Reading Carrier Behavior From Pre-Suit Notice Data

In several states, a policyholder cannot sue an insurer for bad faith without first filing a formal notice with a state insurance regulator. That requirement creates something rare: a detailed, public record of bad-faith disputes that exists before any lawsuit reaches the courthouse. Read in aggregate, these statutory pre-suit notices are among the most informative public datasets available for plaintiff-side coverage analysis.

What a pre-suit bad-faith notice is

In states with this framework, an insured who believes a carrier mishandled a claim must give formal notice before going to court. The notice is filed with a state insurance regulator and served on the insurer. It opens a defined period during which the carrier may correct the conduct in question.

These notices follow a standardized format. They capture specific facts: the insurer's identity, the policy and claim at issue, the type of coverage involved, the category of alleged violation, and a description of the claimed damages. Once filed, each notice becomes part of a public record maintained by the regulator.

The cure period matters. It means a notice documents not only the claim but the carrier's response — or its failure to respond — to a specific, regulated demand. That is a documented act of carrier conduct, not a bare allegation. It is a recorded interaction inside a defined statutory process.

The dataset at the market level

A single notice tells you something about one claim. Tens of thousands of notices, assembled and analyzed together, tell you something about the market — and about specific carriers operating within it.

At that scale, the data surfaces patterns no single matter can reveal: how carriers compare to one another, how conduct varies across coverage lines and regions, and how a carrier's profile has shifted over time. These are patterns experienced plaintiff attorneys have long suspected — but never had a systematic way to see.

The exact signals DAIS extracts, and the analytical framework behind them, are part of the intelligence delivered to Founding Members. They are not published methodology. What belongs here is simpler. The patterns are real, they are material to litigation strategy, and they have never been assembled in this form for the plaintiff bar.

What this means for bad-faith strategy

An attorney preparing a bad-faith claim benefits from knowing a carrier's aggregate notice history before drafting the notice. Prior filings are not individually determinative as evidence. But the pattern shapes the strategic context.

A carrier with a documented history of high notice volume — in the same coverage line, the same violation category, and the same region as the current matter — is a very different situation than a carrier with a clean record. The first may signal a systemic conduct problem. The second may be an outlier. That distinction should inform demand strategy, expectations during the cure period, and the litigation plan.

The aggregate record also strengthens expert and damages analysis. A carrier's broader pattern of conduct speaks to the reasonableness standard that bad-faith cases turn on. Knowing how a carrier compares to its peers, in the same line and region over the same period, is exactly the market-level context this data can supply.

Delivered responsibly

The intelligence value of this data lives at the market level — carrier conduct patterns, propensity signals, and benchmark comparisons — not at the level of individual claimants or claims. All DAIS intelligence is delivered in aggregate, anonymized form. Outputs describe institutional conduct across the market. They do not surface records about individual people.

For more on DAIS's approach, see the Methodology page.

The fuller picture

These conduct patterns become more meaningful when layered with carrier financial health. A carrier with a high conduct-risk profile and deteriorating finances is a qualitatively different situation than a financially stable carrier with the same notice history. Founding Members receive both layers.

DAIS's Carrier Intelligence product brings these layers together: propensity signals drawn from pre-suit notice data, combined with financial-health indicators, for a composite view of carrier posture in bad-faith matters across multiple states.