Head of Legal Engineering

About the role

Norton Rose Fulbright seeks a Head of Legal Engineering to lead the firm's efforts in designing, building, and scaling AI-enabled solutions. This role is based in the US Innovation team and involves collaboration with legal practice groups, IT, and other business services functions.

Responsibilities

• Own the full product lifecycle for legal engineering initiatives: from scoping, workflow decomposition, and prototyping; through production deployment and scaled adoption across the firm (in collaboration with other Innovation teams)
• Design and develop AI-powered legal workflows, solutions, and internal products from concept through deployment, using tools such as LLM APIs, and legal-specific platforms (e.g., Legora, Harvey)
• Develop and maintain evaluation frameworks to measure accuracy, consistency, and defensibility of AI outputs against legal standards and firm expectations
• Identify high-value automation and augmentation opportunities across practice groups and business services
• Collaborate with attorneys, business services, and firm leadership to surface unmet needs and translate them into engineered solutions
• Integrate AI tools into existing legal workflows, ensuring usability and adoption
• Build and test prototypes rapidly, iterating toward production-ready solutions

Qualifications

• Bachelor's degree; JD preferred, or equivalent professional experience
• Minimum seven years of experience in product-focused roles, legal innovation, professional services consulting, or related fields, with a strong understanding of legal service delivery and how legal work is performed in practice
• Demonstrated technical or product proficiency: building or shipping products or tools in legal or professional services production environments, software development, workflow automation, or legal technology implementation
• Demonstrated experience building and deploying AI-enabled solutions into production environments, preferably using large language models (e.g., OpenAI, Anthropic)
• Experience working with APIs, scripting, or low-code/no-code platforms (Python, JavaScript, or similar preferred), RAG architectures, or multi-step AI workflows
• Comfort operating in ambiguity: this function is still being defined, and you will help define and mature it
• Excellent communication skills and ability to translate business or legal requirements into technical solutions and workflows; able to present to senior partners and work alongside engineers in the same day
• Demonstrated ability to manage multiple projects and deliver results in a fast-paced environment
• Genuine broader market curiosity about AI and its implications for the future of legal practice – beyond simply familiarity with the tools
• Understanding of data privacy, security, and responsible AI considerations in a professional services context
• Experience developing reusable frameworks, templates, or scalable solution patterns