As Harvey becomes part of how we work at Eversheds Sutherland, we catch up with alumna Georgia Rogers, now Customer Success Manager at Harvey AI. She reflects on her move into legal technology, the lessons she took from the firm and what responsible and effective AI adoption looks like in practice.
What interested you about the legal sector, and what still shapes how you work today?
I was drawn to law by a sense of justice and I liked the idea of being able to make a difference. Working in law firms gave me an appreciation for detail, structure and process and this is something that still shapes how I work today.
Looking back on your time at the firm, what stands out most?
One of the things that has stayed with me most is learning how to communicate clearly and directly. Early in your career, you learn so much from the people around you, including how to structure a message, get to the point and make sure the other party knows what matters. My communication style today owes a lot to that experience.
What prompted the move into legal software and customer success?
I became increasingly interested in how legal work gets done, and particularly how individuals can use technology to scale their impact. Moving into legal software allowed me to stay close to the sector while exploring that opportunity. What I enjoy most is working with different firms, understanding their challenges and helping them solve problems. There’s a lot of satisfaction in helping a team rethink how they work, put a new approach into practice, support a change management journey and see the transformation.
How would you describe Harvey and your role?
Harvey is an AI platform built for legal and professional services work. My role is to help our largest law firms make it useful in practice. That means understanding their business priorities, identifying where Harvey can support their teams, and helping people build the skills and confidence to use it. Day to day, I might be planning a rollout, running a workshop with a practice group, reviewing adoption and impact with a firm’s leadership, or bringing customer feedback back to our product team. It’s a mix of relationship building, problem solving and change management - and every day is different!
What’s the biggest misconception about AI in legal work?
That it’s an all or nothing proposition: either AI can do the whole job, or it isn’t useful. There’s an enormous amount of value between those two extremes. It can help lawyers get to a first draft, work through information or explore an issue more quickly. The lawyer still brings the judgement, context and responsibility for the final work.
Where do you see the quickest wins?
Often in everyday tasks: summarising a long document, comparing provisions, creating a first draft or pulling key information out of a set of documents. I encourage people to start with a task they know well, so they can easily assess the quality of the output. Making something you do regularly easier is a great way to build confidence and create quick wins.
What does responsible adoption look like in practice?
Responsible adoption often means giving people clear guidance in which to operate - which tools are approved, what information they can use, when AI is appropriate and how outputs should be checked - as well as having the time and space for training, enablement and questions.