Building an AI-Native Software Company With Legora CEO Max Junestrand | Ep. 44

ℹ️ EPISODE INFO

Released

March 12, 2026

Duration

49m

Channel

Uncapped with Jack Altman

Watch on YouTube

▶ Open ↗

📝 EPISODE DESCRIPTION

At 23, with no legal background, Max Junestrand co-founded Legora to transform how lawyers work. Legora recently (March 2026) raised $550 million at a $5.55 billion valuation in a Series D funding round to accelerate its expansion across the United States. Over the past year, Legora has grown from 40 to 400 team members across the globe and the platform supports tens of thousands of lawyers each day across 800 customers in more than 50 markets. Max shares the story of building Legora, what it really means to build AI-native software from day one, why legal work is uniquely suited for AI, and how a small team from Stockholm convinced some of the world’s largest law firms to change how they work. Timestamps: (0:00) Intro (0:31) Legora's origin story (9:05) Building an AI-native company (18:16) No sacred cows, the models will be amazing (27:36) Winning pilots and global expansion (36:43) Starting in Europe (47:15) Stockholm culture and "blodsmak" Links: https://x.com/MaxJunestrand https://x.com/chetanp https://x.com/jaltma https://legora.com/ https://uncappedpod.com/ friends@uncappedpod.com

🎤 SPEAKERS

• Max Junestrand

  guest

  CEO of Legora (legal AI software company) and the primary interview guest discussing the company’s product, growth, and fundraising.

• Jack Altman

  host

  Host of “Uncapped with Jack Altman,” leading the interview and introducing/questioning the guest(s).

🧾 EPISODE SUMMARY

In this episode of Uncapped with Jack Altman, featuring Max Junestrand and Jack Altman, Building an AI-Native Software Company With Legora CEO Max Junestrand | Ep. 44 explores legora CEO on building an AI-native legal software juggernaut fast Legora bet early that foundation models would rapidly improve, so differentiation would come from application-layer workflows, guardrails, and enterprise-grade trust rather than training bespoke models.

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