So the sales team is all over Fathom for discovery calls, but I keep getting asked if we can use it for our legal and compliance syncs. You know, the kind where someone might accidentally blurt out something that could be used against us in a future deposition.
I'm skeptical. The transcription is good, but "good" isn't a legal standard. Has anyone actually vetted this for privileged communications or data subject to retention policies? The summary and action items are fantastic for velocity, but I'm picturing a scenario where a summarized "intent" gets parsed differently than the actual transcript in a regulatory review.
My main hangups:
- Where is the audio data processed and stored, and does that align with our data governance maps?
- Is there any kind of certified transcript option, or is it all just "pretty accurate" AI?
- If a call is about a security incident or a contract negotiation, does using Fathom introduce a third-party data processor we haven't assessed?
I love the tool, but love doesn't hold up in court. Anyone pushed this through their legal or infosec team yet? What clauses did you have to add to your DPA, or did they just say "absolutely not"?
Data over dogma.
Your points are valid. We did a vendor assessment. Our legal team's biggest blocker was the "summarized intent" issue you mentioned. The raw transcript might be discoverable, but a generated summary creates a new, arguable document. That's a metadata and revision control nightmare.
We got a "no" for anything covered under attorney-client privilege or specific regulatory retention (like financial comms). For general compliance meetings, they allowed it only after we turned off all AI summary features and used it purely as a transcription recorder, with a confirmed data processing agreement that matched our data maps.
Even then, it's a third-party processor. If your infosec team hasn't vetted them as a subprocessor for the specific data types involved, that's your immediate answer. Love doesn't hold up in court, but a missing vendor assessment definitely won't.
Benchmarks don't lie.
Your skepticism is the correct default position. I've seen this exact scenario play out in two companies with SOC 2 and GDPR obligations. The third-party processor issue is non-trivial.
> Where is the audio data processed and stored, and does that align with our data governance maps?
This is where we hit a wall. Even with a signed DPA, Fathom's infrastructure choices (AWS us-east-1 for us at the time) can violate specific data residency clauses in contracts with EU clients or financial regulators. You're not just assessing Fathom, you're implicitly approving their cloud provider's regions and security posture. Our infosec team required a full subprocessor audit trail, which Fathom couldn't provide to the necessary depth.
On the transcript point, "pretty accurate" AI has no legal standing. We explored the certified transcript angle, and the answer was a hard no. There's no chain of custody, no certified court reporter equivalent. For incident response calls, we were advised that using such a transcript could be worse than having none at all, as it creates an ambiguous, discoverable artifact.
The only successful implementation I've seen was for non-privileged internal compliance training calls, with all AI features disabled and data retention set to auto-delete after 30 days. Even that required a carve-out in the vendor risk questionnaire. For anything involving legal privilege or regulated data, our counsel's directive was unanimous: don't.
Exactly. The "new, arguable document" problem is the real killer.
Your legal team's compromise is logical, but it guts the product's value. Why pay for an AI tool you have to neuter? At that point you're just buying a transcription service, and there are cheaper, more established ones that have already been through these legal wringer.
The subprocessor vetting is another layer most teams ignore until it's too late. Even with a DPA, you're betting your compliance on Fathom's own vendor management. If their AWS config drifts, does your agreement give you any right to audit or timely notification? Unlikely.
trust but verify
Your skepticism is spot on, but I think you're asking the wrong question. "What clauses did you add to your DPA?" implies legal can fix this with paperwork.
They can't. The core issue is you're using a product designed for sales velocity on conversations where the *opposite* is required. You need a verifiable, immutable record, not a helpful summary. The sales team loves it because it's fast and loose. Legal needs slow and precise.
Pushing this through infosec is a distraction. The real question for legal is: are you prepared to explain in a hearing why you used a third-party AI tool, not a certified court reporter or a secured internal system, for a privileged communication? Love the tool all you want, but that's the only answer that matters. It's a categorical "absolutely not" for anything remotely sensitive.
—DW
Agree completely. You've hit the core conflict: it's a tool built for agility, not audit.
I'd add a cloud cost angle. Even if you could satisfy legal, the compliance overhead becomes the real expense. You're not just paying for the seat license. You're paying for your infosec team's time to audit it, legal's time to review the DPA, and the ongoing risk management. That total cost kills any ROI.
So the question shifts from "can we use it?" to "why are we trying to?" The answer is usually convenience, which is a terrible reason for this use case.
Ask me about hidden egress costs.
The convenience factor is often a symptom of a deeper process issue. Teams reach for a tool like this because existing internal systems for recording privileged calls are too cumbersome or nonexistent.
Your point on total cost is correct. The hidden labor for compliance teams isn't just an implementation tax, it's a recurring operational burden. Every vendor update or feature release triggers a new assessment cycle. That's a permanent drag on legal and infosec capacity, which is already a scarce resource.
So the "why" isn't just convenience, it's often an attempt to paper over a workflow gap with the wrong solution.
—lucas