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Demeta Reyes v. Experian Information Solutions, Inc.
Case Number:
8:16-cv-00563
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Nature of Suit:
Multi Party Litigation:
Class Action
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May 05, 2021
Loan Customers' Attys Nab $6M In Fees From Experian Deal
A California federal judge on Tuesday awarded $6 million in attorney fees to counsel representing a class of more than 56,000 payday loan customers who say Experian threatened their credit history when it reported debts on disputed loans.
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October 28, 2020
Experian Sues Insurers Zurich, SCOR For $18M In Legal Costs
Consumer reporting giant Experian is suing two insurers in London to recoup legal costs of more than $18 million, citing multiple U.S class actions over data errors and pending investigations into a cyberattack on the credit bureau.
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March 24, 2020
Loan Customers' Attys Seek $8M In Fees From Experian Deal
Counsel for a class of more than 56,000 payday loan customers who say Experian jeopardized their credit history when it reported debts on disputed loans are seeking $8 million in attorney fees from the $24 million settlement reached with the credit agency last year.
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January 02, 2020
Experian Agrees To Pay $24M To Payday Loan Customers
A class of more than 100,000 payday loan customers reached a $24 million cash settlement to end allegations that consumer-reporting giant Experian threatened customers' credit history by reporting debts on disputed loans.
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October 02, 2019
Experian Must Face Delinquent Payday Loan Suit Again
Reversing his previous ruling after a successful appeal, a California federal judge certified a class of more than 100,000 payday loan customers who claim consumer-reporting giant Experian "jeopardized" their credit history by reporting debts on disputed loans.
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October 17, 2017
Experian Beats Suit Over Abandoned Payday Loan In Report
A California federal judge has quashed a proposed class action claiming Experian failed to stop reporting debts on disputed payday loans, saying there was no evidence the consumer credit reporting giant willfully distorted results or that the reports were inaccurate.