Software is very good at identifying patterns. That does not make it an editor.
A grammar checker can flag an unfamiliar word, suggest a cleaner sentence, or tell you that a phrase is statistically unusual. What it cannot reliably do is understand why a particular word belongs in a particular profession, what your audience already knows, or when a technically “cleaner” edit actually makes the writing worse.
I was reminded of that when Google Docs objected to the word lede. In journalism and professional writing, “lede” is not a typo. It is a useful term with a specific meaning. The software saw an anomaly. An editor would have seen context.
Pattern matching is not judgment
This distinction matters even more now that AI tools are being used for editing as well as drafting. They can be extremely useful for catching repetition, inconsistent terminology, awkward phrasing, missing context, or structural problems. But the more specialized the subject matter becomes, the more dangerous it is to confuse fluent suggestions with informed judgment.
Technical writing, product marketing, developer content, and documentation all depend on context. Sometimes the “weird” term is the correct term. Sometimes a shorter sentence is less precise. Sometimes a phrase that sounds repetitive is deliberately reinforcing a distinction the reader needs to remember.
Good editing asks a different set of questions
An editor has to ask: Who is this for? What does this audience already understand? Which terms are standardized in this field? What is the writer trying to make unmistakable? What information can be removed without changing the meaning?
Those are not just grammar questions. They are product, audience, and domain questions.
Use the tools. Let them catch things. Let them challenge your assumptions. But when the tool and the context disagree, context still gets the final vote.