Upheal vs Mentalyc vs DeepCura: A Working Therapist's 30-Minute Comparison

A licensed clinician with a 24-client weekly caseload spends, by the most conservative honest estimate, eight to twelve hours per week on documentation. Progress notes after every session. The intake biopsychosocial that took 90 minutes the first time you wrote one and still takes 45 every time you onboard a new client. Treatment-plan reviews. Supervision documentation if you’re a supervisee. Insurance-required SOAP/DAP notes for the panels that audit. Most of that is work that has to happen — your license, your malpractice carrier, and your billing all depend on it. None of it is the work that helps your client.

Three AI tools have become the names you’ll hear most often if you ask a colleague at conference, in a clinical supervision group, or on r/therapists which AI scribe to actually try: Upheal, Mentalyc, and DeepCura. They are not the same tool. They make different trade-offs on privacy, on what they automate, on which EHR they work well with, and on how much of your money they expect each month. This guide is the honest comparison written for the LCSW, LMFT, LPC, LMHC, or licensed psychologist who has 30 minutes between sessions to figure out which one — if any — fits the practice you actually run.

The 30-Second Verdict

If you only read one paragraph: Mentalyc is the strongest pure documentation tool for a private-practice therapist focused on solid SOAP/DAP notes and a built-in SMART treatment planner, with the cleanest published privacy posture. Upheal is the strongest fit if you do most of your work via telehealth and want video, transcription, and notes in a single integrated platform. DeepCura is the most ambitious — agent-operated workflow that automates intake, documentation, ICD-10/CPT coding, and some billing — and is the right choice for a small group practice or an agency clinician where the documentation burden bleeds into pre-visit prep and billing. None of the three replaces clinical judgment. All of them have rough edges your colleagues haven’t told you about.

HIPAA, BAA, and the Question Your Compliance Officer Asks First

All three tools market themselves as HIPAA-compliant and offer a Business Associate Agreement (BAA) to qualified covered entities. The differences worth knowing:

Mentalyc publicly states that PHI is not used for model training, that audio is deleted after transcription, and emphasizes anonymization and minimal data retention. This is the cleanest privacy posture of the three on paper.

Upheal offers HIPAA compliance and a BAA, references GDPR and the UK Data Protection Act for international use, and operates a cloud infrastructure that supports both US and EU compliance frameworks. Independent comparison articles flag that Upheal’s public materials suggest data may be used to improve services unless the user opts out — a meaningful difference from Mentalyc’s posture, and worth confirming explicitly with your Upheal account rep before you sign.

DeepCura markets itself as a clinical AI platform for medical specialties and psychiatry, with HIPAA-oriented workflows, CASA certification, and audit logs / tool-call traceability. The public materials don’t include the same explicit “PHI never used for training” statement Mentalyc makes, so the question becomes part of your BAA negotiation rather than something the website resolves up front.

The clinical posture for all three. HIPAA compliance is a vendor claim. Your liability — to your clients, to your licensing board, and to your malpractice carrier — depends on your own informed-consent process, your signed BAA, and how clearly your intake and ROI forms document client awareness that AI is processing session content. Don’t skip the BAA. Don’t assume the consent language in your existing intake covers AI-mediated documentation; it almost certainly doesn’t.

What Each Tool Actually Does

Three operational reads from this matrix.

Mentalyc’s strength is the depth of its therapy-specific templates. The biopsychosocial intake templates, the Mental Status Exam (MSE) sections, the SMART treatment-planner with periodic progress measurement — these are products of a team that built specifically for licensed therapists, not a general-purpose medical AI scribe that added therapy as an afterthought. The output reads like notes a clinical colleague would write, not like notes a coding department would file.

Upheal’s strength is integration. If you’re doing 80% of your work over video and you’re tired of running session in Doxy.me or SimplePractice video, opening a separate transcription tool, and then pasting outputs into your EHR, Upheal collapses that stack. The “Smart Fill” into EHR text boxes is a quietly useful feature that doesn’t headline the marketing but saves real friction for the in-network telehealth practice.

DeepCura’s strength is the operational layer beyond notes. It’s the only one of the three that meaningfully addresses the non-documentation documentation work — pre-visit summaries, intake-form generation, ICD-10/CPT/E&M coding with reasoning, billing-workflow integration. For a clinician at a small group practice or an agency where the billing department is breathing down your neck about documentation that supports the codes claimed, DeepCura’s coding-reasoning capability is genuinely differentiated.

Pricing Tiers

All three publish pricing for solo practice; group and enterprise tiers move to “talk to sales” once you cross specific seat thresholds.

Mentalyc. Solo-practice tier in the $40-50/month range with usage-tier limits on session count; an unlimited tier closer to $80/month for solo therapists running heavy caseloads. Group-practice tier scales per-seat. Volume discounts at 10+ seats.

Upheal. Solo tier in the $50-60/month range. Pricing scales with session volume more aggressively than Mentalyc. The native-telehealth video capability is the value-add justifying the price gap relative to a documentation-only tool.

DeepCura. Public pricing of $129/month for the medical-scribe tier, with per-encounter pricing models available for larger practices. The price reflects the broader scope (intake → notes → coding → billing) rather than just AI documentation.

For a 20-25-client weekly caseload solo therapist primarily doing in-person or third-party-telehealth work, the math typically lands on Mentalyc unless coding support is a load-bearing requirement. For a 25-client weekly caseload primarily on telehealth with a desire to consolidate platforms, Upheal. For a small group practice (3-8 clinicians) where billing-cycle friction is meaningful, DeepCura’s per-clinician cost is justified by the coding and billing automation.

EHR Integrations: Where the Honest Friction Lives

The clinical practice management software market is fragmented. The integration story differs meaningfully across the three tools.

SimplePractice. Mentalyc and Upheal both have working integrations of varying depth — Upheal’s Smart Fill into SimplePractice text boxes is the cleanest published integration of the three. DeepCura works alongside SimplePractice but doesn’t deeply embed.

TherapyNotes. Mentalyc has strong template alignment with TherapyNotes’ progress-note structure; Upheal supports calendar sync. DeepCura is more limited.

TheraNest. Light integrations across all three; verify with your account rep before committing.

Counsol, Practice Better, Jane. Practice Better and Jane (popular in Canadian practice) have growing but uneven integration support. If you’re on one of these and integration depth matters, ask each vendor for a screen-share demo of the actual integration before signing.

The honest read. None of the three has deeply native integration with every major EHR. The realistic expectation is one of two patterns: (a) audio capture and transcription happens in the AI tool, output is copy-pasted or “Smart-Filled” into the EHR’s note field; or (b) audio is captured in the AI tool and output is exported as a PDF or structured text that gets manually attached to the client record. Neither is bad, but it’s not the seamless integration the marketing implies.

The Audio Capture Question

This is where clinical-practice realities collide with vendor architecture, and it’s worth slowing down on.

In-session live recording. Upheal supports it natively (the platform is the telehealth video as well). Mentalyc and DeepCura support it via mobile or laptop microphone capture but require the clinician to start and stop the session manually.

Transcription-only mode. All three support uploading a session recording made on your own device for processing — but the workflow assumes you’ve recorded with explicit informed consent.

Upload-only mode. All three accept clinician-typed session summaries and generate structured notes from them — useful for clinicians who don’t want any audio recording but still want template scaffolding.

The clinical reality nobody addresses publicly. Many therapists do not record sessions. Some clients refuse recording even when offered the consent. Some modalities (especially trauma-focused work, EMDR, IFS parts work) don’t lend themselves cleanly to live transcription because the silence and somatic work the audio captures isn’t the meaningful clinical content. For therapists in this category, the upload-only mode is the genuinely useful workflow, and it’s the one all three tools support adequately. The vendor marketing implies you’ll always be recording; the practical use is often you typing a five-minute session summary and getting structured notes back.

Output Style: SOAP, DAP, BIRP, GIRP, and the Voice Mismatch

Note formats supported across the three:

The format support is broadly comparable. The differentiator is voice. Mentalyc’s notes read like a therapist wrote them — appropriate clinical hedging, modality-appropriate framing, language consistent with how a master’s-level clinician would structure thinking. Upheal’s notes are competent and slightly more analytical/structured. DeepCura’s notes lean medical — they’re cleanly structured for billing review and coding defensibility, which is the right voice if you’re submitting to insurance panels and the wrong voice if you’re trying to share notes with a clinical supervisor for case consultation.

If you’re going to use the output verbatim without editing, voice matters. If you’ll always edit before saving, all three are competent starting points and Mentalyc’s edge narrows.

Therapy Modality Coverage

Real practice involves modality-specific language. The model fit for each:

• CBT. All three handle CBT framing, thought records, behavioral activation, and standard cognitive-restructuring documentation cleanly.
• DBT. Mentalyc has the best modality-specific templates for DBT (skills group documentation, diary cards). Upheal and DeepCura are usable but less specialized.
• IFS, EMDR, EFT. Modalities with idiosyncratic vocabulary (“parts,” “Self,” “8 phases,” “tapping”) are where the tools’ generic medical-AI training shows. Mentalyc’s IFS support is competent if you train it on your preferred terminology; the others require more editing.
• Psychodynamic / relational. This is where the tools struggle most. The phenomenology of transference, countertransference, and the therapeutic alliance doesn’t translate cleanly to structured notes. All three produce competent surface-level documentation; none capture what a psychodynamic supervisor would call the meaningful clinical material.

If you work primarily in CBT-leaning structured modalities, all three are strong. If your practice is heavily psychodynamic, IFS, or EMDR, expect to do more editing on the AI output regardless of tool — and weight Mentalyc’s depth of template customization more heavily in your decision.

Supervision Considerations

This is the part of the comparison that the vendors don’t market and that matters more than they let on.

For supervisees (LCSW-A, LMFT-A, LPC-A, pre-licensed clinicians accumulating supervised hours): your supervisor needs to be able to read your case material — including the AI-assisted notes — and your supervision documentation needs to capture the clinical reasoning, not just the structured output. Mentalyc has the strongest explicit supervision-support workflow; Upheal supports it via shared workspaces; DeepCura is less supervision-aware.

For supervisors: if your supervisees are using AI scribes, your supervisory standard of care is now to review the AI-generated notes critically — both for clinical accuracy and for whether the supervisee is letting the tool override their developing clinical judgment. New supervisors should add a five-minute conversation about AI documentation use to the first supervision session.

For board reporting (if applicable): some state licensing boards have begun explicitly requiring disclosure of AI-assisted documentation in client consent forms. Check your state board’s most recent guidance — this is moving fast, and the standard of care expected of you in 2026 is meaningfully different from what was expected in 2024.

Liability and the Documented-Use Standard

Three concerns documented in clinical journals and worth thinking through.

The “I trusted the AI” defense doesn’t exist. Just as the Mata v. Avianca-era sanctions reset expectations for legal AI use, clinical liability case law is establishing that the AI-generated note is your note. If it contains a clinical error you didn’t catch, the malpractice exposure is yours. The duty of care didn’t transfer when you clicked “generate.”

Informed consent is now multi-layered. Pre-AI consent: “I’ll be taking notes during our sessions.” Current adequate consent: “I use an AI tool to assist with session documentation. The tool [transcribes audio / processes a written summary]. The vendor maintains a HIPAA Business Associate Agreement with my practice. Your clinical content is [used / not used] for the AI provider’s model improvement. You can request to opt out of AI-assisted documentation; the alternative is hand-written notes that may take longer to complete.”

Supervisee-reviewed AI notes. If you’re a supervisor and your supervisee is using AI documentation, your liability includes the duty to review AI output as part of supervision. Skipping that review and signing off on something you didn’t read is exposure even if the supervisee was the technically responsible clinician.

What These Tools Will Not Do

Worth saying directly because some of the marketing implies otherwise.

They will not catch clinical risk you missed in session. AI scribes document what was discussed. They don’t independently flag suicidal ideation, abuse disclosures, or risk concerns that you missed in the moment. Your assessment of risk is yours.

They will not improve your clinical formulation. A skilled clinical formulation reflects the integration of theory, history, presentation, and your therapeutic relationship — work that requires presence, not summarization. AI documentation makes the recording of the formulation faster; it doesn’t make the formulation better.

They will not teach you to be a better therapist. A new clinician who relies heavily on AI scaffolding for notes risks atrophy of the clinical-thinking habit that good documentation reinforces. The skill of writing a clean BIRP note is also the skill of organizing your clinical thinking. Don’t outsource that skill while you’re still developing it.

They will not handle your hardest cases gracefully. The 90-minute crisis session where you helped a client through a panic attack and the conversation included contradictory disclosures, somatic interventions, and a safety-planning conversation — the AI’s structured output of that session will read as competent but won’t capture the clinical texture. You’ll edit substantially. That’s not a tool failure; it’s a category limit.

A Practical Recommendation Framework

Pick Mentalyc if you’re a solo practitioner doing 20-25 weekly clients across CBT/DBT/structured modalities, you want the cleanest privacy posture, you want a SMART treatment planner integrated with your notes, and you don’t need native telehealth video.

Pick Upheal if you’re a 25+ client telehealth-primary clinician who wants to consolidate video, transcription, and documentation into a single platform, and the slightly less clean privacy posture is acceptable to you after a careful BAA review.

Pick DeepCura if you’re at a small group practice (3-8 clinicians) where billing/coding friction is real, you need ICD-10/CPT/E&M support that the documentation tools above can’t match, and the $129/month per clinician is justified by reduced billing-cycle friction.

Pick none of them if you’re early in your licensure (less than 18 months post-graduation), if your practice is heavily psychodynamic or relational, or if your client population includes high concentrations of clients for whom AI documentation would be clinically inappropriate (severe trauma populations, vulnerable adults uncomfortable with technology, clients in active suicidal crisis where every documentation choice has weight).

Bottom Line

All three tools are good enough to use; none of them is good enough to deploy without thinking through the consent, the supervision, and the liability implications first. The biggest mistake I see colleagues make is treating an AI-scribe rollout as a personal-productivity decision when it’s actually a clinical-practice decision. The choice has to integrate with your modality, your client population, your supervision context, your malpractice carrier’s stance, and your state board’s most recent guidance — not just your personal time-saved math.

If you have 30 minutes this week, the most useful thing you can do is read one tool’s BAA carefully and update your intake/consent forms to reflect the AI-documentation reality you’re moving into. The tool comparison matters; the consent and supervision adjustments matter more.