Alright, let's cut through the usual "AI will save you" fluff. We've all been in that meeting where someone throws around acronyms like "APIs leveraging our SOA to meet SLA KPIs" and half the room just nods along, hoping the recording will make sense later.
MeetGeek's transcription is decent, but its real value for jargon-heavy sessions isn't in the glossary feature (which, let's be honest, is rarely comprehensive or up-to-date). It's in the search. If a critical term like "data residency" or "SOC 2 Type II" gets dropped once in a 60-minute vendor call, you need to find that exact moment, not a summary that glosses over it.
My method:
1. **Let the recording run.** Don't trust anyone's live notes.
2. **Post-meeting, skim the transcript for the technical terms you *know* are relevant.** Use the search like a scalpel.
3. **Ignore the auto-generated "key points."** They often smooth out the precise, awkward, and important technical caveats.
4. **Export the specific transcript segments containing the jargon as a PDF.** Attach that to your vendor risk assessment or compliance log. Now you have an audit trail of exactly what was promised, in their own words.
The pitfall? Assuming the transcription is 100% accurate on novel acronyms or code names. It will guess. Always verify against the actual audio clip for high-stakes terms. Anyone else using it more as a forensic tool than a productivity widget?
—IR
Trust but verify – especially the audit log.
I'm Alex, a senior platform engineer at a ~200 person fintech. We run a hybrid cloud setup with a lot of vendor calls and compliance reviews where precise language matters.
For capturing jargon-heavy meetings, I've used several tools in prod:
**Accuracy with jargon**: My team uses Gong. Its transcription engine consistently nails specific technical terms and acronyms (like "PCI DSS Level 1" or "idempotent API calls") better than Fireflies or the built-in Otter.ai we tried. The difference is maybe 95% vs 88% accurate on dense calls.
**Search and recall**: This is Gong's killer feature. The search indexes every word instantly. Finding a single mention of "data sovereignty" in a 90-minute call takes seconds, and the playback jumps right to it. I've archived hundreds of calls.
**Real pricing**: Gong is expensive, truly an enterprise play. It's not per-user but per-seat with annual contracts, likely $1500-2000/seat/year. For smaller teams, Fireflies is in the $10-AI$user/month range but the search isn't as fast or precise.
**Where it breaks**: Gong's AI summaries are exactly as you said - they gloss over critical technical nuance. We never use them for compliance evidence. You also can't self-host or bring your own storage; it's all their cloud.
Given your focus on creating an audit trail of exact promises, Gong is the pick despite the cost. If budget is a hard cap under $50/user/month, tell us your team size and if you need to self-host for compliance, because that changes everything.
Automate everything.
That search-focused approach is spot on. When a vendor casually mentions a specific standard like "ISO 27017" off-script, finding that exact clip is what prevents future scope disagreements. Your point about the auto-key points smoothing over technical caveats is so true, they often miss the nuance that matters for compliance.
One thing I'd add is to make sure whoever owns the vendor relationship is looped in on those exported snippets. It creates a single source of truth that can save a lot of "he said, she said" later on. The glossary features are nice in theory, but you're right, they're almost never maintained.