As of 6 Nov 2026, the panel rates Jamie 3.5/5 and Otter.ai 2.5/5 in AI Meeting Assistants & Notetakers. Weighted by what each judge cares about, 6 of the 6 judges pick Jamie and 0 pick Otter.ai. Jamie scores higher on 5 of 7 criteria (European sovereignty, Retention, AI training & administration, Consent, participant rights & works council, plus 2 more). Otter.ai scores higher on 2 of 7 criteria (Recording, transcription & languages and Integrations, API & workflow). Provenance — Jamie: EU-Made; Otter.ai: Rest of world. Ratings are the AI panel’s opinion, formed from public evidence: how scores are made.
The split runs by criterion, not by judge line. Jamie's leads are control-side: consent and codetermination (5.7 vs 2.8), data control and administration (7.3 vs 4.2) and sovereignty (8.0 vs 3.8), each 6 judges leaning Jamie, 0 leaning Otter.ai, 0 ties. Otter.ai's means sit higher on capture and transcription (7.0 vs 6.8) and integrations and workflow (7.2 vs 7.0), 1 judge leaning its way with 5 ties in each. Summaries and knowledge goes 3-1 with 2 ties to Jamie (6.7 vs 6.3); pricing transparency is 6.0 vs 5.8, 1 lean Jamie, 5 ties, scored 5 to 7 in both verdicts. Weighted totals per judge run 6.6 to 7.1 for Jamie and 4.1 to 5.9 for Otter.ai, widest at the works council line, 6.9 vs 4.1. Jamie's sovereignty attributes stand as unknown; Otter.ai's data residency attribute reads non-EU. No overall winner — the criterion split is the answer.
Choose Jamie if
Your works council needs a path to a works agreement — consent and codetermination leans 6 judges to Jamie and 0 to Otter.ai (5.7 vs 2.8), and the verdict records the works council chair unable to recommend a works agreement for Otter.ai.
You need EU-region storage of transcripts and summaries — the Jamie verdict records EU-region storage and a published data processing agreement, the sovereignty criterion leans 6 to 0 for Jamie (8.0 vs 3.8), and Otter.ai's data residency attribute stands as non-EU.
Your admins need data control and administration tooling — the criterion leans 6 to 0 for Jamie, means 7.3 vs 4.2.
Your team ranks summaries and knowledge highly — 3 judges lean Jamie there (6.7 vs 6.3), 1 leans Otter.ai, 2 tie.
Choose Otter.ai if
You need a bot that joins Zoom, Microsoft Teams and Google Meet — capture and transcription is where Otter.ai's mean leads (7.0 vs 6.8), 1 judge leaning its way with 5 ties, a flat 7 in its verdict.
Your meetings run in German among other languages — the Otter.ai verdict lists German among six transcription languages, and the capture and transcription lean (1 judge, 5 ties) goes to Otter.ai.
Your team weighs integrations and workflow most heavily — the mean is 7.2 vs 7.0 with 1 judge leaning Otter.ai and 5 ties.
You are choosing for a US-based team already storing data in the United States — Otter.ai's data residency attribute stands as non-EU, and its verdict records storage on Amazon Web Services in the United States with no European hosting option found.
Read this comparison as one judge. Each weighs the same scores by what they care about.
The Data Protection Officer
Data protection officer of a private bank in Frankfurt that falls under DORA. Has to write the data protection impact assessment before the first recording. Reads the subprocessor list before the feature page, because the language model that reads the transcript is a processor too, and wants its name and region, contractual exclusion from training, retention and deletion by policy, voice profiles explained, and a DPA that matches what the security page claims.
Jamie
This judge's pick
Otter.ai
Criterion by criterion
Recording, transcription & languages
Jamie
Botless capture on the customer's own device across Zoom, Teams, Google Meet and any other platform, in person from laptop or phone, with speaker identification, optional speaker memory across meetings and custom vocabulary per plan is the capture model I prefer to a bot. We found no public information on timestamps tied to the recording, a live transcript during the meeting, mixed-language handling or accuracy per language, and German is not separately named among the 99+ languages.
Otter.ai
A meeting bot joins Zoom, Microsoft Teams and Google Meet with real-time transcription, and botless capture is documented through a desktop app, iOS and Android apps and a Chrome extension; German sits among six transcription languages, custom vocabulary and editable speaker-labelled time codes are published per plan, and dialer calls through Zoom Phone, RingCentral and Salesloft are covered. We found no public information on per-language accuracy, Webex or mixed-language meetings, and the terms expressly make no warranty about the completeness or accuracy of the transcription.
Summaries, action items & meeting knowledge
Jamie
Structured summaries with an executive and a full-by-topic section, custom templates that auto-apply by meeting type and can be shared workspace-wide, action items with assignees pushed to Asana, and search across the archive with an ask-Jamie chat plus ChatGPT, Claude and MCP access. Answers that cite and link the transcript passage they rest on are not documented, the summary language is not documented as selectable, and the language model behind the summaries is not named — only the EU inference platform that runs it.
Otter.ai
Meeting templates by type with plan-based limits, action items with deadlines pushed to Jira or Asana, natural-language search across the archive, AI Chat answering questions over meetings, and export to PDF, Word and SRT are all documented. We found no public information on selecting the summary language with German, on answers that cite the transcript passage they rest on, or on the models used to write the summaries.
Integrations, API & workflow
Jamie
Native CRM integrations across HubSpot, Salesforce, Dynamics 365, Attio, Affinity and DealCloud, export to Notion, OneNote and Google Docs, a documented REST API with rate limits and workspace and personal keys, webhooks, and an MCP server from the Pro plan. We found no public information on Slack or Teams channels, Zapier, Make or n8n, or CRM field mapping per meeting type.
Otter.ai
Calendar connections with automatic joining, four CRMs including Microsoft Dynamics with automatic logging of insights, task tools, Slack, Notion, SharePoint and cloud-storage exports, Zapier and viaSocket, an API with webhooks on the Enterprise plan, and an MCP server make one of the widest documented catalogs I have reviewed. We found no public information on CRM field mapping per meeting type or recording rules per calendar beyond joining all meetings, and the API sits behind the unpriced Enterprise tier.
Consent, participant rights & works council
Jamie
The notice machinery is well documented: a pre-meeting email with selectable timing and domain exclusions, a meeting-chat notice with a default message and enterprise-wide enforcement, and the vendor states plainly that the legal basis and informing participants remain the customer's responsibility as controller. I found no public information on a participant opt-out or a way for a participant to stop the recording; per-person analytics are Enterprise-only and not described with an off-switch, and there is no works-agreement material, no DPIA support beyond a legal whitepaper on request, and no EU AI Act classification.
Otter.ai
The terms make the customer solely responsible for providing any notices to and obtaining consent from recorded individuals, and I found no public information on a participant notice, an opt-out or consent capture before recording starts; sentiment, engagement and coaching analytics are sold as features with no default-off or organisation-level switch described. No works-council material, DPIA support or EU AI Act classification appears on the captured pages, which is the point where my impact assessment would have to begin from scratch.
Retention, AI training & administration
Jamie
The chain lines up the way an impact assessment needs: audio is deleted immediately after transcription and never stored, the data processing agreement contractually excludes model training and explains that voiceprints are created only if the optional speaker memory is activated, and SAML with SCIM, immutable audit logs with CSV export and ISO 27001 are documented. The gaps for my file: custom retention policies are Enterprise-only, zero retention at the transcription and inference providers is not stated, the language model itself remains unnamed, SOC 2 is pending, and certification scope is not published.
Otter.ai
The subprocessor list names every provider with its country and states no storage and no customer-data training for Anthropic and OpenAI, audit logging and SSO with SCIM at a 100-user minimum are documented, and trash-folder deletion leaving no record retained is contractual — but the terms affirm machine learning on user content and training on de-identified audio and transcriptions, with the training opt-out available only by contacting the account manager. No fixed retention period is stated, we found no public information on admin retention policies or discarding audio after transcription, and no ISO 27001 or SOC 2 certification appears; HIPAA is an add-on.
European sovereignty
Jamie
I read the subprocessor list first and it holds: a German contracting entity (HRB 100335, District Court Cologne), EU hosting on named infrastructure (PlanetScale and Google Cloud, EU regions), and a subprocessor list the vendor states is identical to Annex 2 of the published data processing agreement, with transcription (Soniox) and AI inference (Modal) processing in the EU. It stops short of the top level: WorkOS, Loops, Superwall and Clay Labs process in the United States, and the models run on US-owned platforms in Europe rather than with European operators.
Otter.ai
The contracting entity is Otter.ai, Inc. of Delaware; storage runs on Amazon Web Services in the United States and every listed subprocessor — including the language-model providers Anthropic and OpenAI and the cloud providers Crusoe and Google Cloud Platform — is US-based, with Standard Contractual Clauses and Data Privacy Framework certification as the stated safeguards and a GDPR data processing attachment in the terms. We found no public information on EU hosting or a European contracting entity, so the entire chain that reads our meeting content is non-European.
Pricing transparency
Jamie
Four tiers are public with their limits — notes per month, meeting duration, templates and vocabulary terms per plan — plus a 17% annual discount, gross prices including statutory VAT, and minimum terms of one month or one year. Enterprise is priced on request, what counts as a seat is not stated, and no overage or storage pricing is documented.
Otter.ai
The free tier, Pro at $8.33 per user per month and Business at $19.99 per user per month are published with unusually granular per-plan limits for minutes, imports, templates, AI-chat queries, concurrent meetings and workspace size, while Enterprise is unpriced at contact sales or a demo. We found no public information on VAT treatment or a minimum term; annual billing saves up to 51 percent, fees are non-refundable, and SSO with SCIM sits behind a 100-user licence minimum.
Sovereignty, side by side
Dimension
Jamie
Otter.ai
Legal entity
Not determined
Not determined
Hosting location
Not determined
Outside the EU
Hosting options
Not determined
Not determined
Open source
Not determined
Not determined
Data processing agreement
Not determined
Not determined
Transfer impact assessment
Not determined
Not determined
Facts, side by side
Only facts both products carry under the same definition — anything else would not be a fair row.
As of 6 Nov 2026, the panel rates Jamie higher: 3.5/5 against 2.5/5. Weighted by what each judge cares about, 6 of the 6 judges pick Jamie and 0 pick Otter.ai. Which one fits depends on the criteria that matter to you; the table on this page shows both side by side, and each judge’s reading has its own page. Both were scored by the same AI bench under the same rubric, from public evidence only, as the methodology describes.
Is Jamie or Otter.ai European?
Jamie is European (EU-Made). Otter.ai is not European by provenance (Rest of world). Provenance is read from each company’s own legal pages: who builds it and who owns it.
Where do Jamie and Otter.ai store customer data?
Per the vendors’ own pages as captured — Jamie: Default not stated; pages mention the EU, Switzerland and United Kingdom. Otter.ai: Outside the EU by default.
Do Jamie and Otter.ai have a free plan?
As of 6 Nov 2026, both vendors’ own pages state a free plan. Each product page links the pricing page it was read from.