Seven countries. Nine languages. 8.6 million documents. A competition law audit that traditional review could not finish in time.
Outcome:
Audit completed on time. Out of 8.6 million documents loaded, only 87,000 required human review. Defensible, regulator-ready results across every jurisdiction.
8.6M
Documents loaded across seven countries and nine languages.
~87K
Documents actually reviewed. A fraction of the total population.
7 Countries, 9 Languages
Consistent, defensible relevance determinations across every jurisdiction.
A major global bank faced an AML investigation requiring review of 12+ million documents under a strict 3-month deadline. High-risk data patterns needed precise identification, and the cost of a traditional review approach was not an option.
Outcome:
Lineal reduced review volume by 97%. Fewer than 3% of documents required manual assessment. Deadline met, defensible results delivered, fixed fee.
97%
Review volume reduced with less than 3% of documents touched by human reviewers.
12M+
Documents processed using AI-powered categorization and clustering.
A Fortune 100 pharmaceutical company needed to review a large, complex document population under litigation pressure. Traditional first-pass review models would have been too slow, too expensive, and too inconsistent.
Outcome:
Lineal eliminated first-pass review entirely. Over 95% of the document population was reduced before a human reviewer saw a single document. Full defensibility maintained.
95%+
Review volume reduced before human review began.
70%
Additional reduction post-Amplify™ through AI-assisted relevance assessment.
100%
Defensible decisions with documented, SME-governed coding logic.
52,795 FBI-provided documents for the Andrade criminal investigation. A status conference deadline. The case team needed to move beyond linear review and organize the full universe by concept.
Outcome:
Amplify™ tools covered 98% of the document universe. Textual Near Duplicate Identification handled 68%. Lineal Images addressed the remaining 30% of image file types. Deadline met.
52,795
FBI-provided documents reviewed for the status conference.
68%
Document universe addressed by Textual Near Duplicate Identification.
30%
Image file types addressed by Lineal Images classification.
3 million documents from 140+ custodians, transferred from a previous vendor. The data needed to be verified for completeness, then the legal team needed a fast path to the evidence that mattered.
Outcome:
The full Amplify™ Suite of Tools cut through the volume. Email threading, BotDetector, PrivFinder, Snippets, and Lineal Images each took a layer off until the legal team had a clear path to relevant evidence.
3M
Documents processed from 140+ custodians.
641,098
Documents reduced through email threading alone.
731,681
Documents ring-fenced for targeted privilege review with PrivFinder.
From Projects to Operations: The Evolution of eDiscovery Managed Services
Why eDiscovery is shifting from project-based engagements to continuous operations, and what that means for cost predictability, defensibility, and AI.
人工智能与分析
托管服务
AI-Native Business Will Change the Evidence Landscape
What ACC Legal Operations and CLOC 2026 made clear: as businesses go AI-native, the evidence landscape changes. Marco Nasca on what comes next.
人工智能与分析
调查
Modern Attachments in eDiscovery: What Your Collection Strategy Is Probably Missing
Modern attachments in Microsoft 365 aren’t traditional attachments. See how the version, linking, and case law gaps reshape eDiscovery collection strategy.
