Nish Hansoti

Senior Manager


  • Chicago


Nish Hansoti conducts financial and statistical analyses to address class certification, economic damages, valuation, and bankruptcy issues. Mr. Hansoti has substantial merger review experience and has worked on behalf of merging parties and government agencies to evaluate merger efficiencies and determine if firms are failing. His industry experience includes consumer financial products, education, financial institutions, healthcare, and nuclear utilities.

Financial institutions and consumer financial products

Mr. Hansoti consults on banking practices and consumer financial products such as mortgages, student loans, small dollar lending, and credit repair. His experience includes:

  • Analyzing practices related to loan origination and underwriting, credit decisions, mortgage servicing, and mortgage securitization due diligence
  • Evaluating banking processes related to Bank Secrecy Act/Anti-Money Laundering (BSA/AML)
  • Analyzing data on consumer behavior and consumer complaints involving payday lending and credit repair services
  • Calculating exposure and addressing loss causation issues related to transaction processing of interest charges and fees
Merger efficiencies and failing firm analysis

Mr. Hansoti has consulted on merger reviews on behalf of both merging parties and government agencies, including the Department of Justice and the Federal Trade Commission. He has assessed merger efficiencies and failing firm issues in numerous matters, including United States v. Energy Solutions Inc. et al. These analyses have included evaluating the verifiability and merger specificity of claimed efficiencies. In addition, Mr. Hansoti has conducted solvency analyses to determine whether firms are failing and if their assets are likely to exit the relevant market.

Class certification

Mr. Hansoti has conducted analyses in class certification matters related to banking practices and allegations of consumer fraud. He has evaluated proposed damages methodologies and applied statistical analyses to assess whether such methodologies can be applied on a class-wide basis and whether there are potential class conflicts.


United States v. EnergySolutions Inc. et al.