The operating system for signed-case acquisition.
InjuryOS is AI-native infrastructure for plaintiff injury firms, connecting demand capture, intake, attribution, follow-up, and signed-case feedback into one measurable acquisition loop.
Initial pilot access is limited to select injury firms, case acquisition partners, and operating teams.
Source Quality
TrackingIntake Speed
Live IntakeQualified Leads
Case ReviewSigned Cases
Feedback LoopCost per Signed Case
Attribution enabled
Follow-Up Status
Monitoring leakage
Demand Intelligence
Track source, campaign, creative, call, form, and landing-page performance from the first touch.
AI-Assisted Intake
Structure incident facts, injuries, timeline, jurisdiction, treatment status, and missing information for human review.
Signed-Case Feedback
Connect accepted, rejected, incomplete, and signed-case outcomes back to the acquisition engine.
Most acquisition systems stop too early.
Injury firms do not need more disconnected lead activity. They need source-to-signed-case visibility, with intake quality, speed-to-lead, rejection reasons, follow-up status, and case outcomes tied back to the original demand path.
- Ad Source
- Intake
- Review
- Signed Case
- Feedback
Built around the signed-case loop.
InjuryOS makes the acquisition process measurable from first touch to signed case. Demand enters the system, intake structures the facts, human review adds judgment, follow-up reduces leakage, and outcome data improves the next campaign, message, and intake path.
- 01
Capture
Track source, campaign, creative, call, form, and landing-page path.
- 02
Structure
Use AI-assisted intake to organize incident facts, injuries, timeline, jurisdiction, treatment, and missing information.
- 03
Prioritize
Surface urgency, case-fit signals, and follow-up status for human review.
- 04
Sign
Move qualified opportunities toward consults, signatures, and next steps.
- 05
Learn
Push signed, rejected, and incomplete-case data back into the acquisition model.
Built for the operators behind modern injury firms.
InjuryOS is being built for teams that care about signed-case economics, intake discipline, speed-to-lead, source quality, and operating visibility across the acquisition process.
Plaintiff Injury Firms
For firms that want clearer visibility from demand to signed case.
High-Volume Intake Teams
For teams managing fast response, qualification, routing, and follow-up.
Growth and Acquisition Operators
For teams responsible for paid media, source quality, and case economics.
Case Acquisition Partners
For operators building scalable acquisition systems with better data feedback.
Built by a founder/operator who understands acquisition systems.
InjuryOS is being built from operating pattern recognition across acquisition, retention, subscription commerce, ecommerce, manufacturing, attribution, and AI-assisted growth analysis.
Joshua Smith
Founder & Systems Architect
Joshua is a founder/operator with 25+ years building acquisition, retention, subscription, ecommerce, manufacturing, and AI-assisted growth systems across six founder-led companies and multiple exits.
InjuryOS applies that pattern recognition to plaintiff injury acquisition by connecting demand, intake, follow-up, attribution, and signed-case feedback into one learning system.
- 25+ Years Founder/Operator
- Six Founder-Led Companies
- Multiple Exits
- $587M+ Gross Retail Sales Influenced
- AI-Assisted Growth Systems
AI support with human legal review.
InjuryOS supports intake, summarization, routing, follow-up, reporting, and acquisition learning. Attorney judgment remains with the firm. InjuryOS does not provide legal advice, determine representation, or replace legal review.
Private beta access for select injury operators.
The first version of InjuryOS is focused on proving one thing clearly: whether qualified signed cases can be acquired, tracked, and scaled with better intake data, cleaner attribution, and faster feedback.
Pilot access is limited while the initial operating system is being built.