Built with injury firms. Designed around how they actually work.
InjuryOS was built by Joshua b. Smith in direct partnership with personal injury law firms, using real-world operational data, workflows, and frontline feedback to create a system grounded in how firms actually acquire, qualify, follow up with, and convert new cases.
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.
Capture
Track source, campaign, creative, call, form, and landing-page path.
Structure
Use AI-assisted intake to organize incident facts, injuries, timeline, jurisdiction, treatment, and missing information.
Prioritize
Surface urgency, case-fit signals, and follow-up status for human review.
Sign
Move qualified opportunities toward consults, signatures, and next steps.
Learn
Push signed, rejected, and incomplete-case data back into the acquisition model.
A data layer for plaintiff-side acquisition.
InjuryOS is designed to capture the operational data most firms lose: source quality, intake completeness, response speed, rejection reasons, follow-up status, consult movement, and signed-case outcomes. That data becomes the foundation for better acquisition decisions, tighter intake operations, and cleaner scaling discipline.
- 01Source
Source Graph
Campaigns, creatives, keywords, calls, forms, pages, and partner sources tracked from first touch.
- 02Intake
Intake Memory
Structured incident facts, injuries, timeline, jurisdiction, treatment status, and missing information.
- 03Review
Human Review Layer
Attorney and intake-team judgment preserved inside the workflow instead of replaced by automation.
- 04Outcome
Outcome Feedback
Signed, rejected, incomplete, and low-quality case outcomes pushed back into the acquisition model.
- 05Intelligence
Operating Intelligence
A clearer view of what to scale, what to fix, and what to stop funding.
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.
One founder. Real firm operations.
Joshua b. Smith builds and operates InjuryOS in direct partnership with personal injury law firms — shaping the product around intake, lead quality, qualification, follow-up, reporting, and conversion.
Joshua is a founder/operator with 25+ years building acquisition, retention, ecommerce, subscription, manufacturing, attribution, and AI-assisted growth systems across six founder-led companies and multiple exits.
He built InjuryOS in direct partnership with personal injury law firms, working alongside their teams to develop and validate the system against real intake workflows, lead-quality decisions, case qualification standards, follow-up sequences, reporting needs, and signed-case outcomes.
At InjuryOS, he is responsible for the entire operating system: connecting demand capture, structured intake, follow-up, attribution, workflow automation, and signed-case feedback into one measurable loop.
Recognized with Inc. Magazine Top CEO honors and an HP packaging innovation award, following a clean-ocean materials exit to UC Irvine.
- 25+ Years Founder/Operator
- Six Founder-Led Companies
- Multiple Exits
- $587M+ Gross Retail Sales Influenced
- AI-Assisted Growth Systems
Built in partnership with active personal injury firms
Every layer of InjuryOS was pressure-tested inside real personal injury practices before it became a product.
Real Firm Workflows
Intake, qualification, routing, and follow-up processes mapped from working injury firms, not assumptions.
Validated Through Live Operations
Developed and refined using real-world operational patterns, lead-quality signals, and case qualification standards.
Operational Feedback Loops
Reporting and conversion logic shaped by direct feedback from the teams who run intake every day.
Partner firms remain fully independent practices. InjuryOS is independently built and operated. Client-identifying information and confidential case details are not used to train shared systems or exposed through the platform.
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.