AI Therapy Notes: Pros, Cons & What to Watch For (2026)
Written by Kshitij Domadia, Founder, MyKaya
Published August 10, 2026
Using AI to generate therapy notes is not inherently good or bad. Whether it helps or hurts depends on how it is implemented, what tool you use, and how seriously you treat the review step. This article does not sell you on AI documentation. It gives you the actual trade-offs — and what to look for if you decide to try it.
The real advantages
Time savings that actually show up. The most consistent finding from therapists using AI scribes is that post-session documentation time drops significantly — from the 10–20 minutes most therapists spend per session to a 3–5 minute review of a draft. For a 20-session week, that is potentially 3–4 hours reclaimed. The savings are real if the tool fits your workflow.
Notes that do not depend on your memory. Writing notes 12 hours after a session, or at 10 p.m. on a Friday, means reconstructing details from memory. AI scribes generate notes from the actual session audio, which means the specific language a client used, the exact intervention you applied, and the sequence of what happened are captured before you have forgotten them. Clinical notes are more accurate when they are not memory-based.
Reduced cognitive load during the session. Many therapists describe a shift in presence when they are not simultaneously tracking what they need to capture for notes. When the documentation is handled separately, the full clinical attention can stay on the client.
Screener and risk tracking in one place. Purpose-built clinical tools — unlike generic meeting bots — can track standardized assessments (PHQ-9, GAD-7, C-SSRS) alongside session notes, giving you a longitudinal view of a client's progress across sessions without maintaining a separate spreadsheet.
The real drawbacks
AI generates drafts, not finished notes — and the quality varies. AI-generated notes can contain factual errors, miss important clinical nuance, or present content in a way that sounds plausible but does not reflect what actually happened. If you sign an AI-generated note without reading it carefully, you are legally and ethically responsible for whatever it says. The review step is not optional.
Hallucinations are a real risk. Large language models can confidently produce details that were not in the session. A note that invents a client's stated mood score, omits a safety disclosure, or conflates details across clients is worse than a note written from scratch. Rigorous review catches these. Rushing through the review does not.
Clients may have concerns about recording. Not all clients will be comfortable knowing their session is being processed by an AI tool. Some will not mind at all. Some will have significant privacy concerns, particularly clients with trauma histories, legal exposure, or strong distrust of technology. Informed consent and the option to opt out are non-negotiable — and the conversation takes time and care to have well.
Compliance is your responsibility, not the vendor's. The AI tool signs a Business Associate Agreement. But you are the covered entity. If the tool stores data insecurely, if you failed to get written consent, or if you never verified the vendor's compliance certifications — that is on your practice, not theirs.
Learning curve is real. Adapting your workflow to include AI documentation takes adjustment. The first few weeks typically involve more review time, not less, as you calibrate the tool to your note style and learn to catch the specific errors it tends to make.
What to watch for when evaluating a tool
| Question | Why it matters |
|---|---|
| Does it produce clinical note formats (SOAP, DAP, BIRP)? | Generic summarizers are not built for clinical documentation |
| Does it record visibly or silently? | Visible bots affect the session dynamic |
| Does the vendor sign a BAA? | Required for HIPAA (US) |
| Is session audio used to train AI models? | Vendor should clarify what part of your data is used to train AI |
| What is the review workflow? | You need a clean way to read, edit, and approve before the note is finalized |
| How does it handle clinical language (screener scores, risk flags)? | A note that smooths over a C-SSRS disclosure is worse than no note at all |
The honest summary
AI therapy notes save real time and reduce cognitive overhead. They are also genuinely more accurate than notes written hours after a session. The risks — hallucinations, review shortcuts, consent management, compliance — are manageable but require active attention. This is not a tool you set up and stop thinking about. It is a tool that works well when used carefully.
If you are curious, a 14-day trial is the right way to find out whether it fits your practice. MyKaya is free to try.