Challenge

An Australian law firm faced an urgent data breach matter involving a large, unstructured dataset requiring identification of PII, PHI, and high-risk financial information. Key challenges included:

  • Initial ambiguity around documents related to financial applications and related products
  • Tight regulatory deadlines, with significant reputational and compliance risk if reporting proved inaccurate or incomplete

The firm needed a fast, defensible way to isolate reportable records while maintaining accuracy under pressure.

Solution

Elevate’s Data Breach team executed a rapid, structured review using advanced analytics to reduce a large dataset to a defensible, reportable population within a tight timeline. This was achieved through:

  • Deploying a 23-member data breach review team, led by a project manager serving as the subject matter expert
  • Using RelativityOne to ingest and analyse 16 GB of data across 34,990 documents
  • Applying data mining, de-duplication, email threading, and targeted search term strategies to systematically narrow the review scope
  • Conducting iterative sampling and quality checks to remove non-reportable content and improving accuracy
  • Refining workflows to focus on high-risk PII, PHI, and financial data categories, ensuring defensible and compliant outcomes

Impact

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Reduced the review dataset from 34,990 documents to 11,847 through analytics-driven mining and sampling

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Enabled progression to Phase 2 review, identifying:

  • 1,413 reportable records
  • 217 entities requiring notification
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Delivered the project within the agreed timeline, despite evolving scope requirements

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Saved the customer time and cost while maintaining accuracy and regulatory confidence

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