Director, AI Engagements - Harborglobal

Harbor Labs is a new team within Harbor focused on solving hard AI implementation problems in the legal market. We have strong hypotheses about what works, butwe'rebuilding this like a startup: learning as we go, adjusting direction based on what the market tells us, and staying flexible about how weoperate.

We'relooking for a Director of AI Engagements to lead our most important client relationships andsetthe strategy for how we deploy AI in production. This is a senior role for someone who can sit across the table from a GC or COO, shape the direction of an engagement, and then roll up their sleeves and build alongside the team to deliver it.

This is a leadership role, but not a hands-off one.You'llown the strategy for your engagements and stay close enough to the work to configure systems, pressure-test outputs, and make the calls thatdeterminewhether AIactually sticksin aclient'sday-to-day.

What Makes This Different:

Our edge is combining deep legal domain experience with product sensibility and strong engineering. We understand how legal teamsactually work, what change management looks like in risk-averse environments, and how to build software that people will use. We also know the common pitfalls of enterprise software in traditionally low-innovation areas like law, andwe'redeterminedto avoid them.

We focus on hard, novel problems where standard platforms fall short. The work isambiguous,the solutionsaren'tobvious, andthat'sthe point. As a senior leader here, yousetthe bar for how we approach those problems and how we show up with clients.

What You'll Do:

• Own the strategy for your engagements.Shape what success looks like with the client's leadership, define the roadmap, and makethe prioritizationcalls.You'reaccountable for the outcome and the relationship, not just the deliverable.
• Lead at the executive level.Be the trusted partner to GCs, COOs, and heads of legal operations. Translate where AI is heading into a concrete plan they can getbehind, andbring skeptics along.
• Stay hands-on with the work.Configure systems, structure knowledge sources, write and refine prompts, design test cases, andvalidateoutputs against real data. You lead from inside the work, not above it.
• Setdirectionfor delivery.Define how an engagement is scoped, staffed, and sequenced. Work shoulder-to-shoulder with engineers and delivery leads toturnan ambiguous business problem into a production system.
• Design the operating model, not just the workflow.Figure out how AI changes the way a legal teamoperates: the processes, the roles, thegovernance.Redesign how the work gets done, then make the change actually happen.