Zignature Operational Signing
VS
Harvey AI Legal Intelligence

AI Legal Research vs.
AI-Powered Signing

Harvey AI and Zignature are not competitors—they are the two halves of a modern AI-powered legal practice. Harvey handles the research and analysis; Zignature handles the generation, signing, and automation.

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The Complete Legal AI Stack

Different tools for different stages of the contract lifecycle. Here is how Harvey and Zignature compare.

H

Harvey AI

Harvey is an intelligence layer for law firms. It uses large language models to assist with research, analysis, and deep document review.

  • Legal research & case law analysis
  • Complex M&A due diligence
  • Regulatory compliance analysis
  • Does NOT collect e-signatures

Zignature

Zignature is the operational layer for every industry. It handles the generation, execution, and automation of the document lifecycle.

  • Legally binding e-signatures
  • AI-powered field detection
  • CRM & workflow automation
  • MCP server for AI agents

Real-World Scenario: The AI-Driven Firm

A boutique law firm specializing in high-growth startups uses Harvey AI to conduct initial due diligence for their clients' fundraising rounds. Harvey scans thousands of pages of corporate records, flagging potential issues with intellectual property assignments and board consent minutes.

Once the issues are identified and new agreements are drafted, the firm switches to Zignature. They upload the revised IP assignment agreements, and Zignature's AI field detection automatically places signature tags for the founders and investors.

The firm's clients sign the documents on their phones while on the go. As each signature comes in, Zignature automatically updates the firm's client portal and files the executed PDFs in a secure, searchable repository. By combining Harvey's intelligence with Zignature's operational power, the firm delivers a client experience that is faster, more secure, and entirely AI-native.

Complementary Tools

Add Zignature to your legal AI stack to handle the execution layer.

Harvey AI

Use for: Deep research, litigation strategy, M&A analysis, and complex document drafting.

Stage: Intelligence

Zignature

Use for: E-signatures, client onboarding, CRM automation, and repository management.

Stage: Execution

Frequently Asked Questions

Everything you need to know.

What is Harvey AI used for?

Harvey AI is an artificial intelligence platform built specifically for legal professionals. It's used for contract review and redlining, legal research, regulatory analysis, due diligence in M&A transactions, drafting contracts and legal memos, and answering complex legal questions. It's trained on legal corpus data and designed to produce legally nuanced output that general AI models cannot reliably replicate. Harvey does not include e-signature functionality.

Can Zignature do AI contract review like Harvey?

Zignature includes AI document summarization — the ability to generate a plain-English summary of any document before or after signing. For the depth of contract review that Harvey provides (clause-level risk flagging, market-standard comparisons, redlining suggestions), Harvey remains the specialist tool. For legal teams, using both — Harvey for review, Zignature for execution — is the optimal workflow.

Who are Harvey AI's competitors?

Harvey's closest competitors in AI legal work are Spellbook (Microsoft Word-based AI contract drafting), Ironclad (CLM with AI features), Juro (CLM with AI summaries), and general-purpose AI models like Claude and GPT-4 with legal prompting. None of these are e-signature platforms. For the signing and execution step, Harvey users typically pair their AI review tool with DocuSign, Adobe Sign, or Zignature.