Resposta a DSAR e
Direitos de Dados

Challenge:

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.

Challenge:

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.

• 3 Months

  Regulatory deadline met with no delays.

Challenge:

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.

Challenge:

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.

Challenge:

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.

Challenge:

A major ransomware incident. 22 million structured records with PII and PHI exposed. Three weeks to figure out who was affected and meet federal and state notification requirements.

Outcome:

Lineal delivered a precise breach assessment within the deadline. Defensible, regulator-ready output. Reduced class-action exposure through accurate identification of affected individuals.

• 22M+

  Structured records processed containing PII and PHI.

• 3 Weeks

  Regulatory notification deadline met with defensible output.

• 0

  Large-scale manual review required. Automated detection throughout.

Challenge:

90,000 records. A confidential matter. No cloud, no remote access, no exceptions. Every byte had to stay on-site. The client needed a defensible review workflow that could work entirely within their walls.

Outcome:

Lineal reduced the dataset by 88% on-site, saving 1,580 attorney hours and approximately $158K. Not a single byte left the facility.

• 88%

  Dataset reduced. 90,000 records culled to 11,000 for review.

• 1,580 Hours

  Attorney review time saved through targeted filtering and culling.

• ~$158K

  Cost savings from eliminating unnecessary manual review.