Glean describes itself as the work AI platform that connects to everything your company uses — Slack, Confluence, Google Drive, Jira, Salesforce — and makes all of it searchable through one interface. For teams using Glean, it becomes the single place where your company's collective knowledge lives and stays findable.

The problem most teams run into is that meetings aren't in there by default. Decisions get made, context gets established, work gets assigned, and none of it surfaces when someone searches Glean later.

That's the gap the Fellow and Glean integration closes.

When Fellow connects to Glean, your meeting notes, summaries, and transcripts get indexed alongside the rest of your company's knowledge. So when someone searches Glean for context on a project, a client, or a decision, the relevant meeting content comes up in results — not just the document someone wrote after the meeting, but the actual meeting record.

What is the Fellow + Glean integration built for?

Glean positions itself around a few core enterprise problems: institutional memory, employee onboarding speed, and cross-functional knowledge sharing. Their tool helps reduce time spent searching for information and making company knowledge accessible regardless of where it was originally created.

Meeting content is a natural fit for all three. The Fellow integration means that when someone searches Glean for context on an ongoing project, the meeting history is in the results alongside the docs and the tickets.

How the integration works

The integration runs through Glean's connector framework, which is how Glean ingests content from third-party tools generally. Fellow meeting notes get pushed into Glean's index on a regular sync schedule, so results stay current without any manual export involved. Permissions carry over, so people only see meeting content they'd already have access to in Fellow.

If your organization is already using Glean and running into the problem Glean itself describes — knowledge scattered across tools, hard to find when you need it — adding meeting content to the index is a straightforward extension of what you're already doing. Drop a comment if you want specifics on how the connector is configured or what content types get indexed.