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SAR-2026-0417/Overview

SAR-2026-0417

Subject access request: employment records

In reviewDue 2 Sep 2026, 11 days left
Items collected
8,868
People resolved
23
Findings
1,428
Need judgement
48

Needs attention

48 items
  • Grievance meeting notes

    88%

    Priya Shah, third-party opinion

    Suggested redaction
  • Supplier payments FY21.xlsx

    54%

    D. Okafor (invoices), identity match

    Awaiting judgement
  • Emergency contact form

    89%

    Aisha Okafor, contact details

    Third-party check
The case overview for a sample SAR. All data is synthetic.

What Redactics changes

  • Scale requests, not headcount.

    More SARs should not mean more people, more overtime or more contractors. Redactics does the reading, sorting and matching, so the team you have can absorb the volume.

    Unlimited reviewers on every plan.

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  • Stay ahead of the clock.

    Every case shows its due date, the days left, how much review remains and what is still outstanding. Nobody has to ask where a request stands.

    Due 2 Sep 202611 days left71% reviewed48 items unresolved

  • Catch what should not leave.

    Potential third-party information, sensitive data and possible exemptions are flagged before anything is disclosed. A reviewer makes each call.

    2 high risk 2 to check 1 decision required

Less searching. More deciding.

Skilled people should not spend their day reading irrelevant files and checking the same information twice. Redactics does that work first, so reviewers start with the items that need judgement.

Manual

8 stages, all by hand

Search, open, read, sort, check for duplicates, identify the person, identify third parties, then review.

With Redactics

7 automated, 3 decisions

Searching, opening, reading, sorting, duplicate checks and identifying people and third parties happen before the reviewer starts.

  1. ReviewThe flagged items, with the source attached.
  2. DecideDisclose, redact or withhold, and record why.
  3. ApproveSign off the response for release.
See how it works

Every finding has somewhere to point.

Open any finding and follow it back: the email, document, page and paragraph it came from, the person it is about, and who decided it, when and why.

Findings/F-0912

Finding F-0912

Disclosed

What was found

Person
Daniel Okafor, data subject5 identifiers linked across 611 sources
PII category
Health, special category
Confidence
94%

Where it came from

Source
Email "RE: Return to work meeting" from Priya Shah
Document
OH-assessment-DO-Mar24.pdf
Page
2
Paragraph
3, characters 412 to 471

What was decided

Decision
Disclose
Reviewer
A. Whitlock
Timestamp
21 Aug 2026, 14:36
Reason
Special category data about the requester. The paragraph contains no other person's data. Disclose in full.

OH-assessment-DO-Mar24.pdf, page 2

Open original

OCCUPATIONAL HEALTH ASSESSMENT, CONFIDENTIAL

3Following the period of absence, the assessment recommends a phased return over four weeks with adjusted duties and a review with his line manager at the end of the period.

Attached to "RE: Return to work meeting", 14 Mar 2024, 09:12

Audit trail

Export
  1. 21 Aug 14:36Decision recorded: Disclose, A. Whitlock
  2. 21 Aug 14:31Source evidence opened, A. Whitlock
  3. 20 Aug 11:15Transcription verified, R. Mensah
  4. 19 Aug 09:04Person resolution complete, Redactics
A finding in the sample case: special category data about the requester, disclosed with its source, reviewer and reason. All data is synthetic.
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Built for sensitive data.

Hosted on Microsoft Azure in the UK or EU, with the access, audit and retention controls your DPO and security team will ask about first.

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Runs entirely on Microsoft Azure.
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Choose a UK or EU region. Data stays in it.
Human-controlled disclosure
Nothing is released without a named approver.
Role-based access
Case-level permissions and single sign-on.
Audit logging
Every view, decision and export recorded.
Retention controls
Retention periods per case type, set by you.

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