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 Sales Team Lead
Leads eight account executives at a software vendor for the German Mittelstand. Discovery calls run on Teams and Zoom, and the CRM is only as good as the notes someone found time to type. Does not want a coaching platform that scores the team: wants the call summary, next steps and the fields that matter written into HubSpot after every call, a follow-up email draft, and prospects told politely that the call is recorded.
Jamie
This judge's pick
Otter.ai
Criterion by criterion
Recording, transcription & languages
Jamie
Botless capture on Mac, Windows and iPhone covers Zoom, Teams, Google Meet and any other platform, plus in-person meetings, with a word-for-word transcript organized by speaker, speaker names remembered across meetings and custom vocabulary up to 250 terms. Transcription runs through a named speech-recognition provider with customer data kept in the EU. We found no public information on timestamps tied to the recording, live transcription, phone or Webex capture, file upload or accuracy per language, and German is not named individually beyond the 99+ languages claim.
Otter.ai
The bot covers Zoom, Teams and Google Meet, and the desktop and mobile apps record in-person meetings with no bot in the room; German is among six supported languages and the transcript is editable with speakers and time codes. Phone and dialer capture is there through Zoom Phone and RingCentral, but we found no public information on Webex, mixed-language meetings, or accuracy per language — the terms instead disclaim any warranty on transcription completeness or accuracy. A strong daily driver for my eight reps, just not the last word on accuracy.
Summaries, action items & meeting knowledge
Jamie
Summaries come as an executive summary plus a topic-structured full summary, templates can be built per meeting type and auto-applied by classification, and action items carry assignees and sync to Asana automatically — while workflows extend this to updating the CRM and drafting follow-ups, which is exactly the loop I want closed after every discovery call. Search across all meetings and asking questions over them are documented. We found no public information on answers citing the transcript passage they rest on, on the summary models being named, on choosing the summary language, or on decisions being extracted separately from tasks.
Otter.ai
Automated summaries, standard and advanced templates plus custom ones with per-plan limits, and follow-up automation that drafts the follow-up email and next steps — exactly what I want produced after every call. Action items go into Jira and Asana with deadlines, search runs across meetings with natural-language queries, there is an AI chat over the archive, an MCP server, and export to Word, PDF and more. We found no public information on answers citing the exact transcript passage they rest on.
Integrations, API & workflow
Jamie
HubSpot, Salesforce, Dynamics 365, Attio, Affinity and DealCloud are native CRM destinations, Asana takes the tasks, Notion, OneNote and Google Docs take the minutes, and auto-sync sends every new meeting without anyone remembering to. A documented REST API with webhooks, rate limits, a request builder and an MCP server for Claude, ChatGPT and Cursor is available from the Pro plan. We found no public information on Slack or Teams channel delivery, Zapier, Make or n8n, SharePoint or Confluence export, or per-meeting-type CRM field mapping.
Otter.ai
HubSpot, Salesforce, Microsoft Dynamics and Zoho are all covered with transcripts and sales insights pushed to the CRM, calendars connect with auto-join, and Slack, Teams, Notion, SharePoint, Zapier and an API with webhooks are documented, with the MCP server named on the pricing page. We found no public information on per-meeting-type CRM field mapping or recording rules per calendar, or on the API's reference documentation. The HubSpot flow is the headline for my team; the rest is breadth I would only partly use.
Consent, participant rights & works council
Jamie
The pre-meeting email notice with timing windows, attendee and domain exclusions, and a meeting-chat notice that Jamie posts itself once per recording are exactly how prospects should be told, and on the Enterprise plan an admin can enforce both for everyone. The chat notice ships off by default and in beta, and the vendor places responsibility for informing participants on the customer. We found no public information on a participant opt-out or a guest's way to stop a recording, on switching off the Enterprise user analytics, or on works-council material, DPIA support or an AI Act classification.
Otter.ai
The terms put the notice and consent duty squarely on the customer — you are solely responsible for providing notices and obtaining consent from individuals in connection with recordings — and we found no public information on participant opt-out, a guest-facing notice, or the botless-capture notice method. Sentiment, engagement and coaching analytics are marketed for sales teams, and we found no public information on whether they sit off by default or can be switched off; that coaching angle is exactly what I do not want aimed at my people. We found no public information on works-council material, a works-agreement template, DPIA support or an EU AI Act classification.
Retention, AI training & administration
Jamie
Meeting audio is streamed for transcription and never stored, no plan trains models on customer content, and the immutable audit log reaches down to API keys, share links and sign-ins with a CSV export of the whole workspace. Workspaces with roles, verified domains, admin permission control, encryption in transit and at rest, and ISO 27001 on every plan give me most of what I need to govern. Custom retention policies, SCIM, SAML and the audit log itself are Enterprise-only, and we found no public information on legal hold or the published scope of the certifications.
Otter.ai
Admins get central policy, workspace and sharing controls, SSO and SCIM from a 100-user licence, audit logging and bulk export, and deleted content moves through a trash folder into permanent deletion. But the privacy policy states the service trains its own AI on de-identified recordings and transcripts, with an organizational opt-out only via the account manager, and we found no public information on configurable retention periods, discarding audio after transcription, or ISO 27001 or SOC 2 certification.
European sovereignty
Jamie
Everything is documented on the vendor's own legal pages: a German contracting entity registered at the Cologne district court, transcripts stored in an EU-region PlanetScale database on Google Cloud EU infrastructure, and a published data processing agreement plus subprocessor list that places speech recognition and AI inference in the EU. Meeting content stays in the EEA, Switzerland and the UK, and the US-based subprocessors on the list are identity, marketing and paywall services rather than meeting-content processors. The models run in Europe but for American operators, and certifications are stated without published scope, so this stops short of sovereign end to end.
Otter.ai
The chain runs through the United States: the contracting entity is Otter.ai, Inc. of Mountain View, California, hosting sits with Amazon Web Services in the US, and every subprocessor on the published list — including Anthropic and OpenAI for AI functions, both listed with no storage and no training of customer data — is US-based. A GDPR data processing agreement and Standard Contractual Clauses are published and the vendor is certified under the EU-US Data Privacy Framework, but we found no public information on any EU hosting option. For my German prospects that is a conversation to have before the rollout, not after.
Pricing transparency
Jamie
Tiers are public with their inclusions — a free plan at €0 /mo with 10 AI notes per month and a 30-minute cap, a paid plan at €39 /mo billed annually with unlimited AI notes, Team at €33 /seat/mo billed annually, and Enterprise priced on request — plus gross VAT-inclusive prices, a one-year minimum on annual billing and a 17% yearly discount. What counts as a seat, storage limits and overage handling are not stated, and SSO, SCIM, audit logs and custom retention all sit in the unpriced Enterprise tier, so the real annual cost for my nine-person setup is not computable from the public pages.
Otter.ai
Per-seat prices are public — Basic free, Pro at $8.33 /user/month save 51%, Business at $19.99 /user/month save 33%, with monthly and annual billing — and the plan tables are unusually granular about minutes, import limits, concurrent meetings and AI chat queries. Enterprise is contact-sales only, the HIPAA add-on and live transcription via RTMP carry unpriced additional fees, VAT treatment is not stated, and the captured pages give different figures for the Business plan's monthly transcription minutes — 6,000 on one page, unlimited on another. I could roughly budget a nine-person team but not nail the annual invoice to the euro.
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.