Our experts assist financial institutions and their legal counsel manage exposure to compliance issues, including discrimination with respect to pricing, underwriting, steering, servicing, and redlining on the basis of race, ethnicity, gender and age. Our work focuses on the quantitative analysis of regulatory risks associated with consumer and small business lending products, including those created by artificial intelligence and machine learning techniques. Recent assignments provided regulatory support with respect to the Fair Housing Act, the Equal Credit Opportunity Act, and allegations of Unfair, Deceptive, or Abusive Acts and Practices. This work has been performed over a wide range of consumer and small business lending products, including mortgages, auto finance, credit cards, student lending, unsecured products, as well as various depository products. Our team uses econometric and statistical analyses to examine application and loan level data at the origination, pricing, and servicing stages for depository institutions and non-depository institutions, including FinTech firms.