ABA Data Breach Lawsuit Dismissed in Eastern District NY

May 2, 2024
A legal battle stirred in the Eastern District of New York following a substantial data breach in March 2023, which impacted roughly 1.5 million individuals. Plaintiffs Tiffany Troy and Eric J. Mata leveled allegations against the American Bar Association (ABA), charging that the data compromise was a direct result of the organization’s negligent IT management and non-compliance with prevailing security protocols. The case, cast as a proposed class action, aimed to hold the ABA accountable for what was claimed to be an implied contract breach, deceptive business practices, and consumer-related fraud.Reflecting the complex nature of cybersecurity litigation, U.S. District Judge Nicholas G. Garaufis presided over the case and ultimately issued a dismissal. His ruling clarified that the plaintiffs did not adequately specify which security measures the ABA had bypassed. Moreover, there was insufficient explanation of how the alleged injuries to the plaintiffs tied back to the ABA’s privacy policy—a policy which was reportedly never perused by the claimants themselves.

Evaluating Claimant Evidence

In March 2023, a significant data breach impacted about 1.5 million people, triggering a lawsuit against the American Bar Association (ABA) in the Eastern District of New York. Plaintiffs Tiffany Troy and Eric J. Mata accused the ABA of negligence in maintaining IT security, breaching an implied contract, engaging in deceptive practices, and committing fraud. They alleged the ABA failed to adhere to required security standards, leading to the breach.However, Judge Nicholas G. Garaufis dismissed the case, pointing out that the plaintiffs didn’t specifically indicate which security protocols the ABA neglected, nor did they demonstrate a clear link between their alleged harm and the ABA’s privacy policy, which they hadn’t even reviewed. This highlighted the intricacies of cybersecurity law, underscoring the challenge plaintiffs face in proving negligence and causation in data breach cases.

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