Meeting context and memory is prior conversation data that an AI notetaker uses to enrich notes or summaries from a later meeting. It may help identify recurring topics or preserve continuity, but it means the output can contain information that was not spoken in the current meeting.
This matters for confidentiality and access control: context from one discussion can travel into a summary shared with a different audience. In real systems, memory may influence what the AI highlights or how it interprets a conversation. Organizations should understand what past data a tool can retrieve, restrict access by meeting and user, set retention and deletion rules, and review summaries before sharing them.