Where AI note takers store interview data, and how to find out for yours
On this page
- What data does an AI note taker create?
- What are the three storage models?
- Examples: where named tools say interview data goes
- Why do subprocessors matter so much?
- Where do copies go after the call?
- How do you find out where your tool stores data?
- A data map you can copy
- Why does the location matter for interviews?
- Questions people ask
Where an AI note taker stores interview data depends on the kind of tool. Meeting platforms keep recordings and transcripts in the organizer's cloud storage: Microsoft Teams in OneDrive or SharePoint, Google Meet in the organizer's Google Drive, and Zoom cloud recordings in the Zoom cloud. Dedicated note-taker services keep audio, transcripts and summaries on their own cloud infrastructure and pass audio and text to subprocessors for transcription and summarization. Local-first apps keep transcripts on the interviewer's computer but may still send audio to a speech-to-text service. In every case, copies then spread into the ATS, email and chat. Vendor details below are as of October 2026, from each vendor's own pages.
Knowing the answer matters for interviews more than for most meetings: these are hiring records with retention duties, candidates can ask for them, and the candidate never agreed to the vendor's terms. This page explains what data a note taker creates, the three storage models, real examples, and how to map your own.
What data does an AI note taker create?
A single interview can leave eight or nine kinds of data behind, and they are not always stored together.
| Data | What it contains | Why it matters |
|---|---|---|
| Audio or video recording | Everything said, and for video, faces and surroundings | The most sensitive item; often the largest and longest-kept |
| Transcript | Every word, with speaker labels and timestamps | A full record, including personal details mentioned in passing |
| Summary or notes | A condensed version, sometimes with action items | Gets copied into the ATS, email and chat |
| Scores or ratings | Evaluations of the candidate, if the tool produces them | Can bring AI hiring rules into play |
| Speaker or voice data | Voice profiles some tools use to recognize who is talking | Voiceprints are biometric identifiers under Illinois law (740 ILCS 14/10) |
| Meeting metadata | Calendar title, attendee names and emails, times | Identifies the candidate even without the transcript |
| Search indexes and embeddings | Derived data that lets you search across interviews | May not be covered by "delete the transcript" |
| Logs and backups | System records and copies kept for recovery | Often outlive the deletion you asked for |
| Exports | Documents, emails and ATS notes created from the above | Leave the vendor's control entirely |
What are the three storage models?
1. Built into the meeting platform
The platform records or transcribes, and the files land in the cloud storage tied to someone's account, usually the organizer's. This is convenient for internal meetings and awkward for interviews: the file sits in a personal drive, shared by default with internal attendees, under that drive's retention rules rather than your hiring records policy.
2. A note-taker service in the vendor's cloud
A separate product, often a bot that joins the call or an app that uploads audio, sends the interview to the vendor's servers. The vendor stores the recording, transcript and summary there, and typically uses other companies (subprocessors) for hosting, speech-to-text and AI summarization. Your data's location is therefore every location on that list, not only the vendor's headquarters.
3. Local-first apps
The app runs on the interviewer's computer and keeps the finished transcript and notes there. Audio usually still has to reach a speech-to-text service during the call, so the useful questions are whether that audio is retained and by whom, and what, if anything, the vendor's server keeps.
Examples: where named tools say interview data goes
Each row is taken from the vendor's own documentation, linked, as of October 2026. Vendors change hosting and subprocessors; check the current page before you rely on a row.
| Tool | Model | What the vendor says | Source |
|---|---|---|---|
| Microsoft Teams | Platform | Recordings and transcripts are stored in OneDrive or SharePoint. For meetings, the recording saves to the organizer's OneDrive Recordings folder, even if the organizer did not attend; channel meetings go to the channel's SharePoint site. | Microsoft Learn |
| Google Meet | Platform | Recordings are saved in the meeting organizer's Google Drive in the "Google Meet" folder. Transcripts go to the same folder, are emailed to the host, co-hosts and the person who turned them on, and are attached to the calendar event. | Recordings; Transcripts |
| Zoom | Platform | With cloud recording, the video, audio and chat text are recorded in the Zoom cloud; local recording saves the files to your computer. | Zoom Support |
| Otter.ai | Vendor cloud | Subprocessor list (effective March 31, 2026) names Amazon Web Services as cloud service provider and customer data storage platform, in the United States, and lists Anthropic and OpenAI among its subprocessors. | Otter subprocessors |
| Metaview | Vendor cloud | "Metaview hosts all data on an AWS UK environment." Records audio and video; default retention is two years and can be changed. | Metaview security |
| BrightHire | Vendor cloud | Subprocessor list (last updated August 24, 2026) names Google for cloud infrastructure; AWS, AssemblyAI, Deepgram and Rev for transcription; and Anthropic, OpenAI, Microsoft and Zoom for summarization, with processing locations in the United States. | BrightHire subprocessors |
| Fireflies.ai | Vendor cloud | Encrypts meeting notes and transcripts at rest with 256-bit AES; offers Private Storage on Enterprise to store meeting data at a preferred location; states a "0-day data retention policy with all vendors and partners." | Fireflies security |
The local-first model is the one we chose for our own product. Interview Signal keeps transcripts, quotes, candidate names, notes and submittals on the recruiter's computer; audio goes to a speech-to-text provider in short chunks during the call and is not retained, and our server keeps only counts and durations. Details are on the security page. Whatever model you use, the questions below are the same.
Why do subprocessors matter so much?
A note taker is rarely one company. The BrightHire list above shows the pattern clearly: one company for infrastructure, several for transcription, several for summarization. Each is a place your candidate's words pass through and, depending on its terms, may be kept for a time. Three questions cover most of the risk:
- Which subprocessors receive audio or transcript text, as opposed to billing or support data?
- Do the AI and speech-to-text subprocessors retain inputs, and may they use them to train models?
- How will you be told when the list changes, and can you object?
The full question set is in the AI note taker security questionnaire, and contract terms that should back the answers are in data processing agreements for recruiting software.
Where do copies go after the call?
The vendor's storage is only the first copy. Within a day, the same interview usually exists in several more places:
- The ATS: a pasted or synced summary, sometimes the full transcript as an attachment.
- Email: automatic summary emails to attendees, forwarded notes, submittals to clients.
- Chat: notes shared in a hiring channel for a quick debrief.
- Calendars: transcripts attached to the meeting event, as Google Meet does.
- Interviewers' downloads: exported Word files and recordings on laptops.
- The client's systems, for agencies: once a submittal is sent, it follows the client's rules.
Each copy needs to be covered by your retention schedule and your deletion cycle. The list of places copies hide, and a schedule you can adapt, are in how long to keep interview notes. For Zoom specifically, the settings that control how long cloud recordings stay are in Zoom recording retention settings for interviews.
How do you find out where your tool stores data?
Check these six places, in this order, and keep copies of what you find with the date.
- The security or trust page. Hosting provider, region, encryption and certifications are usually stated here.
- The subprocessor list. The most specific public document: who, for what, where, and when the list was last changed.
- The data processing agreement. What the vendor commits to contractually, which may differ from the marketing page.
- The privacy policy. Retention, training and transfer statements, often written for end users rather than business customers.
- The assurance report. A SOC 2 report describes the system in scope; see SOC 2 for recruiting software.
- Your own admin settings. Region choices, retention periods, auto-sharing and who can see what in your account.
A data map you can copy
INTERVIEW DATA MAP — [tool] — completed [date] by [name]
DATA ITEM STORED WHERE (company, country) KEPT HOW LONG DELETED HOW
Audio / video [ ] [ ] [ ]
Transcript [ ] [ ] [ ]
Summary / notes [ ] [ ] [ ]
Scores [ ] [ ] [ ]
Voice profiles [none / where] [ ] [ ]
Search index [ ] [ ] [ ]
Backups [ ] [ ] [ ]
PROCESSED BY (not stored by us):
Speech-to-text [company, country, retains? trains?]
AI summarization [company, country, retains? trains?]
COPIES WE CREATE: ATS [ ] Email [ ] Chat [ ] Calendar [ ] Downloads [ ]
Covered by our retention schedule? [yes / gaps: ...]
Sources: [security page URL, subprocessor list date, DPA version]
Next review: [date, or when the vendor changes its subprocessor list]
Why does the location matter for interviews?
- Retention. Interview records have minimum retention periods in many places, and the vendor's defaults become yours unless you change them.
- Access requests. Under laws such as the GDPR and the CCPA, a candidate can ask for their data; you need to know every place it sits. See candidate data access requests.
- International transfers. For UK and EU candidates, storing or processing data in another country brings transfer rules; see recording interviews under UK GDPR.
- Legal holds. If a claim arrives, you must be able to stop deletion everywhere a copy exists, including the vendor's systems.
- Client contracts. Agencies often have clauses on where candidate data may be stored and who may process it.
None of this is legal advice; it is the inventory you need before anyone, including a lawyer, can give you an answer. Whether you may capture the interview at all is a separate question, covered in is it legal to use AI note takers in interviews.
Questions people ask
Where are Microsoft Teams interview recordings and transcripts stored?
According to Microsoft's admin documentation as of October 2026, Teams meeting recordings and transcripts are stored in OneDrive or SharePoint. For scheduled meetings the recording saves to the organizer's OneDrive Recordings folder, even if the organizer did not attend, and channel meeting recordings go to the channel's SharePoint site.
Where does Google Meet save interview recordings and transcripts?
Google's help center says, as of October 2026, that Meet recordings and transcripts are saved in the meeting organizer's Google Drive in the Google Meet folder. Transcript links are also emailed to the host, co-hosts and the person who turned transcripts on, and attached to the calendar event.
Do AI note takers store interview data in the US?
Many do, but not all, and the answer often involves several companies. A note-taker's own servers may be in one country while its speech-to-text and AI model subprocessors are elsewhere. Check the vendor's subprocessor list and data processing agreement; for example, Metaview says it hosts all data in an AWS UK environment, while Otter's subprocessor list names AWS in the United States for customer data storage.
How do I find out where my AI note taker stores candidate data?
Read the vendor's security or trust page, its dated subprocessor list, its data processing agreement and its privacy policy, then check your own admin settings for storage region and retention. Ask in writing for anything those documents do not answer, especially where audio goes during transcription and whether AI providers keep it.