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Associate, Applied Behavioural Research, AI Transformation

Organismo
Legora
País
🇬🇧 Reino Unido
Lugar
London
Puestos
1
Tipo de vínculo
privado

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. About the role Legal work is being reshaped by AI faster than most firms can measure. Our AI Transformation & Applied Behavioural Research function exists to close that gap: we study how lawyers and legal teams actually adopt, trust, and build skill with AI, and we turn that evidence into changes across our product, customer enablement, and go-to-market motion. As an Applied Behavioural Researcher on the team, you will bring rigor to how we measure adoption and capability growth, not just usage. You'll design the studies, build the instruments, and work the data yourself, then translate what you find into recommendations that product, customer success, and leade

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