Bad Faith & Automated Claim Adjustment Software: Proving, Disputing Systematic Undervaluation of Damaged Vehicles

Course Details
- smart_display Format
On-Demand
- signal_cellular_alt Difficulty Level
Intermediate
- work Practice Area
Insurance
- event Date
Thursday, August 15, 2024
- schedule Time
1:00 p.m. ET./10:00 a.m. PT
- timer Program Length
90 minutes
-
This 90-minute webinar is eligible in most states for 1.5 CLE credits.
This CLE webinar will discuss proving or defending bad faith claims based on the use of algorithms or "insurtech" to establish totaled vehicle valuation. The panel will review potential claims as well as recent cases raising these issues.
Faculty

Mr. Kirsch is an insurance litigation attorney and shareholder with the law firm of Matthiesen, Wickert & Lehrer, S.C. He has been with MWL’s Hartford office since 2015, concentrating his practice on litigation of subrogation cases involving large loss casualty, commercial auto, transportation and cargo, and workers’ compensation. Mr. Kirsch has built and grown the MWL commercial auto and cargo/transportation group into the thriving sector of our firm’s subrogation practice.

Mr. Irvin earned a bachelor's degree in finance from the University of Central Florida in 2008 and graduated, cum laude, from Florida A&M University College of Law in 2012. In law school, he was a senior editor of the Law Review Journal and the president of the Environmental Law Society.

Owner at Shannon Smith's Auto Appraisals, Estimates, LLC

Description
Generally speaking, if the cost to repair a damaged vehicle is greater than its "actual cash value" the insurer must replace the vehicle or pay the actual cost to purchase a comparable one. As more and increasingly advanced, sensitive, and integrated technologies have been incorporated into personal and commercial vehicles of all types, the cost of repairs has skyrocketed, so owners are more frequently being offered a cash value.
There continues to be controversy over what factors should be considered in determining cash value. But in recent years, insurers have begun using new types of data, new processes--namely algorithms--and applying new deductions, all of which policyholders contend are not only unsubstantiated, but designed and applied in bad faith to undervalue their claims.
Policyholders continue to challenge the validity of the data being used in algorithms and the reliability of the algorithms themselves. Requests about the software and algorithms often result in heated discovery disputes.
Listen as this experienced panel discusses proving or defending bad faith claims based on the use of algorithms or "insurtech" to establish totaled vehicle value.
Outline
- Components of actual cash value for vehicles
- Replacement
- Fair market value
- Broad evidence rule
- Software examples
- CCC Information Services
- Work Center Total Loss (WCTL)
- JD Power and Mitchell International
- Audatex
- Challenging the accuracy and reliability of software
- Applying state formula for ACV
- Types data in the data base
- Use of negotiation deductions
Benefits
The panel will review these and other key issues:
- What damages are available for inaccurate cash value offer?
- On what basis can insurers claim that reductions of advertised prices are typical in a particular market? Do such deductions violate state laws?
- How can policyholders discover what algorithms are being used to calculate value?
- Do algorithms used to generate actual cash value have to pass muster under Daubert and FRE 702?
- Can insurers incorporate data about the policyholder's price elasticity and willingness to settle in determining the claim's "reasonable value"?
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