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This role blends business analysis, product & project support, user enablement and governance operations to drive safe, value-driven technology adoption across Legal, OGL and Business Services. This role focuses on enablement, analysis, and adoption; it is not a technical IT role and is not responsible for building custom AI machine learning models.
Job Responsibility:
Conduct analysis to assess feasibility, impact and risks of AI and technology opportunities
Facilitate use-case discovery workshops and map processes to AI and technology scenarios (e.g., drafting, summarisation, search, data extraction, analysis)
Drive AI and technology adoption across Legal, OGL, and Business Services by understanding role-specific workflows and identifying AI and technology-enablement opportunities
Provide hands-on support for pilots and early-life adoption, transitioning to sustainable, self-serve use
Build trusted relationships with the business to foster understanding and adoption
Support structured change activities
Participate in user groups such as the Legal AI Working Group to share progress, capture feedback, and act as a conduit to service lines
Participate in ongoing technology reviews to capture outcomes and lessons learned
Design reusable AI prompts, patterns and templates and curate scenario playbooks for fee earners and business teams
Proactively identify opportunities to retire/retrain/update AI prompts, workflows and guidance
Define and track technology adoption, usage and value metrics (e.g. active users, depth of use, time saved, quality indicators)
Maintain dashboards and reporting on technology adoption, value, and risk posture
Produce concise documentation: user guides, FAQs, playbooks, quick-start assets, and short enablement videos where needed
Provide specialist support for enterprise technology and AI platforms including Microsoft 365 Copilot, approved legal-AI tools, and internal AI applications
Analyse user scenarios and optimise prompts/workflows
create guidance that reflects Ogier’s preferred ways of working
Collaborate with other technology teams on secure configurations, access, and responsible use guardrails
escalate issues appropriately
Ensure initiatives follow defined governance, testing and review processes
Support risk assessments and log mitigations
Requirements:
Proven experience in business analysis / product adoption / digital workplace or AI-enabled change in a professional services and/or legal environment
Hands-on delivery of AI or automation initiatives from discovery through rollout, with measurable value outcomes
Demonstrable contributions to governance, risk, and quality processes (e.g. testing, validation, approvals, audit)
Evidential enthusiasm for continuous learning and proactively embracing new technologies, including AI, to enhance personal and team effectiveness
Change management exposure
Strong business analysis toolkit: requirements elicitation, process mapping, user stories, acceptance criteria
Excellent communication skills—able to translate technical concepts into clear business language and practical guidance
Competence with prompt design and evaluation for business scenarios
Structured problem-solving, stakeholder management, and facilitation skills
Data-literate: comfortable with metrics, dashboards, and value tracking
Basic data fundamentals (e.g., data quality, security, lifecycle) and understanding of AI risks (bias, hallucinations, provenance)
Nice to have:
Microsoft certifications (e.g., MS-900, SC-900, PL-900) or AI-900 (Azure AI Fundamentals)
Business analysis or project credentials (e.g., BCS BA, PMI-PBA, PRINCE2 Foundation, Agile)