Associate, Applied Behavioural Research, AI Transformation

Legora

Contract type

Ongoing

Work mode

100% remote

Experience

3 years

Job description

Design and run mixed-methods studies on how lawyers and legal professionals build real proficiency with AI tools, distinguishing genuine capability growth from surface-level usage
Build and validate the surveys, interview protocols, and quantitative measures the team relies on, so findings hold up to scrutiny from product, customer, and executive stakeholders
Analyze usage and outcome data directly, using standard research tooling, to surface patterns in how adoption succeeds or stalls across different firms and practice areas
Translate research findings into concrete recommendations for product features, onboarding, and customer enablement programs, working closely with product managers, customer success, and engineering
Communicate findings clearly through written reports, presentations, and dashboards that inform decisions made by the Director and wider leadership
Help prioritize what to study next, balancing depth on a few high-value questions against breadth across a fast-moving customer base
Company mission
Our AI Transformation & Applied Behavioural Research function exists to close the gap between how lawyers and legal teams actually adopt, trust, and build skill with AI, and to turn that evidence into changes across our product, customer enablement, and go-to-market motion

Core technologies

Python (Programming Language)

A research background in applied social science, human-computer interaction, organizational psychology, or a closely related quantitative/qualitative methods discipline
Solid mixed-methods skills: survey design, basic psychometrics, structured interviewing, and the judgment to pick the right method for the question at hand
Hands-on technical ability in Python and data analysis, comfortable enough to run your own analyses without needing to hand off to a data team
Experience running applied research inside a large, complex organization, or a similar enterprise technology environment
Comfort working with messy, real-world adoption data from customers rather than clean experimental datasets
Strong written and verbal communication, with a track record of getting research findings actually used by product and business stakeholders
Genuine interest in how AI is changing professional work, and specifically legal work
Strong candidates may also have: Experience designing or running experimentation frameworks (A/B testing) in a product or enterprise software context
Prior exposure to legal, professional services, or other expertise-driven industries where trust and correctness matter as much as speed
Experience partnering directly with customers to understand adoption barriers, rather than working from second-hand data
Python
Python (Programming Language)