For Barristers
Get an evidence-linked clinical chronology and issue map before deeper legal analysis.
MedCase analyses the records against clinical protocols and surfaces severity-scored, evidence-linked findings so you can move straight to the legal questions in conference, advice, and pleading.
Workflow fit
Where it fits across your instruction.
At conference
Walk into conference with an evidence-linked issue map, not a stack of records to navigate live. Severity-scored findings prioritise the issues worth discussing.
At advice stage
Structured findings with direct quotes, protocol references, and page citations give you a verifiable starting point for advice on breach and causation themes.
At pleading stage
A clear issue map with citations back to the record supports tighter pleadings and more focused expert instructions.
Sample finding
Every finding is grounded.
Severity score, direct evidence quote, protocol reference, page citation. Designed to be verifiable line by line.
View full sample output“[PATIENT] presented with persistent chest pain on three consecutive visits...”
AI limitations & human review
MedCase uses AI to assist in the review of medical records against established clinical standards. The output is an analytical aid for qualified legal and medical professionals. It does not constitute medical advice, a diagnosis, a legal opinion, or a determination of negligence. All outputs should be reviewed and verified by a qualified solicitor and/or medical professional before use in any legal matter.
More on security and AI limitations in the Trust Centre.
FAQ
FAQs for counsel
Who typically instructs MedCase?
What does the output look like in practice?
Can findings be exported for use in pleadings or expert instructions?
Is the output appropriate to put in front of a medical expert?
How does MedCase handle privilege and confidentiality?
Does the output amount to automated decision-making about claimants?
Ready to Transform Your Case Preparation?
Analyse medical records against clinical protocols in minutes and surface evidence-linked findings for qualified review.