Buried Truths: How AI Saved a Class Action from Collapse
Avoiding Collapse in a High-Stakes U.S. Class Action Through AI-Driven Discovery | Case Study
Industry: Legal | Region: United States | Sector: Class Action Litigation, Legal Discovery
In downtown Chicago, a leading litigation firm was preparing to go to war. The class action suit they led involved over 40,000 plaintiffs against a multinational manufacturer accused of product liability and consumer deception. The stakes: hundreds of millions in potential damages, regulatory scrutiny, and massive reputational blowback for the defendant. But the firm faced a discovery nightmare—over 200,000 internal emails, reports, and contracts, many incomplete, buried in jargon, or inconsistently redacted.
Time was against them. Manual review would take months. Worse, missing one critical thread of evidence could mean sanctions, case dismissal, or—even worse—a failed outcome for the class. With opposing counsel pressing aggressively and the court imposing strict deadlines, the litigation team deployed aiMDC.
In under 72 hours, aiMDC combed through terabytes of discovery material. It flagged a buried report from a regional manager referencing known product risks—tied directly to a concealed compliance memo from a year earlier. That one connection became a linchpin in the legal strategy. With traceable insights and source-mapped references, the firm protected the case, shaped its argument, and avoided what could have been a catastrophic collapse under procedural failure.
Client
Environment
Objective
To surface key internal communications, legal exposure, and risk signals within massive discovery files—accurately and quickly—while avoiding the loss of critical evidence or court sanctions
What was done
aiMDC was deployed to analyze emails, contracts, compliance documents, and legal memos simultaneously. It highlighted patterns of internal knowledge, inconsistencies, and overlooked disclosures—providing the team with fully referenced, source-linked findings in record time
Achievement
aiMDC identified critical internal documents that had evaded earlier manual review—including a compliance memo that directly contradicted the defendant’s court position. This single thread shifted the tone of negotiations and prevented the litigation team from missing a pivotal argument. The AI enabled a fully audit-traceable evidence trail, shielding the firm from procedural risk while drastically accelerating the review timeline. As lead counsel noted, “We were facing an evidence cliff. aiMDC didn’t just catch us—it built the bridge. Without it, we’d have missed what made the case.”
What happens next…
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‘To protect client confidentiality, certain details have been modified; this case study is intended to illustrate the capabilities of aiMDC’
