Project context
Woo Redaction Review Assistant
Review assistant for Woo requests that pre-marks sensitive information in government documents, so civil servants start from a suggested redaction layer instead of from zero.
Client identity kept confidential
Evidence
Measured on a representative Woo test set with human review. The workflow proposes redactions and does not make final publication decisions.
The challenge
The solution
Technology stack
The result
On the tested Woo set, the pipeline reached 89% recall on PII entities, 78% precision on proposed redactions, and reviewers reported working about 2.5 times faster than in the manual process.
That matters because Woo work is not just high-volume, it is politically sensitive and operationally draining. The value is not full automation. The value is a faster, more defensible review workflow with the human reviewer still in control.
Next step
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