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.

Our Advantage

Recruiting Backed by 277K+ Professional Profiles

Most legal recruiters work from personal contacts and LinkedIn searches. We start with Kelvin Intelligence, our AI-enriched database of 277K+ legal professionals across 33K+ organizations.

That means we can identify candidates by actual practice activity, court and bar admissions, career trajectory, and organizational history before we ever pick up the phone. The mid-career cohort (6–16 years) is the most active lateral market, with over 20,000 tracked professionals in that window alone.

Structured candidate data

Practice areas derived from court filings and deal activity, not self-reported bios. State bar, federal court, and international admissions, education history, and career moves tracked across sources.

Market-wide visibility

Coverage spans every firm tier, from solo practitioners to global platforms. Your next hire may be at a firm your current recruiter has never heard of.

Continuous updates

KLI tracks lateral moves, new court and bar admissions, and firm changes as they happen. We see candidate movement in the data before it hits the press.

Network Depth

Two Decades at the Intersection of Law and AI

Data is only half the story. The candidates you need sit at the intersection of law, technology, and AI — a 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. We 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?

Technical evaluation capability

Our team includes PhD-level researchers and production-grade engineers who assess AI and data science skills directly. No relying on keyword matching or credential proxies.

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.

Market Coverage

Talent Across Every Firm Tier

The best candidate for your role may not be at a firm you already know. 47 global firms employ 82K attorneys, but 18,000+ smaller firms employ 165K more. Regional boutiques, mid-market firms, and legal technology companies all produce AI-capable talent that traditional recruiters overlook.

Our data covers the full market. Our network reaches into it. That combination means we surface candidates from corners of the market that volume recruiters never touch.

Beyond the usual suspects

Candidates from boutique firms, legal service providers, academic institutions, and legal technology companies. Not just recycled BigLaw laterals.

Cross-industry reach

AI talent increasingly moves between legal, finance, healthcare, and technology. We track and recruit across these boundaries.

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.

AI Engineers

Machine learning engineers, NLP specialists, and AI application developers with legal domain experience or the aptitude to develop it quickly.

Legal Technologists

Professionals who bridge the gap between legal practice and technology implementation. They translate attorney needs into technical requirements and vice versa.

Innovation Officers

Chief Innovation Officers, Directors of Innovation, and similar leadership roles responsible for identifying, evaluating, and driving AI adoption across the organization.

Data Scientists

Data scientists and analysts who specialize in legal data — billing, matter, document, and market data — and can extract actionable intelligence from it.

Legal Operations Leaders

Directors and VPs of Legal Operations who understand how to integrate AI into legal workflows, measure its impact, and drive operational improvement.

Technical Architects

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 network and KLI data to identify candidates 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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