Why Legal Teams Don't Switch Tools (and What That Means for AI)

There is a category of explanation for slow AI adoption in legal teams that misses the point: lawyers are risk-averse, law firms are conservative, change takes time. These things are true, but they're not the root cause. The root cause is simpler.

Legal work is high-stakes and collaborative. Every new tool that enters a team creates a new coordination surface — a new place where context can fragment, where someone might not get the memo, where a version might not be current. The value of adding a new capability has to outweigh the cost of adding a new surface. Often it doesn't.

The switching cost problem

Switching costs in legal aren't just about learning curves. They're about the risk of losing context mid-matter, the overhead of migrating to a new workflow mid-deal, and the professional risk of something going wrong during a transition. A partner at a firm doesn't want to explain to a client that a deadline was missed because the team was trialing a new tool.

Meeting lawyers inside the tools they already use isn't a convenience. It's a strategy for making adoption frictionless enough to actually happen.