The Right People for the AI Era.
AI transformation requires people who understand both the technology and the legal industry. We find them — because we know both worlds.
Why Us
A Network Built Over Two Decades
Recruiting for AI-capable legal technology roles is fundamentally different from traditional legal recruiting or technology recruiting. The candidates you need sit at the intersection of law, technology, and AI — a small, specialized talent pool that standard recruiters do not reach.
We have spent over 20 years building relationships across this intersection. We have co-founded AI companies, taught at law schools, published research, and worked inside the organizations that employ this talent. Our network is not a database — it is a community we belong to.
That means we can evaluate candidates on dimensions that matter: Can they communicate with attorneys? Do they understand legal workflows? Can they build systems that lawyers will actually use? These are questions we can answer because we have done the work ourselves.
Deep legal AI network
Relationships across law firms, legal departments, legal technology companies, legal service providers, and academic institutions worldwide.
Technical evaluation capability
We assess AI and data science skills directly. Our team includes PhD-level researchers and production-grade engineers who can evaluate technical competence firsthand.
Cultural fit understanding
We know the difference between a legal technology role at an AmLaw 10 firm and a legal AI startup. We match candidates to organizational culture, not just job descriptions.
Roles We Fill
Specialized Positions Across Legal AI
We focus on the roles that drive AI transformation in legal organizations — the positions where finding the right person changes the trajectory.
Machine learning engineers, NLP specialists, and AI application developers with legal domain experience or the aptitude to develop it quickly.
Professionals who bridge the gap between legal practice and technology implementation. They translate attorney needs into technical requirements and vice versa.
Chief Innovation Officers, Directors of Innovation, and similar leadership roles responsible for identifying, evaluating, and driving AI adoption across the organization.
Data scientists and analysts who specialize in legal data — billing, matter, document, and market data — and can extract actionable intelligence from it.
Directors and VPs of Legal Operations who understand how to integrate AI into legal workflows, measure its impact, and drive operational improvement.
Enterprise architects and solutions architects who can design AI-native legal technology infrastructure that scales, integrates, and evolves.
How We Work
A Process Built for Specialized Roles
We do not run a volume recruiting practice. Every search is a focused engagement designed to find the right person for a specific, high-impact role.
Role Scoping
We begin by understanding the role in context — your organization's AI strategy, technology stack, team dynamics, and growth trajectory. This informs every subsequent step.
Network Activation
We tap into our extensive network across legal technology, AI research, and professional services. Many of our strongest placements come from candidates who are not actively looking.
Technical & Cultural Assessment
We evaluate candidates on both technical capability and organizational fit. Our assessments are designed by people who have held these roles and hired for them.
Placement Support
We support the process through offer negotiation and onboarding. Our goal is a placement that succeeds long-term, not just one that fills a requisition.
Track Record
Placements That Drive Transformation
Innovation leadership placement
Placed a Chief Innovation Officer at an AmLaw 100 firm who went on to build a 15-person AI team and launch the firm's first AI-powered client services.
Legal data science recruitment
Recruited a senior data scientist for an AmLaw 50 firm, establishing their first dedicated legal analytics function.
Legal operations leadership
Placed a VP of Legal Operations at a large legal service provider, leading a team of 50 through a major technology transformation.
AI engineering team build-out
Sourced and placed three AI engineers for a legal technology company, forming the core of a team that shipped a production AI product within six months.
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