DSAR and FOI work isn’t “search and export.” It’s scope, risk, exemptions, redaction, and defensibility — across scattered sources.
Due dates matter. Your process needs to be visible, repeatable, and auditable.
Email, Teams/Slack, SharePoint/OneDrive, archives — request scope rarely sits in one place.
Over-disclose third-party data or under-disclose the requester’s data — both are painful and avoidable.
Simply Discover runs an “aboutness” pipeline, writes scope and evidence into the case, then gives reviewers fast tools to redaction-review, override, and export.
Case items come back with in-scope / out-of-scope flags plus rationale and evidence. Reviewers can override scope and record a reason.
Highlight-driven redaction supports global (case-wide), document-wide, and instance-specific changes — designed for high-volume review.
The Document Extraction tab lists personal data items, supports approval workflows, and shows exactly where data appears in context.
DSAR case creation triggers an auto query (“Determine which emails are ABOUT the data subject”) queued into the processing pipeline.
Result: in-scope/out-of-scope classification is written back to the case items with rationale and evidence.
When the AI is wrong (or the context changes), reviewers override scope and capture a reason — the system keeps the trail.
Review DSAR case items (email/doc/chat) with done/pending toggles, scope banners, and evidence. Export per item or as a full pack.
Case-wide and case-item highlights support AI vs user sources and allow instance overrides. Highlights “consume” smaller matches when needed.
CRUD personal data items, approve/reject status, and view occurrences in the original context with a split-pane viewer.
Create exports for a single case item or the full case. Packs include cover page + table of contents, and redaction priority is consistent.
Case type 4 with data subject details. Due date, sources, and metadata live in the case dashboard.
Server queues the DSAR aboutness query. Pipeline writes scope classification and entity highlights back to the DB.
Scope filters + mailbox filters, evidence banners, highlight editor, and global rules speed up consistent redaction.
Review extracted personal data items and occurrences. Approve/reject with an auditable workflow.
Export redacted PDFs per item or full case. Background processing + poll + download is built in.
Confirm once. Apply everywhere. Global highlights let you reuse decisions across the case, while instance overrides handle the edge cases that matter.
Privacy and governance teams handling DSAR/FOI at volume across M365, chat, documents, and archives — where defensibility and speed matter.
Lightweight “one mailbox only” DSAR handling where a spreadsheet and manual PDF export is considered acceptable.
Straight answers based on how the DSAR module actually works.
It’s the pipeline step that classifies whether an item is ABOUT the data subject. DSAR cases auto-create a query and queue it to processing. Results write in-scope/out-of-scope flags plus rationale and evidence.
Yes. Reviewers can override scope classification and store the reason. The UI surfaces the scope banner with rationale and evidence, then records overrides defensibly.
Redaction is highlight-driven with multiple scopes: instance, document/case item, and global (case). Priority rules ensure consistent outputs: AI detection-wide < case highlight < user detection-wide < user instance-specific.
Yes. You can export a single item or “Export All as PDF” for the full case. Export processing runs in the background and provides download links once complete.
Yes. The Document Extraction tab lists personal data items, supports approve/reject actions, and shows occurrences in email/document context.
Yes. Simply Discover is designed for customer-hosted deployments inside your Azure environment so data stays under your control.
See the DSAR dashboard, scope evidence, redaction, and export flow in a short walkthrough.