"Hi, I'm Kate and I'm a Legal Engineer here in our Legal Engineering team in London," introduces Kate, who brings a valuable perspective from her previous career.
Before joining Robin AI, Kate spent three years as a lawyer in private practice. During this time, she experienced firsthand the inefficiencies that many legal professionals encounter: "I became quite frustrated by the inefficiencies in the legal profession."
What sets Kate apart is that she didn't just accept these inefficiencies, instead, she saw them as problems to be solved. "I could really see how legal tech could help me as a junior lawyer in my work, and help improve the services that we offered clients."
This vision of a more efficient legal industry motivated her career change: "I wanted to move into an industry that allowed me to help improve the inefficiencies in the legal profession."
Kate now works in what she describes as "an emerging industry," where the role of a legal engineer continues to evolve and develop.
"No two days are the same," she explains, highlighting the dynamic nature of her position. "Every day we combine our knowledge of the law with our knowledge of tech to offer legal tech solutions for our customers."
This interdisciplinary approach, bridging legal expertise with technological innovation, is what makes legal engineering such an exciting field for professionals like Kate who want to transform how legal services are delivered.
What exactly does a legal engineer do? Kate offers insight into her typical responsibilities:
"Today I've been working on prompting a new model, which is where you give the model a task and write a series of clear instructions to allow it to perform that task."
Her work doesn't stop at creating these prompts. She continues: "I've then been evaluating the model's outputs, so thinking: are these answers correct from a legal perspective? And then I've been thinking of how we can further improve the instructions that we send to the LLM to help elicit better responses."
This iterative process of development, testing, and refinement is central to improving AI's ability to handle complex legal tasks.
Kate emphasizes a critical aspect of developing effective legal AI tools: "It's really important to train models on legal data because legal data is very structured and specific."
This focus on high-quality, domain-specific training data is "a really big part of what we in Legal Engineering do at Robin," she explains. By ensuring that AI models understand the unique patterns and requirements of legal documents, Kate and her colleagues help create tools that can meaningfully improve the inefficiencies she observed in traditional practice.
Kate's journey represents the evolving landscape of the legal profession, where technological innovation is creating new career paths for lawyers who want to solve systemic problems. By applying her legal knowledge in a technical context, she's helping build solutions that benefit both legal practitioners and their clients.
Inspired by Kate’s journey? We're always looking for talented individuals to join our growing team at Robin AI. Whether you're a legal professional interested in technology or have technical skills you'd like to apply to legal innovation, we might have the perfect opportunity for you.
Check out our careers page to explore current openings.