Legal departments across the industry are pouring resources into artificial intelligence, but a growing chorus of legal operations leaders warns that many organizations are asking the wrong question. Rather than fixating on which tools to adopt, the teams best positioned for the future are those with a clear strategic identity and a firm grasp on the value they intend to deliver, according to a recent discussion on the Legal Leaders Exchange podcast.
The gap between adoption and readiness
David Cambria, Vice President of Legal Operations at Epiq Advisory, and Eve Vlemincx, Course Facilitator and Coach at Stanford University Graduate School of Business, drew a sharp distinction between AI adoption and AI readiness. Many legal organizations treat implementation as a technology procurement exercise - finding the right vendor, the right platform, the right use case. Vlemincx said readiness depends on far more. It requires strategic clarity, leadership alignment, trust, effective change management, and a culture that can adapt to new ways of working.
Cambria echoed that view, calling AI a business design decision rather than a procurement decision. "AI tends to amplify whatever already exists," the conversation noted. Strong processes get stronger. Inefficient ones become faster versions of inefficiency. That reality makes fundamentals - not software - the starting point for any serious AI strategy.
Efficiency is not transformation
AI's ability to accelerate document review, legal research, and contract analysis is well documented. But completing a memo in two hours instead of ten improves productivity without necessarily changing how value is delivered. True transformation asks different questions: How should work be performed? How should services be delivered? How do legal teams contribute to broader business objectives?
Cambria challenged the industry's hunt for a "perfect" AI use case. Legal departments that simply use AI to execute existing processes faster risk missing the opportunity to redesign those processes entirely. The more useful question, he suggested, is not "How can we do this faster?" but "Should we be doing this differently?" For professionals building skills in this area, the AI Learning Path for Paralegals addresses practical applications like document review and contract analysis that sit at the center of this shift.
The changing value of legal expertise
As routine tasks become automated, the basis on which law firms compete is shifting. Distinctions between firms may depend less on production capacity and more on judgment, insight, and strategic guidance. When asked whether reducing associate hours through AI makes a firm more valuable, Cambria offered a nuanced answer. The real value comes from what firms do with the time and capacity AI creates.
"Firms can differentiate themselves by providing stronger risk analysis, broader business insight, deeper industry expertise, and more proactive guidance," he said. For corporate legal departments, that means evaluating outside counsel through a broader lens than rates, staffing models, or AI adoption alone. Strategic thinking, business understanding, and partnership carry weight equal to efficiency metrics.
A practical starting point for legal departments
Cambria offered a concrete framework: before choosing technologies or engaging providers, legal departments should first understand the nature of the work they manage. Different categories of work demand different solutions and different expectations of outside counsel. When departments know where work belongs, they can build stronger relationships with law firms, alternative service providers, and technology vendors. AI can accelerate that journey, but it cannot define it.
For legal professionals looking to apply these concepts, AI for Legal resources cover the document review, research, and compliance automation tools that underpin the operational changes Cambria and Vlemincx described.
Why this matters for legal professionals
The organizations that thrive will not necessarily be those with the most AI tools. They will be the ones that use AI to rethink service delivery from the ground up. For individual legal professionals, that means developing the judgment, business acumen, and strategic thinking that machines cannot replicate - because as routine production work becomes automated, human insight becomes the product.
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