Sam Stamp is the co-founder of Legal Engine, a company building agentic AI for business services in law firms.
Trained as an anthropologist, Sam has always been interested in how people behave inside complex systems, and why technology that looks transformation on paper often fail in practice. That perspective underpins his work in legal services, where culture, incentives and time pressure shape are primary influences on change.
Sam’s career spans law firms and commercial leadership roles outside the legal sector. He has led growth, business development and innovation initiatives inside large law firms, served as Chief Commercial Officer in edtech, run sales teams, and began his career in advertising. This breadth gives him a rare vantage point on how professional services compare to other industries, and where law firms genuinely need to change.
At Legal Engine, Sam leads the development of AI agents that conduct dynamic, structured conversations with lawyers to capture matter experience, client insight and business development intelligence. These agents power high-value use cases such as directory submissions, credentials, RFPs and CRM updates, while quietly building a live, firm-wide knowledge base over time.
Sam speaks to partners, BD and marketing leaders, innovation teams and legal ops audiences on agentic AI, the future of legal go-to-market, and how firms can unlock growth without adding friction, headcount or hollow transformation programmes. His focus is practical: what actually works once the slide deck is gone.
Areas of Expertise:
Testimonials
As someone with a significant interest in the future of BD in legal, I've seen a quite a bit of AI content recently, but this was different. Sam took us on a journey from the fundamentals of AI through to the power and potential of large language models (LLMs), all in a way that was accessible, engaging, and highly relevant to our work. Demystifying complex tech while keeping it grounded in real world application.
Matt Skipper – Head of Business Development Mills & Reeve




