A self optimising settlement valuation engine
AI that makes personal injury settlement negotiations faster, fairer and data driven.
A legal technology platformProblem statement
What the client was up against
Settlement negotiations were slow, adversarial and subjective. Each side argued from its own anchor, with little agreement on what a case was worth.
Our approach
How we approached it
- Structured valuation into four steps, from damages to outliers
- Used AI for document extraction, scoring and validation
- Let both sides submit scores blindly and at the same time
- Logged every override to improve the model
Solution we created
What we built
An AI valuation engine that scores damages, medical causation, legal strength and outlier conditions, and learns from every attorney override.
Agents in the system
The multi agent team behind it
SourcesCase management system, document store
Extraction agentReads medical and legal documents
Scoring agentProposes scores for each factor
Learning loopImproves from attorney overrides
People decideReview, approve and act
Extraction agentReads medical and legal documents
Scoring agentProposes scores for each factor
Learning loopImproves from attorney overrides
Case management systemdocument store
What it was built to change
The outcome it is designed for
Faster settlements with less dispute over what a case is worth.
This is live work without published results yet. We show the problem and the build, not numbers we have not measured.
Client names, detailed case studies, demos and references can be shared on request.
Looking for a similar solution?
Tell us your version of this problem. We will walk you through what we built and what a first pilot would look like for you.
