Case Study

$125K Saved and 1,200 Hours Eliminated: How Array Delivered Big for a Global Pharma Case

Substantial cost savings by reducing the dataset from an initial 5.7M documents to 500,000 documents. This translated into a $125,000 saving.

By leveraging Active Learning, 73,726 documents were validated by reviewing only 1,506 documents; saving 1,200 hours of review.

Objectives

Support a law firm client in managing a Collections matter for a global pharmaceutical client by providing specialized eDiscovery expertise through Array’s Canadian team.
Supplement the law firm’s limited IT resources by leading the data collection process.
Expand the initial ~50GB dataset to a more comprehensive and defensible ~650GB dataset in response to evolving case requirements.

Our Solution

Array’s Canadian eDiscovery team extracted data (642GB) from 23 Email Accounts(.pst files) and SharePoint drives.
Using email threading, de-NISTing and deduplication, our team was able to reduce the document count from 5.7M to 500k.
AI-based Active Learning technology was used to further reduce documents, after which 73k were identified as not needing eyes-on review.

Success Factors

Challenges

The law firm’s IT team was limited in resources/capabilities.
After selecting an initial dataset of ~50GB, the client realized that to be defensible, the data set would need to be much larger (~650GB).

Servies Included

Email & Sharepoint collection
Early case assessment
Processing
Hosting
Intelligent review
Production

The Array Advantage

When case demands outpace internal resources, Array delivers scalable support with precision. Our advanced tech and expert teams turn massive, complex datasets into manageable, defensible results—fast.

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