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Complex documents,
read properly the first time.

Handwritten statements, 200 pages, six agreements in one PDF (three irrelevant). Document Intelligence reads scanned files OCR misses, extracts data with 99%+ accuracy, and links each extraction to its page for easy review.

What firms running Claim Inbox are seeing

Documents processed
Longest medical record
Faster per document
The cases associated with a vehicle registration, each with its case and customer numbersA 200-page scanned DSAR letter open in Claim Inbox, its agreement number being readA DSAR workflow listing every agreement found in the document, each ticked as checked

The documents that break ordinary OCR.

The files a group action actually runs on, not clean, templated PDFs, but the real thing.

  • DSARs & finance agreements

    Multi‑agreement bundles from lenders: several agreements in one scanned PDF, each pulled out and matched to a case.
  • Medical & GP records

    GP records from 94 to 2,200+ pages, handwritten drug lists and all, read for the details that matter to the claim.
  • MOD & service records

    Service and medical records, often decades old and handwritten, read for the qualifying facts, with the page noted.
  • Audiograms & reports

    Audiograms, surveyor reports, third‑party letters: classified, extracted and filed against the right case.
  • Handwritten & scanned

    Image‑based and handwritten pages that traditional OCR misses entirely: read, not skipped.
  • Two hundred pages

    Long bundles where the relevant fact is on page 137: found, extracted and anchored so a person can verify it fast.

Read, extract, anchor;
then a person checks it.

  1. Ingest

    Every document arrives from the inbox, a portal or the case file, whatever format, whatever length.

  2. Read

    Scanned, image‑based and handwritten pages are read where ordinary OCR gives up.

  3. Extract

    The fields that matter are pulled into structured data at 99%+ accuracy in production.

  4. Anchor & check

    Every extraction is linked to its source page, so a fee earner verifies it in one click before it’s used.

  • Read: A 200‑page scanned bundle, ingested whole.
  • Check: Each field anchored to its page, confirmed in one click.
A 200-page scanned DSAR letter open in Claim Inbox, its agreement number being readAgreement fields extracted from the DSAR, each linked to its page, awaiting confirmation

One capability, every kind of document.

  • Agreements extracted from scanned DSAR bundles, several to a file, each pulled out and matched to the right case on registration and agreement number.

  • A hearing-loss record beside the profile of a claimant, for an industrial deafness claim

    GP and MOD records read for ototoxic medication, audiograms and qualifying facts: a review that takes a paralegal one to two hours, done in minutes.

  • An injury claim file with its legal and evidence markers and a flagged issue

    Medical reports, surveyor bundles and third‑party letters classified and extracted: the evidence gathered before anyone opens the file.

Automate your book
with Saber.

Send us one workflow you run today: a DSAR, a batch of lender mail, a round of client updates. By the end of the week we’ll show it read, actioned and ready for a paralegal to approve, on your data. No fee, no commitment.

Book a demo

Extraction you can defend

Every figure is anchored to its source page and a person approves it; nothing enters the case unchecked. Full audit trail, ISO 27001 and ISO 42001 certified, UK‑only data residency, never used to train our models.

UK Startup of the Year 2026