Associate, Applied Behavioural Research, AI Transformation
On-siteLondon, England, United Kingdom
Job Summary
Design and run mixed-methods studies on how legal professionals build real proficiency with AI tools, distinguishing genuine capability growth from surface-level usage. Build and validate surveys, interview protocols, and quantitative measures to ensure findings hold up to scrutiny from product and executive stakeholders. Analyze usage and outcome data directly to surface patterns in adoption success across firms and practice areas. Translate research findings into concrete recommendations for product features, onboarding, and customer enablement programs. Communicate insights through written reports, presentations, and dashboards that inform decisions made by leadership. Prioritize next study topics by balancing depth on high-value questions against breadth across a fast-moving customer base.
Required Qualifications
- 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.
Desired Qualifications
- 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 alone.
- Published or internal writing on skill development, technology adoption, or human-AI collaboration.
- Comfort operating in a smaller, faster-moving company after time at a larger organization.
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