Summary
Liability claims accuracy is becoming a strategic priority for Chief Claims Officers as rising claim severity, social inflation, litigation pressure, and adjuster workforce challenges put greater strain on loss ratio performance. This article explores why consistent liability assessment, early severity detection, defensible documentation, and technology-enabled decision support are essential to helping claims organizations reduce variability, improve settlement outcomes, and strengthen operational resilience.

Claim severity, litigation pressure, and operational complexity are rising simultaneously, while institutional adjuster knowledge continues to erode in the general liability and auto lines of business. The result is a structural performance gap that shows in loss ratios, defense budgets, and retention numbers across the industry. Understanding that gap, and closing it, has become a defining strategic challenge—and opportunity—for claims leaders.
The numbers behind the pressure
From 2020 to 2024:
- General Liability (GL) severity rose ~45%, from roughly $70,000 to $101,000 per claim, with bodily injury driving most of the increase
- GL property damage severity rose 51% over five years
- Roughly 29% of total loss comes from loss adjustment expense
Explore the data:
Social inflation has compounded the problem. U.S. liability claims costs have risen approximately 57% over the past decade. In 2023, social inflation reached a 20-year high of 7% driven in significant part by nuclear verdicts. There were 27 individual verdicts exceeding $100 million that year alone.[1]
The aggregate impact on claims economics is severe. In general liability, just 5.5% of closed claims—those that are litigated—account for 65% of total paid costs. That concentration means that even modest improvements in early identification, liability accuracy, and documentation quality can have an outsized effect on loss outcomes.[2]
The talent dimension
Severity trends are only part of the equation. Rising workloads, elevated turnover, and a generational transition in the claims workforce mean organizations are increasingly relying on less-experienced adjusters to manage bodily injury claims. The result is variability in how liability is assessed, how demand packages are evaluated, how determinations are documented, and how settlements are negotiated.
Variability is not solely a training or management problem. It is a systems problem. Without embedded structure and consistent data applied at the point of decision, even skilled adjusters produce inconsistent outcomes under volume pressure. That inconsistency compounds: higher escalation rates, larger reserve adjustments, more litigated files, and documentation that doesn't hold up in court or at the arbitration table.
What does best practice look like at the executive level?
High-performing claims organizations build operations that produce consistent, defensible outcomes at scale. For CCOs, that requires attention to four interconnected priorities:
- Standardization: Embed consistent analytical frameworks in the workflow itself — structured liability assessment, data-backed injury evaluation, and comparative fault calculations that translate consistently from determination to settlement. When the framework is in the system, consistency follows regardless of adjuster tenure or caseload.
- Documentation quality: A well-reasoned determination that is poorly documented is only marginally better than a poorly reasoned one. Whether a file settles at the adjuster’s desk or escalates to litigation, it needs to tell a clear, evidence-backed story: how liability was assessed, what data supported the injury evaluation, what statutory guidance informed the determination, and how the settlement was calculated. That documentation is what lets adjusters settle confidently and accurately on their own, and what gives the file a defensible foundation if it does end up in court.
- Early signal detection: Nuclear verdicts and oversized settlements are rarely surprises in retrospect. They are the product of patterns detectable earlier in the claims lifecycle: elevated injury severity, provider fraud indicators, attorney representation at first contact, demand packages with documentation gaps or inflated valuations. Operations that surface those signals early contain severity more effectively than those that respond reactively.
- Subrogation identification: In a high-severity environment, recovery is a material contributor to loss ratio performance. Yet subrogation opportunities are systematically under-identified in organizations without structured processes for calculating accident liability at scale.
How does technology enhance these practices?
These best practices are not new in principle, but the urgency behind them has changed. As claim severity rises, litigation pressure intensifies, and adjuster expertise becomes harder to scale consistently, CCOs can no longer afford to treat liability claims management as a back-office process. It is now a strategic lever for protecting loss ratio performance. The organizations best positioned to manage this environment are those equipping claims teams with structured workflows, analytics, decision support tools, and historical context at the point of decision, helping every adjuster make more consistent, defensible, and financially sound determinations.
Verisk's Liability Navigator is designed to meet this moment across two distinct workflows.
- For accident liability, it brings together accident scene diagramming, recorded statement data-capture and transcription, comparative fault determination, and claim facts aligned to state statues.
- For injury assessment, it delivers AI-powered demand package review, data-backed general damages evaluation, provider fraud alerts, and ClaimSearch® integration for prior-claim pattern detection. A comprehensive snapshot delivers the most critical claim insights to accelerate claim resolutions.
Each are available in a specialized guided workflow, with a personalized AI assistant that delivers regional statutes and medical intelligence in context, so adjusters work from current, relevant data rather than relying on recall or manual research.
The results are measurable. Carriers using Liability Navigator have demonstrated a 20% increase in applied liability frequency. Injury evaluation is benchmarked against a carrier's historical data and assessed using more than 18,000 injuries, providing a data-backed foundation for general damages assessment that withstands legal scrutiny. The integration with Guidewire ensures that this capability fits within existing claims platforms with minimal disruption to established workflows.
For the CCO, the strategic value extends beyond individual claim outcomes. When every determination is documented with AI-assisted rationale, statutory citations, and integrated evidence—from demand package to settlement decision—the operation is more accurate, more auditable, more defensible in litigation, and more resilient to workforce change.
The cost of the status quo
The organizations pulling ahead on loss ratio performance have moved from claims management as art to claims management as a disciplined, data-driven operational capability—one where structure replaces variability, documentation supports defensibility, and technology amplifies adjuster performance.
In a market where 5.5% of claims consume 65% of paid costs, where inflated verdicts are becoming routine, and where adjuster experience is declining, the status quo is an accelerating exposure — not a stable position.[3]
Accuracy in liability claims is a financial performance issue for the enterprise. The CCO's role is to build the operation that delivers it.
[1] Swiss Re Institute, “Social inflation: litigation costs drive claims inflation.” https://www.swissre.com/institute/research/sigma-research/sigma-2024-04-social-inflation.html Published Sept 7, 2024. Retrieved Jun 4, 2026.
[2] Sedwick, “State of the Line: Casualty General Liability Summer 2024.” https://www.sedgwick.com/stateoftheline/casualty-generalliability-summer2024/ Retrieved Jun 4, 2026.
[3] Ibid.