Resource
Three-Scenario Exposure Template
Carrier-Ready Reporting Format
Why three scenarios.
A single exposure number is either too high (plaintiff's demand) or too low (defense minimization). Neither is useful for settlement authority, mediation preparation, or client counseling. The three-scenario model presents the full range: what the plaintiff claims, what the data supports, and what the defense can achieve with all available tools. The realistic middle scenario — driven by actual violation rates from time records and payroll data — is the number that drives informed decision-making.
The audience.
This template serves three audiences: the carrier (who needs a defensible authority range), the client (who needs to understand the risk), and the mediator (who needs to evaluate the reasonableness of the parties' positions). Each audience reads the same three numbers but uses them differently. The carrier uses Scenario 2 for reserve setting. The client uses the gap between Scenarios 1 and 3 to understand the value of defense strategy. The mediator uses the methodology's rigor to assess credibility.
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Template Structure
The exposure model is organized by violation category. Each category receives its own three-scenario analysis. The per-category totals are then aggregated into a case-level summary.
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Scenario 1 — Plaintiff Maximum
This scenario uses the plaintiff's methodology and assumptions. It represents the upper bound of exposure — the number the plaintiff will use in the demand letter and at mediation.
The 100% assumption.
Plaintiff's counsel almost always assumes a 100% violation rate — every employee, every pay period. This assumption is nearly always inflated. The actual violation rate, derived from time records and payroll data, is typically 15–40%. The gap between 100% and the actual rate is the most consequential variable in the exposure model.
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Scenario 2 — Data-Driven Realistic
This scenario uses actual violation rates derived from the employer's own records. It is the most labor-intensive scenario to build — and the most valuable.
The data must be defensible.
Scenario 2 is only as strong as the underlying data. Pull complete time records, not samples. Use the employer's own records — they are the best evidence. If the records are incomplete, note the gaps and apply reasonable assumptions. The methodology must be transparent and replicable.
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Scenario 3 — Defense Best Case
This scenario applies every available defense tool to the data-driven violation rates: penalty caps, standing challenges, anti-stacking, recoverability limitations, and temporal bifurcation.
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Settlement Authority Recommendation Format
The carrier needs a specific authority recommendation with supporting rationale. This format provides the information carriers require.
Lead with the data.
Carriers respond to quantitative analysis, not qualitative assessments. The three-scenario model with actual violation rates is dramatically more persuasive than 'we believe the case is defensible.' The model demonstrates that defense counsel has done the work — and that the authority recommendation is based on data, not intuition.
Key Authorities
Lab. Code § 2699(f)(2)(A)
Default penalty — $100
Lab. Code § 2699(g)(1)
15% penalty cap
Lab. Code § 2699(h)(1)
30% penalty cap
Lab. Code § 2699(i)
Anti-stacking provision
Lab. Code § 2699(m)
35% employee / 65% LWDA split
Lab. Code § 2699(c)(1)
Standing — personal experience requirement
Ferra v. Loews Hollywood Hotel (2021) 11 Cal.5th 858
Regular rate for premium calculations
Alvarado v. Dart Container (2018) 4 Cal.5th 542
Flat-sum bonus regular rate methodology
For illustrative and educational purposes only. All calculations are hypothetical. Use the Penalty Estimator tool for case-specific modeling.