Harvey AI vs LEGALFLY: which legal AI is right for your team?

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?