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Applied Researcher (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
UK

Описание вакансии

Текст:
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TL;DR
Applied Researcher (AI): Designing and executing mixed-methods studies to measure how legal professionals adopt and build proficiency with AI tools with an accent on quantitative and qualitative data analysis. Focus on translating adoption patterns into concrete product recommendations and improving human-AI collaboration.

Location: On-site in London

Company

Legora is an AI-native workspace redefining legal work through high-precision document analysis and end-to-end workflows for world-class legal teams.

What you will do

  • Design and run mixed-methods studies to distinguish genuine capability growth from surface-level AI usage among legal professionals.
  • Build and validate surveys, interview protocols, and quantitative measures to ensure findings are rigorous and actionable.
  • Analyze usage and outcome data directly using Python and standard research tooling to identify adoption patterns.
  • Translate research findings into concrete recommendations for product features, onboarding, and customer enablement.
  • Communicate insights through written reports, presentations, and dashboards to inform leadership decisions.
  • Help prioritize the research roadmap by balancing depth on high-value questions with breadth across the customer base.

Requirements

  • Research background in applied social science, human-computer interaction (HCI), organizational psychology, or a related quantitative/qualitative discipline.
  • Solid mixed-methods skills, including survey design, basic psychometrics, and structured interviewing.
  • Hands-on technical proficiency in Python and data analysis to run independent analyses.
  • Experience conducting applied research within large, complex organizations or enterprise technology environments.
  • Ability to derive insights from messy, real-world customer adoption data.
  • Strong written and verbal communication skills with a track record of influencing product and business stakeholders.

Nice to have

  • Experience with A/B testing and experimentation frameworks in a product or enterprise software context.
  • Prior exposure to legal, professional services, or other high-stakes expertise-driven industries.
  • Experience partnering directly with customers to identify and understand adoption barriers.
  • Published work or internal writing on skill development, technology adoption, or human-AI collaboration.
  • Comfort transitioning from a large organization to a fast-paced company environment.

Culture & Benefits

  • High-performance environment prioritizing ownership and outcomes over titles.
  • Culture of excellence with a focus on direct, ego-free feedback.
  • Collaborative atmosphere centered on growing together as a team and with customers.
  • Inclusive workplace committed to diversity of thought and equal opportunity.