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.
The Compliance Blind Spot: Finding Risk Before It Finds You
Most compliance teams stay reactive because a spot-check gets treated like a full investigation. See how managed eDiscovery makes proactive testing affordable.
合规
调查
Reading Data, Not Documents: Metadata in Digital Investigations
A contract dated January was created in March. Metadata proves it. How to preserve the evidential layer before collection or conversion strips it away.
数字取证
调查
The Law Firm That Never Forgets
Institutional judgment, not AI tools, will be the next competitive edge in legal. Why the firms that preserve and share experience will win.
