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Data Mining, Review, and Notification List Creation

Quickly identify impacted individuals following a cyber incident. 

Rapidly collect, ingest, scope, and cull breached data using analytics and AI.  

Isolate confidential information, personally identifiable information (PII), and protected health information (PHI) through data mining and review using iterative filtering and automated extraction.  

Identify the impacted population and build accurate notification lists.  

Key Features

  •  Integrate seamlessly with preferred digital forensic investigation partners. 
  •  Automate complex data extraction and processing using advanced analytics techniques.
  •  Maximize AI effectiveness with certified, experienced review managers.
  •  Accelerate timelines with dedicated global review teams, flexible staffing, and unmatched scale.
  •  Enable multilingual review across global delivery centers with secure enterprise-grade, 24/7 infrastructure.
  •  Enable defensible decisions by accurately identifying impacted individuals.
  •  Normalize, deduplicate, and consolidate data to minimize under- and over-notification risk.
  •  Communicate exposure and status through Cyber Reporting in Epiq Access.

Up to 95%  

data reduction using AI.

More than 1 billion

documents analyzed.

51%

average reduction in notification lists.

Trusted by over 87%

of breach law firms and over 70% of cyber insurers.

Partner with a provider on

40+ US and 35+

global cyber insurance panels.

Access over 1000

dedicated specialists and 30K reviewers.

 Reduce risk, accelerate response, and build defensible notification lists.