Case Studies

Efficient TAR-based Document Review for Competition Bureau Supplementary Information Request

Written by Array | Dec 12, 2025 9:45:17 PM

The Challenge:

To respond to a Competition Bureau Supplementary Information Request (“SIR”) resulting from an M&A transaction, our client faced over 800,000 documents to review under tight regulatory deadlines while minimizing costs.

AT A GLANCE

Challenge: Review over 800,000 documents for a Competition Bureau SIR under tight deadlines while controlling costs

Impact: over 12,500 review hours saved; nearly $1M in cost savings

Timeline: ~5 weeks

Outcome: Efficient, defensible review completed on time while maintaining quality

 

 

 

The Solution:

Array deployed a multi-pronged review strategy to streamline the review process and complete the review within approximately 5 weeks.

 

 

  • Assisted Review Workflow: Cut manual review of over 450,000 low-ranked documents by deftly employing a Continuous Active Learning tool using predictive coding and machine learning prioritization.

 

  • Duplicate MD5 Hash Propagation Workflow: Removed nearly 80,000 exact duplicate attachment documents from manual review using hash-based deduplication and coding propagation.

 

  • Early Case Assessment Mass Coding Workflow: Identified mass coding opportunities for over 100,000 documents, significantly reducing manual review effort.

 

 

The Results:

  • 12,500 hours reclaimed through streamlined review

 

  • $1M saved by cutting 78% of the review scope

 

  • Efficient, defensible review completed on time while maintaining quality