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Fdazar > Attorneys > Ivy T. Ngo
Attorney Ivy Ngo

Ivy T. Ngo

Ivy Ngo is the head of Frank D. Azar & Associates’ class action group and focuses her practice on consumer, ERISA and securities class action lawsuits.  Prior to joining Frank D. Azar & Associates, Ms. Ngo was key in the successful prosecution of securities fraud cases resulting in hundreds of millions of dollars in recoveries for injured investors.  Among others, those cases include In re Cardinal Health, Inc. Sec. Litig. ($600 million recovery); Jones v. Pfizer Inc. ($400 million recovery); Fort Worth Employees’ Retirement Fund v. J.P. Morgan Chase & Co., et al. ($388 million recovery); In re HealthSouth Corp. Sec. Litig. ($250.5 million recovery); Silverman v. Motorola, Inc. ($200 million recovery); In re MGM Mirage Securities Litigation ($75 million recovery); Massachusetts Bricklayers and Masons Trust Funds et al v. Deutsche Alt-A Securities Inc et al., ($32.5 million recovery); City of Ann Arbor Employees’ Retirement System et al. v. Citigroup Mortgage Loan Trust Inc. et al. ($25 million recovery), In re Genworth Financial, Inc. Sec. Litig. ($20 million recovery); and Shankar v. Imperva, Inc. ($19 million recovery).

 

Ms. Ngo has been recognized for her legal work and has been named a Super Lawyer “Rising Star” for the past four consecutive years.  She is admitted to the State Bar of California and is licensed to practice in all California state courts, the U.S. District Court for the Northern District of California and the U.S. District Court for Colorado.  She is also registered to practice before the U.S. Patent and Trademark Office.

Ms. Ngo graduated with a Bachelor of Arts degree in English with departmental honors and a Minor in Neuroscience from the University of California, Los Angeles.  She earned her Juris Doctor degree from the Rutgers University School of Law-Camden.

Ms. Ngo’s experience has made her very knowledgeable about the various stages of e-discovery in class actions, including collecting and identifying relevant electronically stored information, utilizing predictive coding, conducting privilege and responsiveness reviews, and preparing for depositions and trial.

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