ALLDOQ
ALLDOQ/Verify

AI medical record review, cited to the page.

The reading gets faster. The judgement stays yours.

ALLDOQ Verify reads a multi-thousand-page medico-legal bundle and returns an indexed chronology, typed fact tables and plain-language answers, with the source page attached to every fact so the expert can open it and check it in seconds.

Built for
UK medico-legal review
Every answer
Cited to its source page
Deployment
Self-hosted, single tenant

What it is

Fast, thorough reading. Nothing more, on purpose.

AI medical record review uses language models to read the whole record, GP records, hospital notes, imaging reports, prescriptions and correspondence, and turn it into a structured, checkable account of the patient's history. The reading that takes days by hand comes back organised in hours.

Around 80% of an electronic medical record is unstructured text, much of it scanned and some of it handwritten. That is why review is the bottleneck of every instruction, and why it is the part worth automating. Interpretation is a different matter: whether a standard of care was breached or an injury was caused is clinical judgement, and it stays with the expert. The tool's job is to hand over an organised, sourced record so that judgement can start sooner.

Capabilities

Four things, done properly.

Each capability exists to shorten the distance between a question and the page that answers it.

01

Data extraction and indexing

Typed facts, including diagnoses, medications, procedures and admission dates, pulled from every page into structured tables you can sort, filter and export.

02

Chronology building

A dated sequence of events assembled from the whole record, each entry anchored to the document and page it came from, ready to feed a report.

03

Automated summarisation

An overview of the bundle the expert can orient by before reading in depth, with the gaps and duplicates flagged rather than papered over.

04

Source-page verification

Every extracted fact and every answer carries its citation. Open the page, confirm the fact, rely on it. An answer the record does not support says so.

8

clinical fact types extracted into typed tables

3

tier reading: text layer, then page image, then vision model

100%

of answers carry a source page citation

In practice

Ask the record a question.

Questions are asked in plain language and answered across the entire bundle, with the citation attached.

“Was the patient ever prescribed an anticoagulant before the index event?”
Yes. Warfarin appears in the GP repeat prescription list from March 2019, stopped in October 2021 after a medication review.
GP records, p. 214Medication review letter, p. 902

Who it is for

Expert witnesses. The bundle arrives read, indexed and dated, so the time goes into the opinion rather than the logistics. The Part 35 duty is untouched: the expert checks the cited pages and owns every conclusion.

Instructing solicitors. A sourced chronology early in the instruction shows where the case is strong, where the records have gaps, and what to request before the expert starts.

Medical reporting organisations. Consistent, auditable preparation across a volume caseload, on infrastructure you control, with every step logged.

Common questions

Is AI medical record review accurate?

Accuracy is designed in through verification rather than assumed. Each page is read in tiers, starting with the text layer, falling back to the page image, then to a vision model for scans and handwriting, and every fact is checked against its source before it is presented. Because each answer carries its source page, the expert can confirm any fact in seconds, and an answer the record does not support says so instead of guessing. Manual extraction from clinical text is labour-intensive and error-prone too, which is why the checkable citation, on either method, is what matters.

Who is responsible for the opinion?

The expert, without qualification. AI changes how quickly the records are read and organised. It does not move the duty to the court under CPR Part 35, and it does not author conclusions. A report remains the expert's reasoning on facts they have satisfied themselves are accurate.

Is patient data safe?

Medical records are special category data and are treated that way. Patient identifiers are encrypted, the system runs on infrastructure your organisation controls rather than posting bundles to an external service, access is limited to invited and authenticated users, and every step is recorded for audit. See security and compliance for the full picture.

How long does a review take?

A bundle of several thousand pages that takes days to read by hand is typically indexed in hours. The expert's reading of the cited pages still takes the time it takes; what disappears is the unassisted first pass through the whole record.

Related

ALLDOQ Verify

See your own bundle read, indexed and cited.

A short walkthrough on a real, anonymised bundle, showing the chronology, the fact tables and the citations behind them.

Book a walkthrough