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  • DOJ and North Carolina AG Settle First-Ever Federal Discrimination Suit Involving Auto Lending

    Consumer Finance

    On February 10, the DOJ, along with the U.S. Attorney’s Office for the Western District of North Carolina and the North Carolina AG, announced the settlement of the federal government’s discrimination suit involving two “buy here, pay here” auto dealerships. According to the DOJ, this is the federal government’s first-ever settlement involving discrimination in auto lending. Filed in January 2014, the settlement resolves a lawsuit alleging that two North Carolina-based auto dealerships violated the federal Equal Credit Opportunity Act by “intentionally targeting African-American customers for unfair and predatory credit practices in the financing of used car purchases.” The North Carolina AG further alleges that the auto dealerships’ lending practices violated the state’s Unfair and Deceptive Trade Practices Act. The terms of the settlement require the two dealerships to revise the terms of their loans and repossession practices to ensure that “reverse redlining” ceases to exist; required amendments include: (i) setting the maximum projected monthly payments to 25% of the borrower’s income; (ii) omitting hidden fees from required down payment; (iii) prohibiting repossession until the borrower has missed at least two consecutive payments; and (iii) providing better-quality disclosure notices at the time of the sale. Also required by the settlement agreement, the two auto dealerships must establish a fund of $225,000 “to compensate victims of their past discriminatory and predatory lending."

    Auto Finance Fair Lending ECOA DOJ Enforcement Discrimination Redlining Predatory Lending

  • New York AG Sues Bank for Alleged Redlining

    Lending

    On September 2, the NY AG sued a regional bank claiming the bank engaged in unlawful discriminatory practices by intentionally avoiding offering mortgage loan products to predominately African-American neighborhoods in Buffalo. People of the State of New York v. Evans Bancorp, Inc. et al., No. 14-cv-00726 (W.D.N.Y. Sept. 2, 2014). In the complaint, the NY AG asserts that by creating a map of its lending area in Buffalo that included most of the city and its surroundings, but excluded certain African-American neighborhoods on the city’s east side, the bank engaged in redlining in violation of the Fair Housing Act, New York state human rights law, and city code. The suit also alleges that the bank did not market its loan products to minority customers and located bank branches and ATMs outside of minority neighborhoods. The NY AG further claims that the bank’s rates of lending and receiving applications from African-American borrowers allegedly lags behind comparable banks and that these purported discriminatory effects are due to the bank’s alleged redlining practices.  The NY AG seeks injunctive relief, damages, civil penalties, punitive damages, fees and costs.  In its release announcing the lawsuit, the NY AG stated that the suit is part of ongoing investigations by the AG into potential mortgage redlining across the state.

    UDAAP Discrimination Fair Lending Redlining

  • HUD Announces Disability Income Fair Housing Conciliation Agreement

    Lending

    On August 13, HUD announced that a nonbank mortgage lender agreed to pay $104,000 to resolve allegations that the lender’s underwriting practices resulted in discrimination against mortgage applicants who rely on disability income. HUD filed a complaint claiming the lender required loan applicants to submit medical and other documentation related to an applicant’s disability income that it did not require from non-disabled applicants, in violation of the Fair Housing Act. Working with HUD, the lender identified 69 applicants whose loan files contained evidence of a request for additional disability documentation or evidence that a loan may have been denied on the failure or inability of the applicant to provide such documentation. The lender agreed to compensate those applicants using a tiered system, under which each applicant will receive $1,000, $2,000, or $5,000 in damages. The lender did not admit to any fault, guilt, or liability, and denied that it discriminated against any loan applicant on the basis of disability. The lender also submitted to a monitoring requirement and implemented a modified fair lending training program for its employees.

    HUD Discrimination

  • White House Big Data Review Addresses Discrimination, Privacy Risks

    Privacy, Cyber Risk & Data Security

    On May 1, the White House’s working group on “big data” and privacy published a report on the findings of its 90-day review. In addition to considering privacy issues associated with big data, the group assessed the relationship between big data and discrimination, concluding, among other things, that “there are new worries that big data technologies could be used to ‘digitally redline’ unwanted groups, either as customers, employees, tenants, or recipients of credit” and that “big data could enable new forms of discrimination and predatory practices.” The report adds, “[t]he same algorithmic and data mining technologies that enable discrimination could also help groups enforce their rights by identifying and empirically confirming instances of discrimination and characterizing the harms they caused.” The working group recommends that the DOJ, the CFPB, and the FTC “expand their technical expertise to be able to identify practices and outcomes facilitated by big data analytics that have a discriminatory impact on protected classes, and develop a plan for investigating and resolving violations of law in such cases,” and adds that the President’s Council of Economic Advisers should assess “the evolving practices of differential pricing both online and offline, assess the implications for efficient operations of markets, and consider whether new practices are needed to ensure fairness.” The working group suggests that federal civil rights offices and the civil rights community should collaborate to “employ the new and powerful tools of big data to ensure that our most vulnerable communities are treated fairly.” With regard to privacy the report states that the “ubiquitous collection” of personal information and data, combined with the difficulty of keeping data anonymous, require policymakers to “look closely at the notice and consent framework that has been a central pillar of how privacy practices have been organized for more than four decades.” Among its policy recommendations, the working group urges (i) enactment of a Consumer Privacy Bill of Rights, informed by a Department of Commerce public comment process, and (ii) the adoption of a national data breach bill along the lines of the Administration’s May 2011 Cybersecurity legislative proposal. It also calls for data brokers to provide more transparency and consumer control of data.

    CFPB FTC DOJ Predatory Lending Discrimination Privacy/Cyber Risk & Data Security

  • Ninth Circuit Reverses Denial Of Class Certification In Disparate Impact Case

    Lending

    On April 24, the U.S. Court of Appeals for the Ninth Circuit reversed a district court’s denial of class certification in a disparate impact age discrimination case, holding that the court erred in considering merits issues when determining class certification. Stockwell v. San Francisco, No. 12-15070, 2014 WL 1623736 (9th Cir. Apr. 24, 2014). The case involves claims brought by a group of police officers on behalf of a putative class alleging workplace age discrimination in violation of the California Fair Employment and Housing Act. The class representatives allege that the city’s promotion policy had a disparate impact on employees over the age of 40. The district court denied the named plaintiffs’ motion to certify the class, holding that the claims failed to satisfy Rule 23(a)(2)’s commonality requirement because the named plaintiffs’ statistical analysis did not establish a general policy of discrimination under Wal-Mart Stores, Inc. v. Dukes, 131 S. Ct. 2541 (2011), and failed to demonstrate that the policy caused any resulting disparate impact. On appeal, the court determined that in considering the statistical analysis, the district court improperly relied on merits issues to reach its conclusion rather than focusing on whether the questions presented were common to the members of the putative class. The Ninth Circuit held that “the officers have identified a single, well-enunciated, uniform policy that, allegedly, generated all the disparate impact of which they complain,” and that “whatever the failings of the class’s statistical analysis, they affect every class member’s claims uniformly.” Further, the court held whether the policy caused the disparate impact is a single significant question of fact common to all class members. The court reversed the district court’s holding on commonality, and remanded for consideration of other class certification prerequisites, including predominance.

    Class Action Fair Lending Disparate Impact Discrimination

  • HUD Settlement Resolves Fair Housing Act Allegations

    Lending

    On November 5, HUD released a Conciliation Agreement with a lender alleged to have discriminated against African-American and Hispanic borrowers seeking mortgage loans. In an administrative complaint filed following a review of the lender’s internal loan data, HUD claimed that the lender’s wholesale lending program violated the Fair Housing Act by underwriting, approving, purchasing, and securitizing mortgage loans in a manner that allowed pricing and denial disparities on the basis of race and national origin. HUD stated that the lender’s wholesale business, which granted third-party brokers discretion to negotiate fees and compensated those brokers through direct fees paid by borrowers to brokers, and/or through yield spread premiums paid by the lender, allegedly resulted in African-American and Hispanic borrowers paying higher APRs, receiving higher-priced loans, and paying more fees than similarly situated white borrows. HUD also alleged that African-American and Hispanic applicants were more likely to have their loan applications denied. HUD did not allege any intentional discrimination, and instead based its claims on its finding that statistical dipartites existed. To resolve the HUD investigation and complaint without litigation, and without admitting the allegations, the lender agreed to establish a $12.1 million fund to compensate allegedly harmed consumers and to distribute any excess funds to housing advocacy and counseling groups.

    HUD Fair Housing Discrimination

  • Sixth Circuit Affirms Dismissal of ECOA Discrimination Claims

    Consumer Finance

    On August 14, the U.S. Court of Appeals for the Sixth Circuit affirmed a district court’s dismissal of claims by a borrower of Iraqi origin that a bank violated ECOA when it refused to restructure the borrower’s loan. 16630 Southfield L.P. v. Flagstar Bank, F.S.B., No. 12-2620, 2013 WL 4081909 (6th Cir. Aug. 14, 2013). In this case, a naturalized citizen of Iraqi origin obtained a loan from the bank for use in real estate ventures. When the borrower did not repay the loan in full when it came due, the bank agreed to restructure the loan, but later refused a second request to restructure when the borrower again could not repay on time. The borrower claimed the bank did so without explanation and despite new collateral and a guarantee from the borrower’s wife.  The borrower then sued the bank, alleging that the bank discriminated against him and his family based on their national origin. The court held that the borrower’s national origin does not itself establish the requisite inference of discrimination and the borrower failed to allege other facts sufficient to support that inference. The court explained that despite the borrower’s new collateral and guarantee, “banks often refuse to provide secured loans,” and in this case common sense suggests the bank did so not based on discrimination but because the borrower failed to pay the initial loan on time. Further, the court held that the bank’s refusal to explain its decision does not itself suggest discrimination and the borrower failed to identify any similarly situated individuals whom the bank treated better. The court affirmed the district court’s dismissal.

    Discrimination

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