Glean vs Harvey AI

Detailed side-by-side comparison to help you choose the right tool

Glean

🟢No Code

Knowledge Management

Enterprise Work AI platform: a permissions-aware search index across 100+ SaaS apps, an Assistant that answers questions over company knowledge, plus an Agent Builder for no-code horizontal AI agents.

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Starting Price

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Harvey AI

🟢No Code

Legal AI

an AI platform for legal and professional-services work, including assistants, document analysis, knowledge research, vault storage, and legal agents.

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Starting Price

~$1,000/lawyer/month

Feature Comparison

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FeatureGleanHarvey AI
CategoryKnowledge ManagementLegal AI
Pricing Plans40 tiers238 tiers
Starting PriceContact~$1,000/lawyer/month
Key Features
  • Enterprise search across workplace apps, documents, conversations, and knowledge bases
  • AI assistant for asking questions against company knowledge with permission-aware retrieval
  • Agent and workflow capabilities for automating knowledge-heavy internal tasks
  • Legal-specific AI models trained on extensive legal corpora from OpenAI and Anthropic foundation models, delivering domain-accurate analysis with minimized hallucination risk
  • Advanced contract intelligence and analysis engine for extracting key provisions, identifying risks, and comparing terms against firm playbooks across large document portfolios
  • Comprehensive litigation support and e-discovery capabilities including document review, relevance classification, privilege screening, and case law research

💡 Our Take

Choose Glean if you need a horizontal enterprise AI platform spanning Slack, Salesforce, Jira, Confluence, and 100+ other systems across all departments. Choose Harvey AI if you're a law firm or in-house legal team needing purpose-built legal workflows like contract analysis, case research, and litigation drafting — Harvey's vertical depth in legal beats Glean's generalist approach for that specific use case.

Glean - Pros & Cons

Pros

  • Permissions-aware index across 100+ SaaS connectors is the cleanest ACL-respecting implementation in enterprise Work AI
  • BYO-LLM model layer avoids vendor lock-in and lets security pick the model and region
  • Pre-built agent marketplace plus no-code Agent Builder lets IT roll out common workflows without writing code

Cons

  • Sales-led pricing with no public per-seat list price slows budget approvals (this entry needs manual pricing verification)
  • Deployment is real work — connector configuration, ACL validation, and rollout commonly take weeks
  • No first-party MCP server; MCP-style tool integrations require custom adapters built over the Glean API

Harvey AI - Pros & Cons

Pros

  • Purpose-built for law firms and professional-services teams rather than generic consumer AI.
  • Strong fit for legal research, drafting, document analysis, Vault-style knowledge workflows, and domain-specific agents.
  • Enterprise positioning makes security, governance, and deployment conversations part of the product rather than an afterthought.

Cons

  • No reliable public self-serve pricing was visible in fetched vendor pages; expect custom enterprise sales.
  • Overkill for solo users who only need occasional document summaries or first-draft writing.
  • Legal AI still requires professional review; hallucinated citations, jurisdiction issues, and privilege handling must be controlled.

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🔒 Security & Compliance Comparison

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Security FeatureGleanHarvey AI
SOC2✅ Yes✅ Yes
GDPR✅ Yes✅ Yes
HIPAA
SSO✅ Yes✅ Yes
Self-Hosted❌ No❌ No
On-Prem❌ No❌ No
RBAC✅ Yes✅ Yes
Audit Log✅ Yes✅ Yes
Open Source❌ No❌ No
API Key Auth✅ Yes
Encryption at Rest✅ Yes✅ Yes
Encryption in Transit✅ Yes✅ Yes
Data ResidencyUS
Data Retentionconfigurableconfigurable
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