This individual-contributor role sits within an AI & legal innovation team, designing, building and optimising AI-powered workflows for a legal practice group.

Working closely with the rest of the innovation team, this person focuses on prompt engineering, workflow development, quality assurance and continuous improvement of AI outputs, ensuring accuracy, consistency and alignment with attorney expectations.

Working with innovation attorneys, technology colleagues, knowledge teams and practice-group members, the role turns practice requirements into effective AI workflows and contributes to a shared knowledge culture across the department.

• Strong expertise in AI systems and prompt engineering, able to optimise LLM outputs for accuracy and consistency.
• Solid understanding of transactional practice (M&A, finance, capital markets) and how to translate that into AI workflow specs.
• Strong knowledge-engineering skills — prompt libraries, workflow templates, repositories, QA frameworks.
• Able to apply governance frameworks for disciplined build/test/deploy of AI workflows.
• Comfortable working independently within a collaborative team.
• Strong communication skills across attorneys, technologists and administrative staff.
• Able to juggle multiple concurrent projects and shifting priorities.
• Technical familiarity with retrieval-augmented generation, context-window management and fine-tuning concepts.
• Proficient with core enterprise applications (Word, PowerPoint, Excel, Visio).
• Minimum three years in legal technology, knowledge management or legal practice, with AI/prompt-engineering/workflow experience.
• Bachelor’s degree (Law, Computer Science, Information Systems or related).