Why Legal AI Initiatives Fail And What To Do About It
Operating model mistakes are usually more damaging than model quality mistakes.
Articles
Practical writing on Legal AI, workflow redesign, and operating model change.
These articles focus on implementation reality: how work enters the system, how decisions get made, where governance fits, and what it takes to move from pilots to scale.
The Legal AI Readiness Gap
Readiness depends on process clarity, data quality, roles, and change discipline.
AI Intake Triage: Get It Right Before You Automate
Before automation works, intake needs structure, routing, and decision logic.
Beyond Pilot Projects: Building for Scale
Scaling AI in legal requires operating decisions, not just more experimentation.
Topics Covered
Legal AI adoption, intake design, governance, knowledge capture, measurement, and service delivery.
Looking for frameworks?
Explore the operating model and future frameworks built for legal teams adopting AI in the real world.
Explore FrameworksConnect
LinkedIn is the primary contact channel for advisory conversations and follow-up.