30-minute strategy session. We will walk through your extraction and automation use cases and show you how model choice and citation verification work in practice.
FAQ