Tools & ProjectsNovember 02, 2026
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Legora hits $8.8B without a frontier model

Jacob Lauritzen, CTO of Legora, explains how his team builds legal agents without seeing client data, relying on simulated test environments and a large team of legal engineers.

#AI agents#legal tech#evals#Legora
Legora: 8,8 Milliarden ohne eigene Modelle
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šŸ”„ What happened Legora raised $550M at an $8.8B valuation, just seven months after its last round. The Stockholm startup crossed $100M ARR in April, less than 18 months post-launch, and now serves over 1,800 customers. šŸ’” Why it matters Instead of building a frontier model, Legora runs on Azure, post-trains open-weight models for niche tasks, and evaluates agents without ever seeing customer data: six people build RL environments, including a 10,000-file data room for due diligence. CTO Jacob Lauritzen estimates models already handle about 60% of legal work well — the rest is a cost and latency problem. ⚔ Our take Anyone betting the legal AI market goes to the best model is missing the point. Legora wins on primitives, process, and a bench of legal engineers — the software is replaceable, the workflows aren't.
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