Case studies
Examples below illustrate problem → approach → outcome. We keep language simple and show the kind of story you’d see in our reports—without revealing internal model details.
Example summary (plain language)
Finding
The evidence indicates the condition likely relates to repeated smoke exposure on duty.
Why we think so
- Clinic notes and scans match exposure‑related patterns.
- Duty logs show multi‑year exposure periods.
- Timing of symptoms is consistent with published studies.
Sources we checked
- Firefighter smoke exposure and lung function (2017)
- Health impacts after major wildfire seasons (2020)
- Occupational respiratory guidance for responders (2019)
What happens next
Have a clinician confirm, then gather the exposure log and pathology note to complete the package.
This example shows the tone and structure of our summaries. It is not medical or legal advice.
Law firm: Intake backlog reduction
Problem
5,000+ claimant files, inconsistent triage, months‑long delays to first decision.
Approach
Short, plain‑English summaries showed what mattered in each file with a couple of supporting studies. Reviewers could confirm quickly.
Outcome
Faster first decisions and fewer hours per file—more strong cases moved forward sooner.
Government: Transparent investigation workflow
Problem
Investigations span agencies; PHI handling and audit expectations are high.
Approach
Plain‑language explanations of findings with links to research, ready to brief leaders and the public.
Outcome
Shorter timelines and more confidence to act—less time defending the process, more time helping people.
Permitting & Community: Numeric emissions and HRA integration
Problem
Comment periods stall when numeric emissions and assumptions aren’t clear, and draft‑to‑draft changes aren’t tracked.
Approach
LSARS auto‑extracts numeric and estimated emissions, compares to thresholds, integrates external guidance (EPA, OEHHA, CARB, local districts), and presents a plain‑language summary.
Outcome
Faster pre‑approval clarity, fewer delays during comment, and transparent tracking over time.
Firefighter: Compassionate clarity
Problem
Families face a maze of records and unclear next steps.
Approach
A short summary that says: “Here’s what we found, why it matters, and the next step,” with links to a few trusted studies. No jargon, no math.
Outcome
Faster clarity for care and benefits; less paperwork trauma for families.