AI applications & software · Industry Index 8 (rank #161) · $5.5B — Series D, 2026-03 — $550M led by Accel at a reported $5.55B post-money valuation (Crunchbase News, 2026-03)editorial estimate
ⓘ Data freshness
price: no data index: as of 2026-10-29 fundamentals: no data No structured SEC filings
Deep funding / news coverage runs mega-caps first — Legora is in the graph, but detailed data isn't ingested yet.
AI platform for legal professionals delivering contract review, due diligence, legal research and multi-document agents into Microsoft Word and SharePoint. Deliberately model-agnostic, building on third-party frontier models rather than its own.
Industry exposure 1.0 (Pure-play AI application for legal work; contract review, due diligence and research are all model-driven.)
Signal
signal: no data
Not scored (private). Legora is a private company, so its directional signal is not published.
Relationship network
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Microsoft — partner
OpenAI — supplier
RELX plc — competitor
Key relationships
Microsoft — partner · Legora runs on Microsoft Azure using Azure OpenAI Service, and integrates into Microsoft Word and SharePoint as its working surface. source: microsoft.com
OpenAI — supplier · Legora uses OpenAI GPT-4o and o1 models, accessed through Azure OpenAI Service. source: microsoft.com
RELX plc — competitor · LexisNexis's Protege Work integrates into Microsoft Word and Outlook, the same surface Legora sells into; the article contrasts LexisNexis's scale against Legora's $100M ARR. source: nonbillable.co.uk
Unusual options activity needs a US-listed instrument; this company has none.
Not scored (private)
We don’t publish a directional call for private companies.
No moat profile yet. The durable competitive advantage — moat, leadership, and pricing power — is curated for flagship names first; Legora isn't covered yet. Nothing here is fabricated in its absence.
Signal contribution
The moat prior — a subjective, non-backtested editorial input — only nudges the long (~6-month) horizon, and it isn't scoring Legora yet (directional scores are withheld for private companies). Nothing here is fabricated in its absence.
Owns the customer relationship and the workflow at real scale, and is the clearest counter-example in this vertical: it declines the model layer as a matter of strategy rather than capability. Data and evals are undocumented in the sources fetched.
Serves 1,000+ law firms and in-house legal teams across 50+ markets with tens of thousands of legal professionals using it daily; named clients include White & Case, Cleary Gottlieb, Goodwin, Linklaters, Dentons, Deloitte, Blackstone and Barclays. source: bvp.com
Looked for a proprietary corpus, an exclusive data licence or a data asset the company claims as its own and found none in the fetched sources; the described strategy is scaffolding and UX on top of foundation models, which is silent on data ownership. Absence of evidence, not evidence of absence. source: bvp.com
Looked for a published legal evaluation methodology, a named benchmark or a model card and found none in the fetched sources. The company is reported to evaluate and route across roughly ten models, but that is internal model selection rather than a domain benchmark it owns and publishes. source: bvp.com
Contract review, due diligence, legal research, multi-document Tabular Review and AI Agents run in the platform, surfaced into Microsoft Word and SharePoint for annotation and redlines — the analysis is Legora's, the surface is Microsoft's. source: microsoft.com
Explicitly does not build proprietary models: the stated bet is that betting against the model companies is a losing strategy, so the company builds the scaffolding, software and user experience on top of third-party frontier models, using GPT-4o and o1 via Azure OpenAI Service. source: bvp.com
Legora's March 2026 Series D announcement states the platform "supports tens of thousands of lawyers each day across 800 customers in more than 50 markets," naming White & Case, Cleary Gottlieb, Goodwin, Linklaters, Dentons and Deloitte among them - daily workflow use, not occasional assist. CEO Max Junestrand frames US buyers as having moved "from experimentation to embedding AI across their organisations." Where firms disclose intensity it runs high: on Legora's customer page, BAHR's managing partner reports "as much as 80% of our people are active users, and as high as 30% use Legora more than ten times a day." Headroom is still being built against, with more than 300 US employees and new Houston and Chicago offices planned by end-2026. source: legora.com
A paired axis, not a sixth band: it is never counted in the pattern above and the two are never averaged into one score.
customer: Over 1,000 law firms and in-house legal teams across more than 50 markets, with tens of thousands of legal professionals using the platform daily. (1,000+ firms) 2026-04-01source: bvp.com
revenue: Surpassed $100 million in annual recurring revenue in April 2026, roughly 18 months from founding. ($100M ARR) 2026-04-01source: bvp.com
Scouted against the condition: a company that simultaneously owns the customer relationship, the data, the evals, the workflow, and a domain-specific model. Weightless — this profile never affects a signal, and it is not a forecast of returns.
No structured SEC filings. Legora does not file XBRL with the SEC; see funding rounds under Investors.
Funding rounds
No recorded funding rounds.
Headline valuation: $5.5B — Series D, 2026-03 — $550M led by Accel at a reported $5.55B post-money valuation (Crunchbase News, 2026-03) editorial estimate
