Capabilities

Input Data

Differentiator

What Makes Us Unique: Safe | Accurate | Helpful

Highest Accuracy while reducing Total Cost of Ownership

3rd Party Data

WHAT
  • Curated large dataset
  • Ad spend by plaintiffs’ attorneys
  • Relevant reported trial outcomes
  • Changes in legal/judicial climate
  • Socio economic data
RELEVANCE

Limited reliance on customer data

Domain AI Layer

WHAT
  • Exhaustive pre-populated ontology of risk signals
  • (~250 signals) ICD-10 & relevant medical analysis
  • Feedback from results on insurance docs
RELEVANCE

Higher accuracy

Proprietary Tech

WHAT
  • Patent pending method
  • Leverages best of breed LLMs and ensemble models
  • Ability to deploy to multiple clouds and potentially customer’s
RELEVANCE

Secure and compliant

Recommender

WHAT
  • Insights are translated to tailored Next Best Action
  • Ability to configure with customer’s practices
  • Safe compliant & transparent recommendations
RELEVANCE

Drives outcomes; Generates data which links actions to outcomes

Curated Data

Judy verdict award data can be used to segment award ranges into risk levels.
The top 20% of the jury awards account for 85% of the total sum awarded to claimants
US Courts rated based upon stratification of jury awards post 1/1/2021 in favor of the plaintiff in liability cases. One component in the evaluation of the risk associated with a specific venue.
Frequency and severity plot of ICD Code related to reported injuries in recent jury trials in liability claims. Example of data supporting the risk rating associated with injury types.