Harvey AI vs Legora (2026)
Side-by-side comparison of Harvey AI vs Legora: pricing, capabilities, integrations, deployment complexity, and ratings. Last updated November 8, 2026 by Heather MacAvelia.
Data sourced from The AI Agent Index
Harvey and Legora sell the same kind of product: an agentic AI platform that researches, reviews documents and drafts for law firms and corporate legal teams, sold by quote after a demo. Harvey was founded in 2022. Legora was founded in Stockholm in 2023 and became generally available in October 2024. Both made the 2026 CNBC Disruptor 50 list, Harvey at No. 24 and Legora at No. 36. In autumn 2026 each raised USD 550 million: Harvey in September at a USD 15.5 billion valuation, and Legora in a Series E on 21 October at USD 8.8 billion. The clearest difference is which direction each one connects. Harvey works both ways over MCP: it connects out to other tools, and it also publishes its own MCP server and a public API, with setup guides for Claude, Gemini and Microsoft 365 Copilot, so a team can call Harvey from inside another AI assistant. Legora is an MCP client. Since February 2026 it connects to any MCP server, including DocuSign, HubSpot and Microsoft Teams, and passes files securely, but we found no public API or developer documentation. Harvey also runs a curated Connector Library, generally available since 21 October 2026, which held more than 50 connectors when we counted in November 2026, from Everlaw and Datasite to DocuSign and NetDocuments. For firms whose files live in iManage, read the integration pages closely. Legora saves work back to iManage as new versions with the original permissions, and it enforces ethical walls through Intapp Walls and iManage Security Policy Manager. Harvey connects to iManage today, and at its FORUM Chicago event on 5 November 2026 it said a two-way iManage integration would enter early access soon. The security row is longer for Harvey, and most of the difference is government work. Both list SOC 2 Type II, ISO 27001, ISO 42001 and GDPR, which covers what most commercial legal buyers ask for. Harvey adds ISO 27701, AIUC-1, CCPA and three public-sector authorizations: TX-RAMP, Australia's IRAP, and FedRAMP Class D, which applies to Harvey for Government running inside Knox Systems' authorized cloud (October 2026). Legora's security and facts pages list no government authorization, so for a buyer that needs FedRAMP only Harvey is in the running. Both state in writing that they do not train models on customer data, so the matching Data training cells mean the same thing on both sides. Neither is built on one in-house model. Harvey's trust center lists OpenAI, Anthropic, Google and Mistral as AI subprocessors, and in September 2026 Harvey announced its own post-trained open-weight model. Legora describes its product as an agentic harness over general-purpose models, and it lists bring-your-own-key (BYOK) support and single sign-on. Harvey is also buying companies: Aida, announced on 29 October 2026, was its fifth acquisition of the year, after Benchmark in July and Guardrails AI in September. A few rows in the table need a word. Both show custom pricing and an unpublished contract term because neither vendor publishes a price or a term, so cost is set in a quote and can only be compared in procurement. Neither publishes a setup time either: Harvey's cell says so in words and Legora's shows a dash, and they mean the same thing. Both G2 profiles are small, so treat that row as an early signal rather than a verdict. The gap in our editorial rating comes from our autonomy and integration-depth scores, not from user reviews. Neither offers a self-serve trial, so a side-by-side pilot on your own matters is the realistic way to decide.
Harvey AI
by Harvey
Enterprise legal AI platform whose Harvey Agents run legal work end to end. Raised $550M at a $15.5B valuation in September 2026. 200K+ professionals. SOC 2 Type II, FedRAMP Class D.
Best for
Large law firms, corporate legal teams and public-sector buyers that need FedRAMP, want to call legal AI from other assistants through an MCP server or API, or want a broad connector library
Legora
by Legora
Legora's agentic operating system runs legal research, document review and drafting for law firms and in-house teams, in its editor, Word, Outlook and mobile apps. Quote-only pricing.
Best for
Law firms and in-house teams that keep documents in iManage and want work saved back with permissions and ethical walls enforced, in one agentic workspace that also runs in Word and Outlook
Capabilities
Harvey AI
Legora
Pros & Limitations
Editorial assessmentHarvey AI
Pros
- ✓Harvey Agents execute complex legal work end to end: from contract analysis and due diligence through drafting and research, agents plan the work, split large tasks across parallel agents, and return cited, review-ready output without step-by-step attorney direction. Scheduled Agents can also run recurring work in the background.
- ✓Deep enterprise adoption and backing: Harvey states that more than 200,000 professionals at over 3,500 law firms and in-house legal teams use it, named clients include Dentons, KKR, Bridgewater, PwC, Deutsche Telekom, and Procter and Gamble, and it raised $550M at a $15.5B valuation in September 2026.
- ✓Works where legal teams already work: iManage, NetDocuments, SharePoint, Google Drive and Box connections, Word and Outlook add-ins, LexisNexis research content, and MCP in both directions, with a first-party MCP server for outside assistants and MCP connectors that pull in PitchBook, Datasite and SS&C Intralinks data.
Limitations
- –Enterprise-only pricing with no public price list and no self-serve plan, so every deployment starts with a sales conversation and buyers cannot compare cost before a demo. Spellbook and CoCounsel ($360/mo billed annually) are two alternatives that teams comparing legal AI platforms can evaluate.
- –Harvey publishes no setup or implementation timeline and offers no self-serve trial, so firms cannot switch it on and evaluate it on their own before engaging Harvey sales. Several new capabilities are still in early access, including Intake for in-house contract requests and the litigation fact graph, and firm admins carry the governance work of choosing which connectors and tool actions are permitted.
- –Independent review volume is small relative to adoption: the G2 and Gartner Peer Insights corpora each hold well under fifty reviews, against more than 200,000 professionals using the platform.
Legora
Pros
- ✓One Agent works across Legora's editor, the Word and Outlook add-ins, the web workspace and iOS and Android apps.
- ✓iManage integration saves edits back as new versions and keeps document permissions and ethical walls in place.
- ✓SOC 2 Type II, ISO 27001 and ISO 42001, with customer-managed encryption keys and no training on customer data.
Limitations
- –No published prices, plan names or contract terms, and no free plan or self-serve trial before a sales demo.
- –Integration functionality and availability vary by integration and are confirmed by the Legora team for each organization.
- –G2 and App Store ratings come from fewer than 25 reviewers combined as of November 2026.
Frequently asked questions
What is the difference between Harvey AI vs Legora?
Harvey and Legora sell the same kind of product: an agentic AI platform that researches, reviews documents and drafts for law firms and corporate legal teams, sold by quote after a demo. Harvey was founded in 2022. Legora was founded in Stockholm in 2023 and became generally available in October 2024. Both made the 2026 CNBC Disruptor 50 list, Harvey at No. 24 and Legora at No. 36. In autumn 2026 each raised USD 550 million: Harvey in September at a USD 15.5 billion valuation, and Legora in a Series E on 21 October at USD 8.8 billion. The clearest difference is which direction each one connects. Harvey works both ways over MCP: it connects out to other tools, and it also publishes its own MCP server and a public API, with setup guides for Claude, Gemini and Microsoft 365 Copilot, so a team can call Harvey from inside another AI assistant. Legora is an MCP client. Since February 2026 it connects to any MCP server, including DocuSign, HubSpot and Microsoft Teams, and passes files securely, but we found no public API or developer documentation. Harvey also runs a curated Connector Library, generally available since 21 October 2026, which held more than 50 connectors when we counted in November 2026, from Everlaw and Datasite to DocuSign and NetDocuments. For firms whose files live in iManage, read the integration pages closely. Legora saves work back to iManage as new versions with the original permissions, and it enforces ethical walls through Intapp Walls and iManage Security Policy Manager. Harvey connects to iManage today, and at its FORUM Chicago event on 5 November 2026 it said a two-way iManage integration would enter early access soon. The security row is longer for Harvey, and most of the difference is government work. Both list SOC 2 Type II, ISO 27001, ISO 42001 and GDPR, which covers what most commercial legal buyers ask for. Harvey adds ISO 27701, AIUC-1, CCPA and three public-sector authorizations: TX-RAMP, Australia's IRAP, and FedRAMP Class D, which applies to Harvey for Government running inside Knox Systems' authorized cloud (October 2026). Legora's security and facts pages list no government authorization, so for a buyer that needs FedRAMP only Harvey is in the running. Both state in writing that they do not train models on customer data, so the matching Data training cells mean the same thing on both sides. Neither is built on one in-house model. Harvey's trust center lists OpenAI, Anthropic, Google and Mistral as AI subprocessors, and in September 2026 Harvey announced its own post-trained open-weight model. Legora describes its product as an agentic harness over general-purpose models, and it lists bring-your-own-key (BYOK) support and single sign-on. Harvey is also buying companies: Aida, announced on 29 October 2026, was its fifth acquisition of the year, after Benchmark in July and Guardrails AI in September. A few rows in the table need a word. Both show custom pricing and an unpublished contract term because neither vendor publishes a price or a term, so cost is set in a quote and can only be compared in procurement. Neither publishes a setup time either: Harvey's cell says so in words and Legora's shows a dash, and they mean the same thing. Both G2 profiles are small, so treat that row as an early signal rather than a verdict. The gap in our editorial rating comes from our autonomy and integration-depth scores, not from user reviews. Neither offers a self-serve trial, so a side-by-side pilot on your own matters is the realistic way to decide.
Which is best for my team: Harvey AI vs Legora?
Harvey AI is best for: Large law firms, corporate legal teams and public-sector buyers that need FedRAMP, want to call legal AI from other assistants through an MCP server or API, or want a broad connector library. Legora is best for: Law firms and in-house teams that keep documents in iManage and want work saved back with permissions and ethical walls enforced, in one agentic workspace that also runs in Word and Outlook.
How does pricing compare between Harvey AI vs Legora?
Harvey AI uses a custom model with pricing on request. Legora uses a custom model with pricing on request.
View full Harvey AI profile
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View full Legora profile
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