12 articles in this category.
Scribe reviews measure a session-note product against session-note criteria: transcription accuracy, speaker separation, note speed. None of that predicts how a tool handles a twenty-page assessment, because a report isn't a record of anything anyone said.
AI can produce the prose of a psychological report from material you supply. It cannot decide what the findings mean, and the distinction isn't a technicality — it's what determines whether the output saves you time or quietly costs you more.
Nobody in this category shows you the raw output — you see the finished example. Here is what actually arrives before a clinician touches it: what's usually right, what's usually thin, and the two things you should expect to rewrite every time.
AI for psychological report writing drafts prose from material you supply and review — it does not decide what findings mean. Here is what the category actually covers, the four things that separate one tool from another, and where I'd tell you it doesn't belong.
The most common question I get. A general-purpose assistant will produce something that reads like a report — the problems are what it does with your client information, what it invents when material is missing, and whether you can verify any of it. Here is what I would check before trying it.
Eight warning signs clinicians told me they learned to recognise, several of them expensively. Most are things a vendor says rather than things a product does — which means you can catch them on the first call, before you've committed anything.
Vendors quote time savings as a single number. The only figure that matters is the change against your own baseline, measured on the same kind of work. Here is a two-week method for getting that number — what to time, what to ignore, and the three things that will make the result lie to you.
You can run a genuinely informative trial of a report-drafting tool without putting a single real client file through it — using a synthetic case you build once, a fixed set of measurements, and a clear stopping rule. Here is the protocol I'd use, including on us.
Choosing documentation AI comes down to six things: who stays the author, where the data goes, whether it matches your structure, what it costs at your volume, how you get out, and what the vendor won't claim. Here are the criteria without any product names — including the ones where we'd lose.
AI drafting fits into one specific spot in the assessment workflow: after you've tested, scored, and interpreted, and before you finalize. It assembles a first draft in your structure so your time goes to reviewing and refining instead of retyping. The clinical judgment, and the signature, stay entirely yours. Here is where it sits, step by step.
An AI scribe for therapists transcribes your session so it can help draft your clinical notes — in your own voice, not a generic template. It never replaces your judgment, and nothing from your session is stored that you haven't reviewed. You review every word, and you sign off. Privacy is the starting posture.
From 15,791 hours saved to burnout dropping from 51.9% to 38.8%, here's what the latest research says about AI scribes in therapy.