LEXICANON ← Back to Privacy

How your data flows, and who else touches it

Last updated 15 June 2026 · Operated by Govannon, Netherlands · Covers the Lexicanon meeting-intelligence platform.

The short version. Lexicanon records a meeting, turns the audio into text, and uses an AI model to write up the summary, decisions and action items. To do the first two steps we rely on a small number of outside services (called sub-processors). This page lists every one of them, what they receive, where they are located, and whether they could use your data. We've written it for people who need to assess us — procurement, legal, and GRC — not just engineers.

A note on honesty: this page describes what the product does today. Where a safeguard or option is not built yet, we say so rather than implying it exists. If anything here is unclear, email demo@lexicanon.com.

Plain-language glossary

Sub-processor
An outside company we pass some of your data to so we can provide the service — for example the speech-to-text service that turns audio into words.
Transcription (speech-to-text)
Turning the recorded audio into written text, and labelling who spoke.
AI model (LLM)
The "large language model" that reads the transcript and writes the summary, decisions and action items.
BYOK — "Bring Your Own Key"
You use your own account with a transcription or AI provider. The data goes to your account under your contract with that provider, not ours.
Self-hosted
You run Lexicanon on your own servers instead of ours, so the storage and most processing stay inside your own infrastructure.
Voiceprint
A set of numbers (a mathematical "fingerprint" of a voice) used to recognise the same speaker across meetings. It is not a recording, and it never leaves your workspace.
Workspace (organisation)
Your company's private area. Data in one workspace is never visible to another.

The three ways Lexicanon can run

How much data leaves your control depends on which setup you choose.

Self-hosted
You run it on your own servers. Audio and storage stay with you. Transcription can run locally on your server. The AI summary step still calls out to an AI provider of your choice (there is no fully-local AI model option today).
BYOK (your own keys)
We host the app, but transcription and AI run on your provider accounts under your contracts. You choose providers and regions; we never hold those keys in the clear.
Full SaaS (managed)
We host everything in Germany and use our own provider accounts. Simplest to start; we hold the contracts with the sub-processors below.

In every mode the steps are the same — only where they run and whose provider account is used changes.

The journey of your data, step by step

  1. 1 · Capture. Your browser or desktop app records the meeting audio. No bot joins the call.
  2. 2 · Transcribe. The audio is turned into text, with a label for who spoke, by a speech-to-text service. In a self-hosted setup this can run on your own server, so the audio never leaves it.
  3. 3 · Live insights. While the meeting runs, the AI model produces a short, rolling summary so you can follow along.
  4. 4 · Write-up (when you stop). The finished transcript is sent to the AI model once more to produce the structured result — the summary, decisions and action items.
  5. 5 · Store. The transcript, the result, and (optionally) the compressed audio are saved inside your workspace. Only members of your workspace can see them.
  6. 6 · Read & export. You open or export the result from the app whenever you need it.

Who else touches your data (sub-processors)

Below is every outside service, grouped by what it does. "Trains on your data?" means: could this provider use your content to improve their own AI? "Where" is where the data is processed. "How to avoid it" shows how you can keep that data out of the service entirely.

Speech-to-text — receives your meeting audio
ServiceWhere it runsTrains on your data?How to avoid it
SpeechmaticsEuropean Union (Ireland)Not publicly stated. Acts as a data processor under GDPR; we rely on their DPA.Use BYOK or a different provider.
Microsoft Azure SpeechEU region (selectable)No. Microsoft does not use it to train its models.BYOK; pick your region.
SonioxEU region availableNo, and stores nothing by default.BYOK.
DeepgramEuropean Union (EU endpoint)No — we switch off their model-improvement program on every request.BYOK.
AssemblyAIEuropean Union (EU endpoint)By default, yes — and we're still completing the opt-out (a manual account-level request). Until that's done, prefer a no-training provider above for sensitive content.BYOK; or use a no-training provider above.
Local transcription (runs on the server hosting Lexicanon)Your own server (self-hosted)No — the audio never leaves your server.This is the avoid-everything option.
AI models — receive your transcript text
ServiceWhere it runsTrains on your data?How to avoid it
Anthropic (Claude)United States (EU contracting entity for EEA customers)No — contractually prohibited from training on what you send via the API.BYOK; or pick another model.
OpenAIUnited States (an EU endpoint exists under additional agreement)No — API data is not used to train its models by default.BYOK; or pick another model.
OpenRouter (a router that forwards to a model you choose)Depends on the model it routes toOpenRouter itself: no by default. The underlying model provider depends on your routing settings.Use a direct provider (Anthropic/OpenAI) instead.
Email and infrastructure
ServiceWhat it doesWhere
HetznerHosts our managed service and stores your data.Germany (EEA)
CloudflareDNS only — it resolves our domain names. It does not sit in front of your traffic or see meeting content.Global DNS
ResendSends account and notification emails (e.g. invitations, alerts). Sees names, email addresses and message text.European Union (Ireland)

Where your data is processed (EU residency)

Honest summary: not every provider is EU-based today.

How your data is protected

The measures below are built into the product today:

Where your data lives and how long

Open items we're being transparent about

Rather than hide them, here are the gaps between what's ideal and what's built today:

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