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When the Machine Gets It Wrong

2026-07-24 · Workplex · 6 min read · Accuracy, Configuration, Trust

Here is an honest example of the machine getting it wrong. A single 150-page record — one continuous document — comes back split into a dozen pieces, because the system saw new letterheads and assumed new documents. It is a real error, and a firm that has been burned by over-eager software is right to notice it.

The question is not whether it errs — it is what happens next

Every system that reads real-world records will misjudge some of them. Decades-old faxes, inconsistent letterheads, handwriting — no classifier is perfect on the first pass, and any vendor who claims otherwise is selling the demo, not the product. The honest question is what a firm can do about a mistake once it sees one.

An error you correct once should not come back

The wrong answer is a black box that splits the same record wrong every month and shrugs. The right answer is a system a firm can tune: classification granularity set to how this firm wants its records handled, a correction applied once, and that correction remembered — as firm-scoped signal that shapes how your files are read from then on, and is never shared with anyone else.

A mistake you can correct once, and never see again, is not a flaw — it is how the system learns your firm.

Accuracy is a relationship, not a number

A single accuracy percentage on a slide means very little, because it says nothing about the errors that matter to your practice or your power to fix them. What earns a defense firm’s trust is slower and better: every fact grounded in a source you can open, every mistake yours to correct, and a system that grows more yours with each correction — while a licensed attorney stays the final word on all of it. Intake is the foundation, and a foundation you can shape is one you can build on.

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