Reading Carrier Behavior From Pre-Suit Notice Data

Before a policyholder in some states can sue an insurer for bad faith, they must file a formal notice with the state insurance regulator. That notice starts a clock — and it creates a public record. Read one at a time, these notices document single disputes. Read in the tens of thousands, they form one of the most revealing public datasets in insurance litigation.

What a pre-suit notice is

The notice is a standard form. It names the insurer, the policy, the type of coverage, the kind of violation alleged, and the claimed damages. It is filed with the regulator and served on the insurer, and it becomes part of a public record.

Filing the notice opens a "cure period" — a set window in which the insurer can fix the problem before a lawsuit is allowed. So each notice records two things: an allegation, and how the insurer responded to a formal, regulated demand. That response is documented conduct, not just a claim.

One notice versus thousands

A single notice describes one claim. Thousands of them, assembled together, describe the market — and the insurers in it. At that scale, the data shows how insurers compare to each other, how conduct differs by coverage type and region, and how an insurer's record has shifted over time. Experienced plaintiff attorneys have long suspected these patterns. There was never a systematic way to see them.

The specific signals DAIS extracts are part of what Founding Members receive, not published methodology. The short version is enough here: the patterns are real, and they matter to strategy.

How attorneys use the pattern

Past notices do not prove anything about a new case. But they set the context. An insurer with heavy notice volume in the same coverage type and region looks very different from one with a clean record — the first may have a systemic problem, the second may be facing an outlier. That aggregate historical pattern informs how an attorney drafts the notice, what to expect during the cure period, and how the broader conduct record compares to peer insurers.

The cure period as a signal

What an insurer does with its cure window is public too. One case tells you little — it reflects one claim and one adjuster. Across many notices, a profile emerges. Some insurers consistently use the window to resolve problems. Others let it lapse, again and again. For an attorney entering a cure period, that history is not a guarantee. It is a benchmark. How that benchmark moves over time is covered separately in Pre-Suit Bad-Faith Notices as a Market Signal.

Lines and states

An insurer's record is not uniform. High volume may sit in one coverage line — say, residential property — while other lines stay clean. That concentration matters for strategy, and totals alone hide it.

Geography works the same way. Elevated notices in one state might reflect local conditions. The same pattern across several states, in the same coverage line, is harder to explain away. It starts to look institutional. A multi-state dataset makes that distinction visible; a single state's record cannot.

Delivered responsibly

The value of this data is at the market level, not the level of individual claimants. All DAIS intelligence is aggregate and anonymized — see the Methodology page. Conduct patterns also mean more alongside insurer financial health, and DAIS's Carrier Intelligence product combines both layers into a single multi-state view.