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Legora

Legora

The $30K/year European legal AI Big Law is stacking against Harvey

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About

Legora is a Stockholm-founded legal AI platform that closed a $550M Series D in March 2026 — the largest European legal-tech round of the cycle, and a signal that BigLaw doesn't want Harvey to win uncontested. The product sits on three pillars where most competitors ship one or two.What you actually getAI Assistant is the chat surface — grounded in the firm's own documents, playbooks, and matter context. It cites sources so partners can verify before sending to a client.Microsoft Word add-in is where Legora separates from the pack. Real lawyers redline in Word, not in a SaaS canvas. Legora's add-in applies firm playbooks to incoming contracts at scale — comment, suggest, accept, reject — without leaving the document. This is the workflow Spellbook and Harvey are still catching up on.Tabular Review is the diligence tool. Point it at a thousand contracts; pull structured obligations, dates, party names, governing law, and indemnity carve-outs into one table. M&A diligence teams have priced this out at 80% time savings versus manual review.Pricing realityList price is roughly $3,000/user/year with a 10-seat minimum — call it a $30K floor. Real BigLaw deals run higher with custom integrations and matter-volume tiers. There is no self-serve trial; sales-led only.Who buys itLarge law firms doing M&A and regulatory work. Corporate in-house teams at GDPR-bound companies who can't ship their docs through a US-only vendor. Anyone who needs a defensible audit trail on AI-assisted work product.Related reading on Skila AIClaude for Word vs. specialized legal AI — how Anthropic's general-purpose Word integration compares to vertical players like LegoraClaude Design — the Anthropic-ecosystem alternative for teams already standardized on ClaudeToday's ranking of fastest AI image generators — the speed-vs-quality framing applies to legal AI tooVerdictIf you're a European firm or a US firm with EU exposure and you do enough M&A or compliance work to justify the floor, Legora is the strongest legal AI on the market right now. If you're a solo or a small firm under 10 lawyers, the pricing is a no-go — look at Spellbook instead.

Key Features

  • AI Assistant — chat grounded in firm-specific documents and playbooks
  • Microsoft Word add-in for playbook-driven redlining at scale
  • Tabular Review — bulk structured-data extraction across thousands of documents in one pass
  • GDPR-native, European-headquartered (Stockholm) data residency
  • Integrations with iManage and SharePoint for matter-aware context
  • Audit trails and citation-grounded answers for defensible work product
  • Multi-language support tuned for EU jurisdictions
  • Enterprise SSO and role-based access for BigLaw deployments

Use Cases

  • 1M&A due diligence — accelerate document review for transaction matters
  • 2Compliance and regulatory review — extract obligations from contracts at portfolio scale
  • 3Contract redlining — apply firm playbooks across new agreements via the Word add-in
  • 4In-house legal triage — answer routine business questions grounded in firm precedent
  • 5Litigation document review — pull structured facts from large discovery sets via Tabular Review

Pros

  • Three-pillar architecture (Assistant + Word add-in + Tabular Review) — most competitors ship one or two
  • Word add-in is best-in-class for playbook redlining workflows lawyers actually do
  • European data residency and GDPR posture is a real differentiator vs. US-first vendors
  • Series D ($550M, March 2026) gives runway most competitors don't have
  • Public BigLaw deployments make it easy to reference-check before signing

Cons

  • Pricing is opaque — $3,000/user/year is the published number, but real deals often go higher
  • 10-seat minimum (~$30K floor) puts it out of reach for small firms
  • Locked to MS Word as the redlining surface — Google Docs users get less
  • Less brand recognition in US market than Harvey or Spellbook
  • Tabular Review is powerful but has a learning curve for non-technical teams

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