Example post: Why manual redaction doesn't scale

[Example content] Every legal, finance, or healthcare team eventually hits the same wall: a document review process built around a black marker or a PDF redaction tool doesn't scale past a handful of files a week.

The problem isn't effort — it's that manual redaction asks a human to catch every instance of sensitive information across every page, every time, with zero tolerance for a missed name or account number. That's a search problem, not a diligence problem, and search is what software is good at.

Where the time actually goes

In most manual workflows, the bottleneck isn't marking up the page — it's finding what needs marking in the first place. Reviewers re-read the same document several times looking for different categories of sensitive data, which is slow and inconsistent between reviewers.

What changes with automated detection

An automated first pass doesn't replace review — it changes what review is for. Instead of hunting for sensitive data, a reviewer confirms or adjusts what's already been flagged, which is a faster and more consistent task regardless of document length.

That's the shift this blog will keep coming back to: redaction tooling isn't about removing the human from the loop, it's about giving them a better starting point.