Every legal tech platform optimizes for outcomes. None of them know if a recommendation puts someone in danger. Safety Shield makes physical safety a constraint that the optimizer cannot ignore.
Decision systems optimize financial outcomes. Safety tools produce static checklists. Nobody connected them. The result: strategies that are legally optimal but physically dangerous.
The gap between a safety checklist and a safety constraint is the difference between hoping someone is protected and ensuring the system cannot recommend otherwise.
Standard risk scoring was designed for system failures. Physical safety requires different dimensions. S-ARPN adapts engineering failure analysis for protecting people.
| Tier | S-ARPN Range | Required Response | Timeline |
|---|---|---|---|
| IMMEDIATE | > 3,000 | Call 911. Leave location. Activate emergency contacts. | Minutes |
| CRITICAL | 1,500 – 3,000 | File law enforcement report within 24 hours. Activate protective measures. | Hours |
| HIGH | 500 – 1,500 | Protective measures review. Update documentation. Vary routine. | Days |
| MODERATE | 100 – 500 | Maintain awareness. Monitor for escalation indicators. | Weeks |
| LOW | < 100 | Monitor and log observations. | Ongoing |
Threats escalate in predictable patterns. The value of the ladder is not just knowing position. It is tracking velocity. Six levels in three weeks is a different risk profile than level 2 for six months.
No consumer safety tool detects cross-domain coordination. Law enforcement sees isolated incidents in separate departments. Safety Shield sees the pattern.
Safety Shield sits across all strategic decisions as a cross-cutting constraint layer. The optimizer cannot recommend a move without Safety Shield scoring its safety impact.
This compartmentalization means: even if the optimizer output is disclosed, the safety assessment stays protected. The disclosure shows the penalty exists. It does not show why.
Every protective measure has a quantified impact on the S-ARPN score. The register tracks status and recommends measures that would move the score below the next tier threshold.
| ID | Measure | Reduces | Cost | Status |
|---|---|---|---|---|
| PM-001 | Law enforcement report filed | P (−1) | $0 | DONE |
| PM-002 | Attorney awareness briefing | V (−1) | $0 | DONE |
| PM-003 | Security cameras installed | V (−2), D (−1) | $200 | DONE |
| PM-004 | Trusted person check-in protocol | V (−1) | $0 | ACTIVE |
| PM-005 | Varying routine | V (−2) | $0 | ACTIVE |
| PM-006 | Neighbor network awareness | P (−0.5), V (−1) | $0 | PENDING |
| PM-007 | Legal protective order | P (−2), V (−1) | $3,000 | PENDING |
When S-ARPN tier changes, the register automatically recommends measures that would reduce the score below the threshold. Safety becomes measurable and reducible through specific actions.
Any system that recommends actions needs to understand whether those actions increase physical risk.
The S-ARPN scoring methodology is open source. pip install safety-shield · GitHub · PyPI
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S-ARPN Scoring Methodology and Safety Shield Architecture © 2026 Colin McNamara / Acquit.ai. Licensed under Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0). Attribution required for academic and professional use. Commercial licensing: colin@acquit.ai