About the Role
Norton Rose Fulbright is seeking a highly motivated and experienced Head of Legal Engineering to play a central role in designing, building, and scaling AI-enabled solutions across the firm. This role sits within the US Innovation team and collaborates closely with legal practice groups, IT, and other business services functions. This is a unique opportunity to help build a legal engineering function inside one of the world's leading law firms, with organizational support, a growing team, and genuine executive sponsorship.
Responsibilities
- Directly build solutions and lead a growing team of legal engineers and automation specialists.
- Build trusted relationships with attorneys and business service colleagues to drive alignment and support for Innovation program initiatives.
- Help shape the firm’s broader approach to applied AI, contributing to standards, governance practices, and solution architecture.
- Own the full product lifecycle for legal engineering initiatives: from scoping, workflow decomposition, and prototyping; through production deployment and scaled adoption.
- 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.
- 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.
- Manage and mentor a team of legal engineers and automation specialists, with accountability for hiring and team development.
- Establish engineering standards, workflows, and quality practices for the team.
- Partner with the Director of Innovation and senior leadership to shape the legal engineering roadmap and org design.
- Work directly with Innovation leadership, attorneys, practice leaders, and business stakeholders to co-design solutions.
- Partner with the AI Governance & Program Manager, IT, and Info security teams to ensure solutions meet firm standards and governance requirements.
- Act as a translator between technical capabilities and legal use cases.
Requirements
- 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.
- 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.
- Understanding of data privacy, security, and responsible AI considerations in a professional services context.
- Experience developing reusable frameworks, templates, or scalable solution patterns.
Skills
- AI-enabled solutions
- AI technologies
- LLM APIs
- Legal-specific platforms (e.g., Legora, Harvey)
- APIs
- Scripting
- Low-code/no-code platforms
- Python
- JavaScript
- RAG architectures
- Multi-step AI workflows
- Data privacy
- Security
- Responsible AI
Location
- US
Work Type
- Full-time
Experience Level
- Minimum seven years of experience
Education Level
- Bachelor's degree
- JD preferred
Benefits
- Access to three medical plans, dental, vision, life, and disability insurance.
- Pre-tax benefits such as health savings and flexible spending accounts.
- 401(k) savings plan and profit-sharing plans if eligible.
- Fertility benefits designed to support fertility and family-forming journeys.
- Competitive paid time off plan, providing a minimum of 20 days off based on role and tenure.
- Generous paid parental leave benefit allowing parents to take a minimum of 14 weeks of paid leave.
- 11 Firm holidays.
About the Company
- Norton Rose Fulbright provides a full scope of legal services to the world’s preeminent corporations and financial institutions.
- The global law firm has more than 3,000 lawyers advising clients across locations in the United States, Europe, Canada, Latin America, Asia, Australia, Africa and the Middle East.
- With its global business principles of quality, unity and integrity, Norton Rose Fulbright is recognized for its client service in key industries, including financial institutions; energy, infrastructure and resources; technology; transport; life sciences and healthcare; and consumer markets.
Equal Opportunity
- Norton Rose Fulbright US LLP is committed to providing reasonable accommodation as an Equal Opportunity Employer to applicants with disabilities.
- Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.
- Norton Rose Fulbright US LLP will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant.
