Adam Finn has extensive experience leading teams in the preparation and analysis of complex data sets. He has advised clients on questions requiring data analytics across a broad range of industries with a specialization in mass tort litigation. Mr. Finn designs complex solutions to data and modeling challenges while ensuring the results are accessible to stakeholders of varying backgrounds.

Mr. Finn has been retained in litigation as both a testifying and consulting expert on matters of insurance coverage valuation. He provides data-driven guidance to attorneys and claims professionals in order to help them formulate litigation strategy or value insurance policies amidst uncertainty about the legal environment and the size of the liability. He has developed insurance valuation software capable of modeling a near limitless number of allocation scenarios. Mr. Finn also has extensive experience supporting other experts across a wide range of industries.

Prior to joining HighRock, Mr. Finn worked at Bates White Economic Consulting. He graduated Phi Beta Kappa from the Schreyer Honors College at the Pennsylvania State University with a dual degree in Economics and Finance and a minor in Chinese.

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Selected experience

• Authored expert report and provided deposition testimony on behalf of an insurer seeking repayment of other insurers’ shares of historical indemnity and defense expenditures incurred in managing the policyholder’s asbestos claims. Processed historical expenditure and policy data and allocated losses to coverage to quantify amounts owed.

• Submitted an affidavit calculating prejudgment interest on tendered amounts in Viking Pump Inc. and Warren Pumps, LLC v. Century Indemnity Company, et al. Analyzed approximately $100 million in indemnity and defense expenditure data for policyholder for purposes of tendering costs to their insurance carriers under an all sums allocation. Submitted an affidavit calculating prejudgment interest on the tendered amounts.

• Submitted an affidavit allocating defense costs and calculating prejudgment interest in a successful defense of a directors and officers (D&O) lawsuit.

• Forecasted product liabilities for Fortune 500 companies to assist them in insurance valuation and financial reporting. Contributed to epidemiological models used to predict incidence of asbestos related diseases.

• Routinely served as an insurance allocation specialist for both insurance companies and policyholders facing environmental or product liability losses. Allocated both known and estimated losses to insurance portfolios to model tens of thousands of potential legal and factual scenarios. Used analysis to assist both insurers and policyholders in insurance buyback negotiations, formulating coverage in place agreements, and estimating reserves.

• Automated the construction of databases in various industries, including product liability claims, computer display panels, microprocessor chips, and online gaming. Wrote software algorithms to intelligently process raw data from millions of primary source documents.

• Supported testifying experts in multiple residential mortgage-backed securities (RMBS) matters on behalf of investors in disputes with RMBS trustees concerning breaches of representations and warranties in the trust agreements. Analyzed servicing data and trustee reports to develop loan samples for re-underwriting, in order to estimate the underlying breach rate in the loan pools.

• Served as lead manager supporting expert testimony of Dr. Randal Heeb in United States v. Dicristina. The case centered on the question of whether poker is predominantly a game of chance and therefore illegal under the Illegal Gambling Business Act (IGBA). Based on analyses conducted on more than 415 million hands of online poker, Bates White demonstrated that poker is in fact predominantly a game of skill. Judge Jack B. Weinstein ultimately ruled that poker is “predominated by skill” and therefore does not fit the definition of gambling under the IGBA.

• Processed natural gas futures transaction data that were used as the basis for the pricing analyses in the natural gas futures market manipulation case In re Natural Gas Litigation.