
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 doesn't replace your clinical judgment, and nothing from your session is retained that you haven't approved. You review every word. You sign off. Privacy is where the whole thing starts, not an afterthought.

I'm Ian — I founded Soma, and I want to be plain about what an AI scribe is and isn't. There's a lot of noise in this space, and clinicians have every right to be skeptical. So let me walk through it the way I'd want it explained to me.

## What is an AI scribe for therapists?

An AI scribe is software that listens during your session, transcribes what's said, and uses that transcription to help you draft a note afterward. That's the whole job.

Think of it like having a careful typist who hands you a first draft — one you then shape into the note you'd have written anyway. The clinician stays in charge of every clinical decision. The software just clears the blank page.

The reason this matters is simple: documentation is the near-universal #1 complaint we hear from the clinicians we work with. Notes pile up and follow people into their evenings. One survey of health-service psychologists found a median of around five hours a week spent on non-billable clinical work — and [more than half of them, 51.6%, called that administrative load a significant source of work-related stress](https://pubmed.ncbi.nlm.nih.gov/31728882/).

A good AI scribe gives some of that time back. That's the outcome we're after — not a flashy demo, just fewer late nights finishing notes. I've written about [how therapists actually cut documentation time](/articles/how-therapists-cut-documentation-time), and about [why purpose-built tools beat pasting into ChatGPT](/articles/2025-10-06_ChatGPT_and_Therapy).

![Hands typing on a laptop beside a document on a wooden desk](/images/article-body/pexels-artempodrez-8518848.jpg)

*A scribe hands you a first draft to shape — it never makes the clinical call.*

## Does an AI scribe write my notes for me?

No — it drafts, you decide. This is the distinction I care most about, so I'll be blunt about it.

The software produces a starting draft from the transcription. You read it, correct it, add the clinical reasoning only you can add, and you sign off. Nothing leaves your hands without your review. The note is yours, and the responsibility for it stays yours.

I think the word "scribe" actually helps here. A scribe writes down what's happening so the expert in the room can think. A scribe doesn't make the call. The judgment — what's clinically significant, what to flag, what the plan is — that's you, and it should always be you.

We built Soma's [notes side and reports side](/product) around that idea. The draft is a convenience, never an authority. If a tool ever asks you to trust its clinical conclusions, that's the moment to walk away.

![A laptop screen showing a padlock and secured-connection graphic](/images/article-body/pexels-dan-nelson-1667453-4973899.jpg)

*Privacy as the starting posture, not a feature bolted on later.*

## Is it safe for client privacy?

Privacy has to be the starting posture, not a feature you bolt on later. For us that means a few concrete things, and I'd hold any tool you evaluate to the same bar.

First — and this is critical — a responsible scribe transcribes in the moment. The valuable thing is the transcription that helps you draft, and nothing from the session is retained beyond what you approve.

Second, de-identified data matters. When clinicians set Soma up, what they share with us is de-identified — no client's name or identifying details. Stripping identifiers out of clinical text reliably is genuinely hard; [research on automated de-identification of clinical notes shows it's a real technical problem](https://www.nature.com/articles/s41598-024-81170-y), not something to wave away. Treating it seriously is the whole point.

Third, consent is non-negotiable. Your client should know a scribe is being used and agree to it. More on how I'd introduce that below.

And one honest note: some employers and clinics restrict AI tools, sometimes for good reasons. If you're not solo, check your organization's policy before you bring any scribe into a session. I'd rather you ask first than assume.

![A hand writing notes in a spiral notepad with a pen](/images/article-body/pexels-artempodrez-6779632.jpg)

*A draft should follow your structure and phrasing — the way you'd write it yourself.*

## Will the notes sound like me?

They should — that's the entire point, and it's the thing clinicians ask us about most. Nobody wants their charts to read like they came off an assembly line.

The therapists, counsellors, and psychologists we work with don't want a generic template. They want notes that sound like *them* — their structure, their phrasing, the way they'd actually describe a session. A note that reads like someone else's is almost worse than a blank page, because now you have to unpick it.

So the goal we hold ourselves to is a draft that reads like *yours*. The draft follows your shape, not ours — so it reads the way you actually write, not some anonymous house style. I won't get into the mechanics here; what matters is the outcome. If the draft doesn't sound like you, the tool hasn't done its job, and you should expect better.

Your voice is part of your clinical work. It carries your reasoning and your relationship with the client. An AI scribe that flattens that into boilerplate isn't saving you time — it's just handing you editing work in a stranger's words.

## How do I introduce it responsibly?

Start with consent, keep your judgment, and review everything before it's final. Here's the simple way I'd approach it.

Tell your client plainly. Something like: "I use a software tool that helps me transcribe our session so I can write my notes faster and stay more present with you. Nothing is stored that I haven't reviewed myself. Is that alright with you?" Plain language, honest framing, their choice.

Then give it a small run before you lean on it. Try it on a few sessions, see whether the drafts actually read like yours, and check that the time saved is real for your workflow. No rush — you've got plenty of runway to decide if it fits.

Keep your review step sacred. The draft is a first pass. You read it, you correct it, you add what only you can add, and you sign off. If a note doesn't reflect your clinical thinking, it's not done — and the software should make that easy to fix, not hard.

Finally, mind your setting. Solo practice gives you more latitude; a clinic may have policies. Check first, and pick a tool that's transparent about how it handles data so you can answer questions if they come up.

## The short version

An AI scribe for therapists transcribes your session to help you draft notes in your own voice. It doesn't write your notes for you, it doesn't hold on to your session data, and it doesn't replace your judgment. Consent first, de-identified data, your review, your sign-off — that's the responsible shape of it.

We built Soma for the clinicians drowning in documentation, and I never forget that you're trusting us with the most careful work there is. Thank you for taking the time to think it through carefully — it means a great deal to us, and it's exactly the kind of skepticism this work deserves.

If you want to see how the notes side and the reports side actually feel in practice, give it a run and see if it sounds like you. Here's [a clinician-first alternative to ChatGPT for your notes](/l/chatgpt-for-therapists). I'd love to hear how it goes.

With gratitude,

— Ian


AI Scribe for Therapists: Transcription Done Right


## The Documentation Crisis

If you're a therapist in private practice, you already know the problem. The work that drew you to this profession -- sitting with clients, holding space, facilitating change -- is increasingly crowded out by documentation. Notes, treatment plans, progress updates, insurance forms. The administrative burden is real, and the research confirms it.

A 2024 Google Cloud/Harris Poll study found that administrative work contributes to burnout for 82% of clinicians. The National Council for Mental Wellbeing reported in 2023 that 93% of clinicians experienced burnout. And a 2022 MHCC study found that 61% of Canadian clinicians report burnout, with 50% intending to leave the profession.

The question isn't whether documentation is a problem. It's whether AI scribing actually helps -- and the 2025 research is now clear enough to answer.

![Abstract rendering of a double-helix strand built from coloured spheres](/images/article-body/pexels-googledeepmind-25626516.jpg)

*The 2025 research is now clear enough to answer whether AI scribing helps.*

## What the 2025 Research Shows

### 15,791 Hours Saved

The Permanente Medical Group, in partnership with the American Medical Association (AMA), published results in 2025 showing that their ambient AI scribe deployment saved 15,791 hours of documentation time. That's equivalent to 1,794 eight-hour workdays -- nearly five years of full-time documentation work eliminated.

While this study covered multiple medical specialties, the implications for clinical practice are direct. Therapy documentation involves the same core tasks: capturing session content, structuring it into clinical note formats, and ensuring accuracy and compliance.

### Burnout Reduction in 30 Days

A 2025 study published in PMC (PubMed Central) examined the impact of ambient AI scribes on clinician burnout. The results were striking: burnout rates dropped from 51.9% to 38.8% after just 30 days of AI scribe use.

A 13-percentage-point reduction in burnout in a single month is clinically significant. For context, most burnout interventions in healthcare show modest effects over much longer timeframes. The immediacy of this result suggests that documentation burden is a primary driver of burnout -- and that removing it produces rapid relief.

### High Clinician Satisfaction

The same PMC clinician study found that 84% of clinicians reported a positive effect on client communication when using AI scribes. Clinicians showed the highest adoption rates across all specialties studied.

This finding challenges the concern that AI scribes would make clinical encounters feel impersonal or technology-driven. Instead, clinicians reported that removing the documentation task allowed them to be more present with clients -- exactly the outcome that therapy demands.

### Time Savings Per Provider

A 2025 University of Wisconsin study found that AI scribes saved an average of 30 minutes per day per provider. For a therapist seeing 5-8 clients daily, that translates to 2.5 to 4 hours per week -- or 130 to 208 hours per year.

Tierney et al. (2024), published in NEJM Catalyst, reported approximately 50% reduction in documentation time across their study population. For a therapist spending 15-20 minutes per note, this means notes completed in 7-10 minutes.

![A laptop, notebook, glasses and coffee on a wooden desk by a window](/images/article-body/pexels-arina-krasnikova-5951553.jpg)

*Not all scribes are equal — format support, privacy, and workflow fit matter.*

## What Solo Practitioners Should Look For

The research validates AI scribing as a category. But not all AI scribes are created equal, and the differences matter significantly for private practice therapists.

### Clinical Note Format Support

General-purpose AI tools produce unstructured text. Clinical practice requires structured formats: SOAP (Subjective, Objective, Assessment, Plan), DAP (Data, Assessment, Plan), BIRP (Behavior, Intervention, Response, Plan), and progress notes. A tool that can't produce these formats creates more work, not less -- you'll spend time restructuring the output into the required format.

### Privacy and Compliance

This is the most critical differentiator. In Canada, PIPEDA governs the handling of personal health information. In provinces with additional legislation (like Ontario's PHIPA), requirements are even more stringent. Any AI tool that processes clinical session data must comply with these requirements.

Key questions to ask:
- Where is the data processed and stored?
- Does the platform maintain client anonymity?
- Is there an audit trail for data access?
- Does the tool have a BAA (Business Associate Agreement) or equivalent?
- Can data be exported and deleted on request?

### EHR Integration

Most therapists in private practice use an Electronic Health Record (EHR) system. An AI scribe that exists as a standalone tool creates a copy-paste workflow that adds friction. Look for tools designed as EHR overlays that work alongside your existing system rather than requiring a rip-and-replace migration.

### Full Workflow vs. Transcription Only

This is where the biggest differentiation exists. Most AI scribes on the market focus exclusively on transcription and note generation -- they transcribe what happens during a session and produce a draft note.

But documentation is only one part of the clinical workflow. Session preparation (reviewing between-session data, identifying themes, surfacing risk signals) and follow-up (delivering homework, tracking compliance, maintaining the therapeutic loop between sessions) are equally important and equally time-consuming.

A full-workflow tool handles prep, session documentation, and follow-up. A transcription-only tool handles one of these three.

## Why Purpose-Built Tools Beat Generic AI

Many therapists have experimented with ChatGPT or similar general-purpose AI tools for documentation. The appeal is understandable: they're accessible, flexible, and already familiar.

But the limitations are significant:

- **No session context.** ChatGPT doesn't know your client, their history, or their treatment goals. Every note requires extensive prompting to produce clinically appropriate output.
- **No clinical formats.** You'll need to specify SOAP structure every time and hope the output is correctly organized.
- **No compliance.** Data entered into ChatGPT is processed on OpenAI's servers under OpenAI's terms of service -- not under PIPEDA or PHIPA requirements. There's no BAA, no client anonymity, and no audit trail.
- **No integration.** Every interaction is a manual copy-paste workflow.
- **No continuity.** ChatGPT doesn't remember previous sessions or track longitudinal patterns.

Purpose-built clinical AI tools address all of these: session context is maintained, clinical formats are built in, compliance is architected from the ground up, and the tool integrates into the clinical workflow rather than existing alongside it. The clinician's judgment and final sign-off remain with the clinician -- the software drafts, the professional decides.

![An hourglass with running sand against warm sunset light](/images/article-body/pexels-dominiquemel-37113105.jpg)

*Time recovered each week is where the economics turn favourable.*

## The ROI for Solo Practitioners

For a solo practitioner seeing 20 clients per week:
- At 15 minutes saved per note, that's 5 hours per week recovered
- At an average billing rate of $180/hour, those 5 hours represent $900/week in potential capacity
- Monthly cost of most AI scribe tools: $50-150
- Monthly value recovered: $3,600+
- ROI: 24x to 72x

Even conservatively -- counting only the time savings without considering the burnout reduction, improved clinical quality, and capacity to see additional clients -- the economics are clear.

## The Bottom Line

The 2025 research removes the guesswork. AI scribes save meaningful time, reduce burnout, and improve clinical communication. For solo practitioners, the remaining question isn't whether to adopt one, but which one to choose.

Look for clinical note format support, privacy compliance, EHR integration, and full-workflow capability. The tool should make you more present in session, not create a new set of technical tasks to manage. I compared [ChatGPT against purpose-built clinical AI](/articles/2025-10-06_ChatGPT_and_Therapy) and laid out [how therapists cut documentation time](/articles/how-therapists-cut-documentation-time) if you want to go further. And here's [a clinician-first alternative to ChatGPT for your notes](/l/chatgpt-for-therapists).

---

*References: Permanente Medical Group/AMA (2025); PMC Ambient AI Scribe Study (2025); PMC Clinician Communication Study (2025); University of Wisconsin (2025); Tierney et al. (2024), NEJM Catalyst; National Council for Mental Wellbeing (2023); Google Cloud/Harris Poll (2024); MHCC (2022).*


AI in Practice

AI Scribe for Therapists: Transcription Done Right

AI Scribing in Private Practice: What the 2025 Research Actually Shows