At the 2026 CLOC Global Institute, the conversation around AI felt different. Legal teams are moving past experimentation and asking harder questions about execution, governance, and measurable business value.

That showed up in two places. The sessions themselves were more practical and more specific than in past years. And conversations with legal ops professionals on the floor made clear that adoption is still slower, messier, and more constrained than the market narrative often suggests.

What Casepoint Heard at the 2026 CLOC Global Institute

What the Programming Signaled

The agenda reflected a clear shift toward practical execution. It leaned heavily on short-form sessions, peer conversations around what's working, and focused discussions on specific use cases. The emphasis was less on broad AI theory and more on how teams are applying these tools inside real legal workflows.

The sessions pointed to four clear priorities.

  • Legal ops is speaking more directly to finance: More sessions framed legal operations in terms of budget discipline, business impact, and cash efficiency. Legal leaders need to show how legal work affects risk, operating performance, and, in some areas, revenue timing rather than treating spend as a fixed back-office cost.

  • Knowledge strategy is moving higher on the agenda: Teams are looking beyond static repositories and asking how structured legal data can be made more useful. That includes finding prior work faster, surfacing internal expertise, and reducing the repetitive effort that comes from fragmented systems.

  • AI is getting more disciplined: Teams are thinking more carefully about which tools fit which tasks, where the source of truth sits, what kind of output they need, and how to preserve accuracy and traceability.

  • Buyers are selecting partners, not just software: When it comes to procurement, the selection lens has shifted. Legal ops leaders are evaluating vendors on total cost of ownership, change-management support, and cultural fit. Presenters were clear: "AI glitter," beta demos, and roadmap vaporware are immediate red flags that kill deals. Buyers want transparent roadmaps and vendors who can support execution over time.

What Casepoint Heard on the Floor

Our conversations with legal ops leaders were more grounded and, in some cases, more cautious. The themes from the sessions held up, but real adoption remains uneven and operational barriers persist.

  1. Buyers are tired of generic AI claims

    Attendees were tired of vendors making sweeping promises without showing practical, secure, workflow-specific value. Legal ops professionals are increasingly skeptical of generic generative AI claims. They want to see exactly how a tool solves a bottleneck without creating new risk or more work for the team.

  2. Large-scale adoption is slower and more complex than the market narrative suggests

    Formal AI oversight is rising, but adoption remains uneven. Many legal departments now have a dedicated resource or committee managing AI, but that doesn’t mean they're deploying these tools broadly across production workflows.

    That slower pace reflects the risks and operational complexity of deploying AI in large organizations. Accuracy, hallucinations, and trust remain major concerns. Before rollout, organizations are building governance checklists around approved inputs, role-based and automated access controls, subprocessor review for data privacy obligations, and the requirement that a human approve final outputs. Those guardrails take time, alignment, and sustained internal effort.

  3. The AI skills gap is making change management a central part of deployment

    Most teams are not ready to operationalize AI at scale. Leaders are recognizing the need for AI readiness assessments to gauge fluency, risk, and organizational disruption. Some are also building internal training programs to improve AI literacy across the legal department.

    Change management is now as important as the technology itself. Legal ops professionals are looking for vendors who can do more than demonstrate features. They want partners who understand adoption, training, workflow change, and the practical demands of implementation.

CLOC 2026 showed that legal teams are serious about AI, but careful about how it’s deployed. The next phase belongs to solutions that can support governed execution, measurable impact, and practical adoption beyond demos.

What Casepoint Heard at the 2026 CLOC Global Institute
Amit Dungarani

Author

Amit Dungarani

VP of Product Marketing and Revenue Enablement

Amit Dungarani serves as Vice President of Product Marketing and Revenue Enablement at Casepoint, where he leads strategic initiatives to align the company's comprehensive portfolio of enterprise solutions with the complex needs of large corporations and government agencies. With over 23 years of leadership experience spanning enterprise…

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