Legal Engineer, Innovation and AI

Our Practice Solutions team leads the Firm’s innovation initiatives, supporting our lawyers in client delivery excellence. The team has deep expertise in working with established and emerging technologies, data analytics and data science, knowledge solutions and process re-engineering. The Practice Solutions team works with our lawyers to identify innovative solutions to support our clients. Through fostering a Firmwide culture of innovation, we encourage our lawyers to think creatively about how to deliver the best value to our clients and we ensure that White & Case remains at the forefront of advancements in the legal industry.

Legal Engineer, Innovation & AILondon, UKAre you ready to play a central role in reshaping how our lawyers use AI to deliver complex cross-border legal work, as part of our award-winning Innovation & AI function and Applied AI Lab?

Legal Engineers sit at the heart of our Innovation & AI agenda. They design and build AI-powered workflows that let our lawyers work faster, more consistently and at higher quality, translating complex legal processes into structured, AI-executable systems. This is a multidisciplinary role that pulls from legal practice, AI engineering and product thinking, and is central to how we embed AI into everyday legal work.

The role forms part of the Firm’s Applied AI Lab, a lean, high-performance unit built to experiment, prototype and ship AI-powered solutions that change how elite legal work gets done. Legal Engineers work closely with senior practitioners, Innovation & AI leadership and cross-functional teams to turn tacit legal knowledge into robust, data-driven workflows and tools.

We are keen to meet people who are excited by generative AI and large language models, who enjoy structuring messy processes into repeatable systems, and who are comfortable working shoulder-to-shoulder with lawyers, technologists and external partners in a fast-paced, experimental environment.

Key Responsibilities AI Workflow Design and Execution Design and build AI-powered workflows that help our lawyers work faster, more consistently and at higher quality, decomposing complex legal processes into discrete, measurable tasks that AI can execute reliably.

Re-engineer existing manual legal workflows for AI-first execution, determining where AI adds the most value, where human judgment remains essential and how to design effective handoffs between them.

Translate the tacit knowledge of senior practitioners, including playbooks, negotiation positions, house style and drafting conventions, into structured artefacts such as prompts, schemas, decision trees and evaluation rubrics that production AI systems can execute against.

Standards, Quality and Evaluation Own prompt engineering standards, schema specifications and quality assurance protocols, building the infrastructure that ensures AI outputs are consistently excellent and aligned with what our lawyers need.

Curate exemplar matters and precedents into reference packs that drive better AI outputs, and design evaluation frameworks that rigorously measure whether AI tools are performing to the required standard.

Track what is working and what is not, using data to drive iteration, surface insights and make honest recommendations about where to double down and where to pivot.

Lab Strategy and Programme Support Contribute to the strategic direction and roadmap of the Applied AI Lab, helping to identify the highest-value experiments and making the case for what should be built next.

Work across multiple internal teams to identify high-impact use cases and drive adoption of AI-powered solutions, acting as a bridge between legal practice, technology and product disciplines.

Roll up your sleeves to support whatever the Lab needs, recognising that this is a small team doing big things and everyone contributes beyond their formal job description.

Stakeholder Engagement and Adoption Work shoulder-to-shoulder with lawyers, technologists and external partners to identify and shape AI use cases, ensuring solutions are grounded in real practice needs and integrated into existing workflows.

Communicate clearly and confidently with diverse…