Ctrl AI launches clinical negligence capabilities for claimant teams
Claimant teams can build the bundle and chronology of care in-house as records arrive, then test the expert’s report against the records, with a solicitor checking each output.
What we are launching
Ctrl AI today launches its clinical negligence functionality for claimant firms. It covers a claim from the intake form to the point where the solicitor has checked the expert’s report against the records.
Before joining Ctrl AI I spent twelve years acting for claimants in personal injury and clinical negligence cases, and most of what we have built answers problems from my own files: records arriving out of order and duplicated from half a dozen providers, and gaps that came to light when the expert asked where the missing charts were.
In 2025/26 NHS Resolution recorded 15,236 new clinical negligence claims and incidents, up 5.6%. On claims worth up to £25,000, average claimant legal costs reached £30,264, above the highest damages paid on claims in that band. Fixed recoverable costs for those claims, confirmed by the Department of Health and Social Care in 2023, are still not in force, and the Department has promised Parliament its case for change this autumn. A firm that wants to keep taking lower-value claims once fixed costs apply will need a lower cost per case before then.
From the intake form to the bundle
Early triage takes the intake form and produces a structured screen for the solicitor. It sets out the NICE guidelines and Royal College of Nursing standards relevant to the care described and always considers breach and causation together, since a clear breach with no causal link leaves the client with nothing to recover. The solicitor decides whether the case goes forward.
The team uploads the records as they come in. Ctrl AI splits them into documents, sorts them by provider and paginates the bundle to court requirements with a bookmarked, hyperlinked index.
Once the solicitor locks the bundle, later disclosure goes in without renumbering the pages the expert already has, so the page references in a report stay correct.
Chronology, gaps and the expert
From the bundle, Ctrl AI builds a chronology of care: each consultation, test and treatment in date order, linked to the page it came from, handwritten entries included. The fee earner can click through to check any entry against the original, and can ask the bundle a question, such as when a referral was first made, and get an answer cited to the page.
Ctrl AI also flags duplicate records and missing periods, such as an inpatient stay with no drug chart, so the team can request what is missing before instructing an expert.
Pre-expert review uses the chronology to plan the instruction: which disciplines the case needs and which periods of care the questions should cover. Post-expert review sets the expert’s report against the records, so the solicitor can check the facts and page references it relies on before deciding what to put back to the expert.
What changes for a claimant team
The main change is timing. The fee earner reads the case from a sorted bundle and chronology at the start, instead of waiting for an agency to send the records back, so screening decisions come sooner and a firm can decline a case before it has paid for a report. Cases that go forward reach the expert with the gaps already chased and questions aimed at the periods of care that matter. The firm also stops paying for repagination each time late records arrive, a cost that bites hardest on lower-value claims, where legal costs already run ahead of damages.
Supervision changes too. Checking a colleague’s chronology used to mean sitting with the bundle open and turning pages. A supervising partner can now click from any entry to the page behind it and see who verified each output and any amendments they made, because Ctrl AI keeps a record of every check.
Checks, pricing and security
Ctrl AI organises the evidence and surfaces the relevant standards. It does not make clinical judgements, value claims or decide breach or causation. Solicitors and medical experts reach those conclusions, and a named solicitor checks each output before the team uses it.
Pricing is per case and can be recovered as a disbursement. Client data is stored in the UK, Ctrl AI is ISO 27001 certified, and we never use client data to train AI models. The platform runs on its own or alongside a firm’s case management system. Teams can see it work on one of their own closed cases.
