Five thousand client agreements.

Five thousand client agreements. At manual pace, backfilling that into a new system takes a year, most of it spent verifying fee arrangements nobody has looked at since signing.

That cost rarely appears on an integration checklist because it does not look like a cost. It looks like normal onboarding friction. But while agreements sit unprocessed, the acquiring firm bills against incomplete data. A fee schedule negotiated years ago might say one thing on paper while the billing system charges another, and nobody catches the drift until a client, or an examiner, asks why the numbers do not match.

A wealth management firm we work with completed this same backfill in an afternoon. The agreements existed. The data inside them existed. What was missing was the ability to extract fee tiers, discretionary authority language, and householding terms at scale, without putting a team on five thousand contracts for months.

LEA processes the stack, pulls those specific terms, and flags where they diverge from what the firm’s billing and CRM systems already show. The ops team is not reading agreements. It is reviewing a short list of mismatches, this household’s fee schedule against this billing record, this account’s authority language against a structure that changed years ago and was never updated.

A year of unverified billing exposure becomes an afternoon of flagged exceptions, and the integration timeline compresses around it.