Full Stack Product Engineer

Practice Group / Department: Legal Innovation, Design & Technology - London Job Description

Norton Rose Fulbright is a global law firm with more than 3,000 lawyers advising clients across locations in the United States, Europe, Canada, Latin America, Asia, Australia, Africa and the Middle East. We provide a full scope of legal services to the world’s preeminent corporations and financial institutions.

Our vision is to be a world class business, profitable, ambitious, cooperative and considerate, supporting our clients and people through our global business principles of Quality, Unity and Integrity.

With over 7,000 employees worldwide, our culture is the thread that connects us. Our strategy and culture are closed connected – defined by shared ambition, global collaboration and a one-team mindset. We believe pioneering work happens when people are empowered to think beyond boundaries, explore new opportunities and grow through diverse experiences. Alongside the right skills and experience, we are looking for people who are innovative, commercially minded, and motivated by the impact of the work they do – ready to share in our ambition and help shape what comes next.

Because while individuals can do well, together we achieve something extraordinary.

Role Purpose

We are building a new R&D capability focused on developing data-driven and AI-enabled products for legal services and the wider business of law.

The Full-Stack Product Engineer will own the user-facing applications through which lawyers and business teams use R&D products. This is a frontend-led full-stack role: you will turn complex, document- and data-heavy workflows into clear, useful and well-crafted experiences, while building the integrations and application services needed to take products from concept to controlled use.

You will take practical responsibility for the application’s deployment, operation, monitoring and continuous improvement, working within agreed enterprise technology, security and release patterns.

The role works closely with a broader team of AI engineers, data engineers and data scientists to turn R&D capabilities into coherent product journeys.

You will join a small, hands-on multidisciplinary team working collaboratively across discovery, prototyping, engineering, productionisation and continuous improvement.

Key Responsibilities

Own the frontend architecture and user experience for R&D products, from early prototype through controlled production release.

Build accessible, responsive web applications and internal tools using modern TypeScript, React and Next.js patterns.

Turn workflow discovery, user feedback and product requirements into simple user journeys, interfaces and technical delivery plans.

Create intuitive experiences for AI-assisted work, including search, document review, structured outputs, evidence and citation views, workflow tasks and human-review steps.

Apply strong visual and interaction-design judgement to hierarchy, information density, loading, empty and error states, and progressive disclosure.

Build and maintain reusable frontend components in line with the R&D design system, partnering with product design to improve consistency and delivery speed.

Develop application-specific APIs and integrations where needed, while using shared AI, data and platform services for common capabilities.

Integrate approved data sources, search and retrieval services, Microsoft 365 sources, document repositories and business systems into usable workflows.

Deploy and operate responsive React and Next.js applications in Azure, using approved hosting, environment configuration, release, monitoring, health-check and support patterns.

Implement secure application authentication, authorisation and data-access controls using Microsoft Entra ID and approved Azure services.

Configure and use Azure services needed for application delivery, including application hosting, secrets and configuration, monitoring and telemetry.

Write maintainable code with unit, integration and end-to-end test coverage; use Docker, Git, code review and CI/CD throughout delivery.

Build and maintain application-level release processes, supporting reliable deployment, rollback, troubleshooting and continuous improvement.

Initial Focus

A reusable frontend component library and design system that improves consistency and speed across the R&D portfolio.

User-facing R&D products for client intelligence, document and matter workflows, search and AI-assisted decision support.

High-quality interfaces for AI outputs that make provenance, uncertainty, controls and next actions clear to users.

A repeatable Azure-based application deployment and operational model for R&D products.

What Success Looks Like AI-enabled experiences are intuitive, clear and dependable, helping users understand outputs, relevant context, evidence, controls