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Process and redact at volume, without exposure.
Redaction and document review are repetitive, high-stakes, and slow. They are also exactly the work organisations are tempted to push to a cloud AI tool — and exactly the work that should never go there.
The problem
The documents that most need processing are the ones you cannot send away.
Disclosure bundles, clinical records, and FOI responses arrive in volume and on a clock. Manual redaction is slow and error-prone. The obvious shortcut — paste it into a cloud model — moves the entire document, identifiers and all, to a third party.
The risk is not hypothetical. A single bundle can contain privileged correspondence, special category data, and material you are under a duty to protect. Process it on your own infrastructure and that duty is straightforward to meet.
Our solution
A pipeline that proposes, and a person who approves.
Electric Azimuth runs OCR, classification, and redaction on your hardware. The model finds the material that should be masked and presents it for review; a person confirms each decision before anything is finalised. The result is the speed of automation with the accountability of human sign-off — and not one page leaves your network.
Key features
High-volume OCR
Scanned bundles, faxes, and image-only PDFs become machine-readable text on your own servers.
Automated redaction
Names, addresses, identifiers, and other defined categories are detected and masked, with a reviewer in the loop.
Classification
Documents are sorted by type and matter, so the right material reaches the right place.
Reviewer workflow
Every automated redaction is presented for human sign-off. The machine proposes; a person decides.
Full audit trail
Each document, edit, and approval is logged. The record supports disclosure and inspection.
Format fidelity
Output preserves the original layout, so a redacted bundle still reads as the document it was.
Use cases
Where it earns its place.
Redact disclosure bundles and process discovery at volume without privileged content passing through an external service.
Prepare records for subject access requests with patient identifiers handled inside the trust.
Process freedom-of-information responses, redacting exempt material under your own governance and timelines.
Classify and redact account documentation for regulatory requests while keeping client data inside the firm.
Technical overview
Specifics for the people who will run it.
- Input formats
- PDF, TIFF, JPEG, PNG, and common scanner outputs; native Office files.
- Redaction categories
- Configurable: personal data, identifiers, privileged passages, and custom patterns.
- Deployment
- Rack-mounted server or cluster sized to your document throughput.
- Throughput
- Thousands of pages per hour on a single node; scales with hardware.
- Output
- Redacted PDF with preserved layout, plus a structured log of every change.
- Connectivity
- None required. The pipeline runs entirely within your boundary.
Measure it on your own backlog.
A scoped pilot runs a defined set of documents through the pipeline and reports on accuracy and time saved against your current process.