Many legal AI platforms promise to help legal teams work more efficiently. But it’s not always easy to know which one is best for you. Harvey AI and LEGALFLY deliver faster research, contract review, drafting and compliance management. However, the two serve different audiences.
If you work inside a law firm, Harvey might be the right fit. If you lead an in-house legal, compliance or procurement team, LEGALFLY is likely the safer, more effective choice.
Here’s how they compare.
Who were Harvey and LEGALFLY built for?
Harvey AI was built for law firms and professional service providers. Its “Professional Class AI” architecture supports complex transactional, litigation, and tax work. Many of its early adopters (PwC, A&O Shearman, Deutsche Telekom AG) use Harvey to scale large legal operations.
In contrast, LEGALFLY was designed specifically for in-house legal teams. It focuses on enabling cross-functional teams to work faster, protect data, and collaborate safely across departments like procurement, finance, sales and compliance.
Verdict: Harvey serves law firms. LEGALFLY serves businesses.
Which platform protects your data better?
There are some important differences here.
Harvey AI offers robust enterprise security: SOC 2 Type II, ISO 27001, GDPR, and CCPA compliance, plus regional data hosting (EU, US, Australia). It guarantees that client data isn’t used to train AI models.
However, Harvey still shares identifiable data with the underlying LLMs that power it.
LEGALFLY removes that risk entirely. It anonymises data before processing, ensuring no personal or confidential information ever leaves your environment. It holds the same certifications (SOC 2 Type II, ISO 27001) but adds full GDPR alignment and optional on-premise or single tenant deployment for regulated industries.
Verdict: Harvey protects the platform. LEGALFLY protects the data.
How do their AI models and accuracy compare?
Initially running only on ChatGPT, Harvey now supports three large language models: OpenAI’s GPT, Anthropic’s Claude, and Google’s Gemini.
LEGALFLY is LLM-agnostic and draws from four leading models (Claude, Llama, GPT, and Gemini) selecting the most capable for each task, language, and jurisdiction. It also runs smaller, fine-tuned internal models for specialised functions such as anonymisation and clause detection. This improves precision, consistency, and context-awareness across multi-jurisdictional work.
Verdict: Harvey has evolved. LEGALFLY was designed from the ground up to be agnostic.
Which AI fits more naturally into your workflows?
Both Harvey AI and LEGALFLY integrate directly with Microsoft Word, SharePoint, Teams, and Copilot. You can draft, compare, and review contracts without leaving your usual workspaces, with version control and audit trails automatically maintained.
Verdict: Both platforms work with the tools you already use.
Which is stronger on security?
In-house legal teams are under increasing scrutiny to prove AI governance, from GDPR to the EU AI Act and DORA in financial services.
LEGALFLY was built with governance in mind:
Automated anonymisation to minimise breach risk
Clause-level audit trails for every AI action
Configurable permissions and data residency controls
Harvey has enterprise monitoring and retention policies but doesn’t have in-built anonymisation.
Verdict: Both comply but only LEGALFLY has in-built anonymisation.
What can each platform do?
Comparison point | Harvey AI | LEGALFLY |
|---|---|---|
Security and privacy | Enterprise-grade | Enterprise-grade + pre-processing anonymisation. See more |
Contract review | Yes | |
Drafting from templates | No | Yes. Directly in Microsoft Word. See more |
Regulatory tracking | No | Yes See Legal Radar |
Clause comparison | Yes | Yes |
Review (multi-document) | Yes via Vault | Yes via Multi-review |
Review with Playbook | Yes | Yes |
Microsoft 365 integration | Word, SharePoint, Outlook | Word, SharePoint, Copilot (Teams, Outlook) See more |
Data anonymisation | No | Yes |
Jurisdictional adaptation | Limited | Extensive |
Cross-department collaboration | Partial | Yes, safe self-service within legal guardrails |
AI model flexibility | Multiple models (LLM-agnostic) | Multiple models (LLM-agnostic) |
Ideal for | Law firms and advisory practices | In-house legal, compliance, and procurement teams |
Which should you choose?
If your organisation runs client-facing legal services, Harvey AI is a capable, firm-centric solution.
If your goal is to empower internal teams, protect sensitive information, and accelerate review cycles without compromising compliance, LEGALFLY is purpose-built for you.
Use case | Choose | Why? |
|---|---|---|
Large law firms | Harvey AI | Built for firms delivering client-facing legal services across multiple practice areas. |
Corporate legal departments | LEGALFLY | Designed specifically for in-house teams managing contracts, compliance, and operations. |
Highly regulated industries (finance, insurance, government) | LEGALFLY | Offers full data anonymisation, local hosting, and governance reporting. |
Cross-departmental collaboration (procurement, sales, operations) | LEGALFLY | Enables safe self-service and faster approvals across non-legal teams. |
Research-heavy practices (litigation, tax, academic law) | Harvey AI | Strong research and citation tools suited to complex advisory work. |
Contract review and clause comparison | LEGALFLY | Automates clause-level review, deviation detection, and plain-language summaries. |
Regulatory tracking and compliance reporting | LEGALFLY | Legal Radar monitors new regulations and maps them to affected contracts and policies. |
Due diligence and multi-document review | Either solution | Core use case for both solutions allowing you to process 50+ documents at once to extract key terms, risks, and renewals. |
Policy drafting and internal governance | LEGALFLY | Creates consistent, compliant documents from templates with minimal manual input. |
External client advisory work | Harvey AI | Optimised for professional services and client deliverables. |
Cross-border and multilingual legal work | LEGALFLY | LLM-agnostic design adapts to jurisdiction and language requirements. |
AI governance and data privacy control | LEGALFLY | Anonymises all sensitive data before processing, ensuring control and auditability. |
Fast-scaling in-house teams needing automation | LEGALFLY | Delivers speed, accuracy, and control without increasing headcount or risk. |
The bottom line: law firm AI vs in-house legal AI
Both Harvey AI and LEGALFLY are leaders in legal technology, but they solve different problems.
Harvey modernises the law firm.
LEGALFLY modernises legal inside the enterprise.
If your priority is speed without losing control, accuracy without exposure, and AI that respects privacy by design, LEGALFLY is the clear choice for 2025 and beyond.
LEGALFLY is the secure legal AI for in-house teams. Get a demo to see how it fits into your workflows.
Note: this information was last updated in Q4 2025. For the most up-to-date view of features, always check with the provider.
