LexisNexis Bets on Practitioner-Consultants to Drive AI Adoption at Large Law Firms

The appointment reflects a broader industry reckoning: legal AI tools have proliferated faster than law firms' willingness — or ability — to deploy them at scale.

LexisNexis has positioned Lexis+ with Protégé as its flagship AI workflow platform for enterprise law firms, but technical sophistication alone has not been enough to accelerate adoption inside large practices where risk tolerance is low and institutional inertia runs deep. Competitors including Thomson Reuters, with its CoCounsel product, and a wave of well-funded legal AI startups such as Harvey and EvenUp have intensified pressure on LexisNexis to demonstrate not just product quality but implementation credibility. Hiring lawyers who have lived the workflows they are now redesigning is one answer to that pressure.

Blachar spent nearly a decade across three distinct legal contexts — litigation at AmLaw 200 firm Saul Ewing, M&A work at a boutique corporate practice, and most recently a General Counsel role at an EB-5 investment firm. That arc, from BigLaw associate to in-house counsel, maps directly onto the decision-makers LexisNexis needs to persuade: practice group leaders, knowledge management directors, and legal operations heads who are skeptical of vendor promises that have not been tested against real dockets and deal rooms. Tony Muljadi, VP and General Manager for LexisNexis Large Law Markets, cited that cross-functional experience explicitly as the rationale for the hire. Blachar's mandate is to design and deploy custom AI workflows for large firm clients, working directly alongside their internal teams.

Industry Implications

The move accelerates a talent pattern taking shape across legal technology: vendors are recruiting former practitioners into hybrid roles that blend product consulting with client success, blurring the line between software company and professional services firm. For enterprise legal buyers, this raises the floor on what they should expect from vendor engagement — not a demo, but a co-built solution. Legal operations teams evaluating AI platforms in 2026 should weigh implementation depth alongside feature sets; a tool no one deploys is a tool no one uses. Rivals that rely primarily on sales engineers without substantive practice experience may find themselves at a disadvantage as large firms grow more sophisticated in their procurement criteria.

DreamLegal Perspective

Legal technology vendors competing for large law mandates should treat this hire as a strategic signal, not a personnel footnote. The consultative, embedded-practitioner model that LexisNexis is formalizing here — pairing AI infrastructure with lawyers who have carried a caseload — is quickly becoming a differentiator that procurement committees will weigh explicitly. Legal ops leaders evaluating workflow platforms in the next budget cycle should interrogate vendors on the depth of their implementation teams: who will actually sit alongside firm attorneys to build the workflow, and what is their practice background? The answer is becoming as important as the product itself.