Legora

The collaborative AI workspace built for how lawyers actually work — research, review, draft, and execute together.

Business & Finance Enterprise
Researched · Published · Reviewed
RECATOOLS Score
8.2 / 10
Capability
9
Value for money
6.5
Ease of use
8
ASEAN readiness
7.5
API quality
4
Founded
2023
HQ
Stockholm, Sweden
Users
Tens of thousands of legal professionals; 800+ law firms and in-house legal teams
Launched
Founded 2023; operated as Leya before Feb 2025
Developer
Legora AB

Overview

Legora (founded 2023 in Stockholm as Leya, rebranded February 2025) is an enterprise legal AI platform purpose-built for law firms and in-house legal teams. Its core products — Agent, Editor, Tabular Review, Research, Monitors, and Portal — sit inside a unified agentic operating system (Legora aOS) that connects a firm's documents, playbooks, precedents, and legal databases into one collaborative workspace. Lawyers interact via a browser interface, a Microsoft Word add-in, and an Outlook add-in, letting teams review thousands of documents in tabular grids, draft from precedents, run multi-step agentic workflows, and share work product with clients through a secure branded portal. The platform is model-agnostic (routing across OpenAI and Anthropic), built on Azure with SOC 2 Type II, ISO 27001, and ISO 42001 certifications, and supports over 33 languages including Arabic, Spanish, and the major European languages.\n\nFounded by Max Junestrand (CEO) and Sigge Labor (President), along with co-founder August Erséus, Legora is a Y Combinator Winter 2024 alumnus that crossed $100 million in ARR by early 2026. Its March 2026 Series D of $550 million led by Accel — with Benchmark, Bessemer, General Catalyst, ICONIQ, Redpoint, Bain Capital, Salesforce Ventures, and Menlo Ventures — valued the company at $5.55 billion. A $50 million Series D extension in April 2026 added Nvidia (NVentures), Atlassian, Barclays, and Airtree, lifting the post-money valuation to $5.6 billion and total funding to over $800 million. Named clients include Cleary Gottlieb, Linklaters, White & Case, Baker McKenzie, Bird & Bird, and Barclays.

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Pricing

Pricing shown for reference only. These figures reflect RECATOOLS research as of 11 Jul 2026 and may be out of date or incomplete. This is not financial or purchasing advice — always confirm the current price on the provider’s official website before making any decision.

Included Agent
Included
Baseline research/drafting agent bundled with every seat.
  • Research & drafting
  • Tabular review
Enterprise
Custom
Firm-wide contract; historically $30k/yr minimum.
  • SOC 2 / ISO 42001
  • Dedicated onboarding

Use cases

Large-scale due diligence: reviewing thousands of deal documents in tabular grids to extract and compare clauses across a data room Contract drafting and redlining in Microsoft Word using firm playbooks, precedents, and AI-suggested markup Agentic legal research combining internal DMS, external legal databases, EDGAR, and web sources into a single cited output Client collaboration via secure branded Portal, enabling firms to share AI-generated work product and review threads with in-house teams Regulatory monitoring with Legora Monitors tracking changes in case law and statutory updates across defined practice areas

What you can produce with Legora

  • Tabular document review grid extracting and comparing clauses across hundreds or thousands of uploaded documents
  • AI-drafted memo or contract in Microsoft Word with redlines, playbook application, and tracked changes
  • Agentic research report with citations verified against internal and external legal sources
  • Secure client-facing Portal with shared annotations, AI outputs, and branded firm workspace
  • Regulatory change alerts delivered to subscribed users when monitored practice areas are updated
  • Automated due diligence workflow covering document triage, clause extraction, and issue flagging with a complete audit trail
  • Multi-jurisdictional legal research summary with multilingual analysis and drafting across global legal databases
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ASEAN Perspective

Legora in Southeast Asia

Legora made its APAC debut with a Sydney office in 2025, then in May 2026 opened offices in Singapore and Tokyo — directly responding to demand from global firms managing cross-border APAC work, including Baker McKenzie, Dentons, White & Case, K&L Gates, MinterEllison, and Allens. The Singapore office is positioned as the regional hub for international firms and in-house legal teams managing APAC operations from the city-state, which is significant for the region's large arbitration and M&A practices. Platform language support (33+ languages) and the Al Tamimi Arabic partnership suggest Legora is building genuine multilingual depth, though coverage of ASEAN-specific local law content (Indonesian, Thai, Vietnamese statutory databases) is not yet confirmed. Pricing at a $30,000+ annual floor places Legora out of reach for most local ASEAN firms, making it primarily relevant to Magic Circle, Silver Circle, and US-headquartered firms with regional offices in Singapore or Kuala Lumpur.

RECATOOLS Verdict

Legora crossed $100 million ARR in April 2026 and now counts over 1,200 law firms and in-house teams across 50-plus markets, including Linklaters, White & Case, and Barclays — real usage, not just funding-round headlines. The bigger news is structural: in June 2026 Legora moved its top-tier Agent Pro product off per-seat licensing onto consumption-based billing tied to the matter that triggered each run, betting that legal AI's variable compute costs don't fit a flat seat price. Expect Harvey and other rivals to follow.

None of this makes Legora cheap or self-serve. There's still no public price sheet, no free tier, and historically a $30,000/year floor before the pricing switch — the new consumption model hasn't published numbers either. Queries route through OpenAI and Anthropic's infrastructure, which some firms flag as a data-custody concern for privileged material. Best fit remains large firms with procurement teams; solo practitioners should look elsewhere.

Independent AI-assisted assessment by RECATOOLS.

What people say

Legal software has run on per-seat pricing since the PACER era, and in June 2026 Legora broke from it: Agent Pro, the platform's most capable tier, now bills on consumption — tied to the specific matter that triggered the AI run — while a lighter agent stays bundled into the base plan. It's a bet that per-seat licensing doesn't fit software whose compute cost swings with task complexity, and it's already pushing competitors to reconsider their own pricing.

The growth numbers are real, not just funding-round spin: $100 million-plus ARR as of April 2026, over 1,200 law firms and in-house teams across more than 50 markets, and named clients that include Linklaters, White & Case, Cleary Gottlieb, and Barclays. The $5.6 billion valuation from the April Series D extension (Accel, Nvidia's NVentures, Atlassian) tracks with that momentum.

Independent review data is thin — Legora sells almost exclusively through enterprise deals, so there's little public G2 or Capterra signal to check vendor claims against. What surfaces from buyers and analysts instead: pricing opacity (no public numbers even now, and a reported $30,000/year floor under the old seat model), a still-small team relative to the client base, and a recurring data-custody question since queries route through OpenAI's and Anthropic's infrastructure rather than staying fully in-house. For large firms with the budget and procurement muscle, the product itself gets little pushback — the concerns are all about cost and where the data goes.

Summary of public user & expert reviews, compiled by RECATOOLS.

Notable facts

  • Legora's co-founder Max Junestrand earned dual degrees in machine learning and business from KTH and SSE simultaneously while working full-time — he was around 22 when he started the company.
  • The company's valuation tripled in roughly five months: from $1.8 billion at its Series C in October 2025 to $5.55 billion at its Series D in March 2026.
  • Legora reports that its platform saves lawyers an average of 4.3 non-billable hours per week, and 42% of users say it has helped them win new business.
  • The company acquired real estate AI firm Cadastral in June 2026 and opened a New York City engineering hub the same week, signalling an aggressive move into commercial real estate legal work.

Frequently asked questions

Is Legora available to solo lawyers or small firms?
No — Legora requires a minimum of 10 seats (approximately $30,000/year at reported list pricing) and is sold exclusively through enterprise sales with a demo-first process. Solo practitioners and small firms should consider alternatives such as Spellbook or Harvey's smaller-firm offerings.
Does Legora train its AI on my firm's confidential documents?
Legora does not train foundation models; it is model-agnostic and routes tasks across OpenAI and Anthropic models via Microsoft Azure. The platform holds SOC 2 Type II, ISO 27001, ISO 42001, GDPR, and HIPAA certifications. Customer data is not used to train the underlying LLMs, though firms should review the enterprise Data Processing Agreement for specifics.
How does Legora compare to Harvey AI?
Both are enterprise-only legal AI platforms at similar price points. Legora's strength is collaboration — shared annotations, client portals (Portal), and firm-wide playbooks — making it well-suited for transactional and M&A teams. Harvey is generally considered stronger for US litigation research and has a higher overall valuation (~$8B). Neither offers a public API or free tier as of June 2026.

About this listing

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This entry was compiled from publicly available data including Legora's official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with Legora unless explicitly stated.

Data accuracy

Third-party AI tools update their pricing, features, availability, and policies frequently. Information here may be outdated by the time you read this — we make reasonable efforts to keep listings current, but cannot guarantee absolute accuracy.

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