AI Software Engineer

Legora is redefining how legal work gets done. Not built for lawyers, built with them. We work alongside the world’s best legal teams, who expect excellence, precision, and speed, and we hold ourselves to the same bar. Our AI-native workspace lets legal professionals move faster, think more clearly, and operate with sharper precision. By analysing thousands of documents in minutes and powering end-to-end workflows, we cut through complexity, teams can focus on what matters: judgment, strategy, and outcomes. 1,000+ customers across 50+ countries trust us, including Cleary Gottlieb, Goodwin, Linklaters, White & Case, Dentons, and Barclays. We’ve scaled to $100M+ in ARR, with teams across Europe, North America and APAC, and continue to expand through acquisitions including Qura, Walter AI and Graceview. We partner with world-class performers: including Aaron Judge and the New York Yankees, Ludvig Åberg (and his caddie), and campaigns featuring Jude Law. Joining Legora means three things.

We lean in: ownership over titles, outcomes over intentions.

We fight for excellence: high standards, direct, ego-free feedback.

We grow together: as a team and with our customers.

Mission before ego. Everyone contributes. No one coasts.

If you’re driven by impact, pace, and raising the bar. This is the place.

The role

Are you ready to take your AI career to the next level? At Legora, we’re on a mission to revolutionize the legal industry with cutting-edge AI and LLM tech. We’re seeking software engineers to join our fast-moving team, where you’ll work on technically difficult projects with the support of an amazing team, and help redefine how legal professionals work.

This is a Stockholm-based, 5-day in-office role, we believe building together in person drives better outcomes.

What you will be doing:

Architect and implement AI and LLM features end-to-end for our web platform

Build systems that let lawyers work with complex documents through grounded, reliable AI — including document upload, processing, retrieval, citations, and long-context reasoning