Settlement Intelligence generates AI-powered demand letters optimized for insurance claim evaluation software (Colossus, ClaimIQ, Liability Navigator). Founded by Dr. Aaron DeShaw (retired doctor turned trial lawyer who spent 3 years reverse-engineering Colossus from original Australian programming notes) and Charlette Sinclair (leading demand letter consultant). Patent-pending AI achieves 97% accuracy. Letters provide insurance adjustors the specific claim factors they need, in the order required by claims software, to trigger maximum settlement values. Also provides AI Medical Timelines via patented Plato AI technology. Founded 2020 in US. ~135 LinkedIn followers. $50/mo effective search volume. 7 employees.
Company Info
- Founded: 2020
- Team size: 1-10 employees
- HQ: United States
- Sector: Case Management
What We Haven’t Verified
This page was assembled from publicly available information. Feature claims and workflow mappings are based on what the vendor and third-party listings publish — not hands-on testing or practitioner feedback.
Workflows
Based on practitioner evidence, Settlement Intelligence is used in these workflows:
What practitioners struggle with
Real frustrations from legal professionals — the problems Settlement Intelligence addresses (or should address). Sourced from practitioner reviews, Reddit threads, and case studies.
Demand letter drafting takes 3-6 hours per case because the attorney manually weaves medical records, liability facts, and damage calculations into a persuasive narrative — multiplied across 50+ active PI cases
Plaintiff lawyer is about to send a demand letter or walk into mediation with a case that could be worth far more than the insurer's first offer, but they're still guessing which facts, videos, and witness moments actually make jurors or mediators care — traditional focus groups take too long, cost too much, and one loud participant can distort the whole read on case value.
Where it fits in your workflow
Before Settlement Intelligence
PI attorney settles case → needs to send demand letter to insurance adjuster → traditionally writes narrative-style demand that adjusters set aside → adjuster enters data into Colossus/ClaimIQ/Liability Navigator which calculates settlement offer
After Settlement Intelligence
Medical records and case facts input → Settlement Intelligence AI generates demand letter formatted for the specific insurer's claims software → letter provides data points in the order the software needs them → adjuster enters data → higher settlement offer calculated
Integrations & hand-offs
Settlement Intelligence (demand letter generation) → insurance adjuster (Colossus/ClaimIQ/Liability Navigator data entry); → PI attorney (negotiation with data-backed demand); → insurance carrier (settlement payment)
Also used by similar teams
Community Data
Loading practitioner-sourced data…