The Context-Switching Problem in Legal Practice (and How AI Should Solve It)

When people talk about legal AI, they usually focus on speed. Faster research. Faster drafting. Faster admin work.

But I think one of the most overlooked problems in legal practice is context switching.

An attorney can go from a client call, to an internal strategy meeting, to reviewing documents, to responding to an urgent email, all within the span of an hour. By the end of the day, valuable details start to blur together.

Not because the lawyer is careless. Because the workflow is fragmented.

And that fragmentation has consequences.

A missed follow-up. A task that lives in someone’s memory instead of a system. A billing entry reconstructed too late. A useful insight from a meeting that never makes it into the broader matter strategy.

This is one of the reasons I believe legal AI should do more than generate summaries. It should help attorneys carry context forward. From one meeting to the next. From conversation to action item. From discussion to billing entry. From spoken insight to matter strategy.

The real opportunity is not just to help lawyers remember what was said. It is to help them preserve continuity across the life of a matter.

That is where better decisions get made. That is where administrative friction starts to fall away. And that is where attorneys can spend more of their time on actual legal judgment instead of reconstruction.

For me, that is the standard legal AI should be aiming for. Not just faster output. Better continuity.