What Is AI Therapy Documentation?
AI therapy documentation is clinical notes and summaries created by artificial intelligence from session content. Instead of writing everything by hand after each session, you record (with consent), get a transcript, and the AI turns that into a structured note using templates like SOAP or DAP. You review, edit, and sign off—keeping you in control while cutting documentation time from 15–30 minutes to a few minutes per session.
For psychologists, this means less administrative fatigue, fewer backlogs, and more consistent note quality. The AI handles structure and first-draft content; you provide the clinical judgment and final approval. Learn more in our dedicated AI therapy notes feature page.
How It Works
Your workflow stays simple: start a session recording in AINuma (or upload audio afterward), with consent as required. The system transcribes the session and then runs the transcript through an AI layer that identifies subjective content, observations, assessments, and plans. It maps these into your chosen template (e.g. SOAP or DAP) and produces a draft note. You open the draft, make any edits, add nuance or corrections, and save.
- Record the session with our therapy session recording app
- AI transcribes and generates a structured note in about 60 seconds
- Review and edit the draft—add professional judgment
- Save to the patient record; no re-typing or copying between tools
All of this happens inside a secure, access-controlled environment. Only authorized users see patient data.
SOAP & DAP Templates
AINuma supports the formats psychologists already use. SOAP (Subjective, Objective, Assessment, Plan) and DAP (Data, Assessment, Plan) are built in, so the AI organizes session content into the right sections. Subjective/Data capture what the client reported and what you observed; Assessment reflects your clinical interpretation; Plan covers goals, homework, and next steps.
Using consistent templates improves clarity for you, supervisors, and any future auditors or referral sources. You choose the template that fits your practice; the AI fills it; you refine and approve.
Example: From Session Recording to Structured Notes
Imagine a 50-minute session. You record it in AINuma with the client's consent. Within a couple of minutes after the session, the transcript is ready. You click "Generate note"; the AI fills in SOAP or DAP sections with the main themes, interventions, and follow-up items. You spend 2–3 minutes reviewing, tweaking wording, and adding a line only you could add. Then you save. What used to take 20+ minutes now takes a fraction of that, without sacrificing quality or control.
Is It GDPR Compliant?
AINuma is built with GDPR and healthcare privacy in mind. Processing of personal data follows strict access and security controls. You remain responsible as the data controller for your patients; we act as a processor where applicable. We recommend you use clear consent and disclosure for recording and AI-assisted documentation, keep our privacy and data processing terms on file, and align use with your jurisdiction's rules (e.g. GDPR in the EU, or local mental health record requirements).
Secure & GDPR ready means we design for those standards; you ensure your practice and consent processes meet them.
Why Psychologists Use AI for Documentation
Psychologists adopt AI for documentation to reclaim time, reduce burnout, and keep notes consistent. Manual note-taking after every session is one of the biggest administrative burdens in practice. AI-generated drafts cut that time sharply while preserving your role as the final decision-maker. Many also find that structured templates reduce variability and improve readiness for audits or supervision.
When the first draft is done in about 60 seconds, you can focus on what matters: the content of the note and the quality of care. That's why our practice management software puts the AI therapy notes generator at the center of the workflow.
Try It Free
You can try AINuma's AI therapy notes with a free trial—no credit card required. Record a session (or use sample audio), see the transcript and generated note, and judge for yourself whether it fits your workflow.