25 years of client files. Handwritten documents. Scanned agreements from before most current software existed. And 2,500 accounts that still need fee schedule audits.

It is a data architecture problem that has been accumulating since day one.

An ops lead at a wealth management firm described it plainly: “We have 25 years of files, messy data. We need to clean it regardless. So if we can have a tool that helps with that part, both retroactively and going forward, that’s helpful.”

The retroactive piece is where most automation conversations stall. Tools built for current document intake do not handle scanned PDFs from 2001 or agreements that predate consistent naming conventions. LEA processes both. When we run a backfill, every file gets classified, renamed to the firm’s convention, and indexed. Handwritten documents that cannot be fully extracted surface in an inventory list so the team knows exactly where the exceptions are, rather than discovering them mid-audit.

The result is that Egnyte, Salesforce, Sharepoint, Box… or whatever system sits downstream can actually function as intended. The data was always there. It just was not readable.

A document management system is only as useful as the structure underneath it. The backfill is not optional maintenance. It is the prerequisite for everything else.