A million files.

A million files. Hundreds of thousands of folders. Many of them empty.

That is the document infrastructure behind a wealth management firm’s M&A integration process, described by their director of technology in a recent conversation with LEA. Not a startup with a data problem. A firm actively acquiring practices and absorbing client records at scale.

The challenge they described is one LEA sees consistently: document chaos is not just a search problem. It is a prerequisite failure. When files are not named consistently, tagged reliably, or organized in a way any system can navigate, every downstream workflow, AI-assisted or otherwise, starts with manual archaeology instead of actual work.

Their team had already experimented with AI. A CoPilot agent, stood up in 30 seconds. What it could not do was navigate a SharePoint structure that had grown from a legacy file share into something no one fully understood anymore.

The first hours of an associate’s day at most firms still go to exactly this: opening folders, reading files, deciding what they are, and putting them somewhere sensible. LEA automates that layer, classifying and tagging documents at intake so the system knows what it has before anyone needs to find it.

The model question is almost never the hard part. The hard part is the million files that existed before the model arrived.