Controlled AI for analysing medical expert opinions

An expert opinion can decide the case.
AR3S shows what in it can be credibly challenged.

AR3S breaks the opinion down into individual claims and tests each one separately: is it supported by the records, does the conclusion actually follow from the facts, and which equally defensible interpretations did the expert leave out? The result is a structured challenge map — prioritised and linked to sources.

Fictional case and expert opinion. Explore the analysis and a saved strategy session. No new AI responses are generated.

  • Designed by a practising court-appointed expert
  • Client materials are never used to train models
  • External legal review: AI Act and GDPR
AR3S / 001ANALYTICAL REVIEW
EXPERT OPINION
AR3S
Fact or interpretation01
Strength of inference02
Alternative interpretations03

Lawyers often have only a matter of days to assess an expert opinion and prepare objections. In that time, a specialist medical document has to be assessed.

The weakest points of an expert opinion are rarely obvious mistakes. More often, it is a conclusion that does not quite follow from the facts, or an interpretation with an equally defensible alternative.

These points are easy to miss — and they are the ones that most often ground effective objections. AR3S is built to find them systematically, not just to hunt for errors.

Example: a clinical rule of thumb in place of an individual prognosisDemo material

Expert statement

After twelve months, the treatment result can be considered essentially stabilised and the chance of further material improvement limited.

Why it is contestable

Twelve months is a clinical rule of thumb, not an individual prognostic threshold. Gaps in rehabilitation and unused treatment options may point elsewhere.

Possible move: request the basis for the cut-off and address the claimant’s individual recovery dynamics.

Example prepared for demonstration purposes — not taken from a real case.

Why is ChatGPT not enough?

Your client already has AI. You need better AI.

Clients can already upload an expert opinion to ChatGPT and arrive with a list of objections. That list mixes valid points with weak ones — and often misses important challenge paths altogether.

Which objections are valid?

Which are weak or misleading?

What is still missing?

What actually matters for the case?

AR3S answers these questions claim by claim — so it is clear what the lawyer’s judgement adds — and what the client is paying for.

A map of what can be challenged. Not another list of errors.

General-purpose models keep getting better at spotting obvious mistakes. AR3S goes further: it shows which conclusions can be challenged, where the reasoning is weak and what credible alternatives exist.

01

Claim by claim

The opinion is broken down into individual statements. Each is analysed separately, so nothing gets lost in a long document or in the dominant narrative.

02

Fact or interpretation

AR3S separates what follows from the medical records from the expert’s own inferences — and checks whether each inference is supported by the material.

03

Alternative interpretations

For contested conclusions, the system identifies equally defensible alternatives, with reasoning and an assessment of their strength — even where the expert’s conclusion may still be valid.

04

Priorities

Findings are ranked by strength and relevance to the case, with links to sources. The litigation-strategy module is currently being developed and tested.

CEM.

Controlled, multi-stage AI analysis. AR3S runs the analysis through separated stages, each responsible for a defined part of the assessment. Their outputs are then cross-checked, so the final result can be traced and reviewed.

Product details

03 / Team

Designed by an expert who writes and defends these opinions.

A neurologist and court-appointed expert designs the analytical logic. An engineer with production experience (Opera, an AI MedTech project) builds the system and its infrastructure.

Meet the team

04 / Build log

Building in public while keeping the system architecture confidential.

The build log covers product decisions, practical lessons and problems discovered while building AR3S without disclosing the system architecture.

Read the build log

Pilots · Partnerships · Investment

AR3S does not replace the lawyer.
It gives them the medical analytical backing they rarely have at hand.

AR3S is preparing for pilots with law firms. We welcome conversations with lawyers, legal teams and investors.

contact@ar3s.tech