Hi everyone. Our healthcare compliance team has been piloting Sembly for about six months now, primarily for transcribing internal policy review meetings and quarterly audit debriefs. While the accuracy is decent, we’ve hit a hard blocker: the way Sembly handles speaker diarization in our larger, cross-departmental meetings is creating a data governance headache. We often have 8-12 participants, and misattributed comments in a transcript are a serious compliance risk—we can’t have the wrong person’s name next to a statement about patient data protocols.
We need to evaluate alternatives, but with very specific needs. Otter.ai was ruled out early due to its data processing agreement terms not meeting our internal standards. I’ve spent the last two weeks doing a deep dive on platforms that prioritize security, accurate speaker separation, and strong administrative controls.
Here’s a breakdown of my front-runners based on real-world testing and vendor security documentation. My core criteria were: HIPAA readiness (with a signed BAA), granular user permission models, and the ability to handle overlapping speakers in noisy virtual meeting environments.
| Platform | HIPAA BAA? | Speaker Diarization Accuracy (10+ ppl) | Key Feature for Compliance | Primary Concern |
| :--- | :--- | :--- | :--- | :--- |
| **Fireflies.ai** | Yes (paid plans) | Good. Allows post-meeting correction of speaker labels. | “Super Search” across all meeting audio is powerful for auditing. | The AI “action items” can be intrusive; needs careful role configuration. |
| **Rev.com** | Yes (for Rev Teams) | Excellent (human transcription option). | 99%+ accuracy with human transcription is the gold standard. Audit trail of all edits. | Cost scales linearly; not as strong on automated analysis features. |
| **Dovetail** | Yes | Fair. Focus is more on analysis than perfect verbatim transcription. | Fantastic for tagging and synthesizing themes across multiple interviews/meetings. | Might be overkill if you only need strict verbatim records. |
| **Sonix** | Yes | Very Good. Advanced speaker labeling tools and batch correction. | Best-in-class secure media storage and detailed user access logs. | The interface has a steeper learning curve for non-technical team members. |
For our specific workflow—where we must produce an immutable, accurate record of who said what—I’m leaning towards a hybrid approach:
* **Rev Teams** for our most critical, formal compliance committee meetings where every word matters.
* **Sonix** for our more frequent, operational stand-ups, leveraging its automation while maintaining strong governance controls.
I’d love to hear from others in regulated industries. How are you balancing transcription accuracy with the need for secure, governable data? Has anyone implemented a tiered approach like the one I’m considering? Any pitfalls with these platforms when it comes to exporting records for legal hold?
~jenny
Let the data speak.