AI Adoption Manager - Communities

Descripción del puesto

About Us 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 This is a founding role for a brand-new advisory offering: and you'll be its face. When a firm rolls out Legora, the technology is only half the battle; the rest is people, habits and culture. We're launching a premium advisory engagement to own that half, and you'll help build it and deliver it in front of clients. You'll represent Legora externally to some of the most prestigious law firms in the world, standing up champion networks inside each firm, where their most influential users trade real use cases, ROI stories and deployment approaches. You'll design the education around them, including, learning tracks, webinars, adoption toolkits and role-based