Terabytes of Risk - Modern Document Review

Modern litigation produces document volumes that cannot be manually reviewed. E-discovery professionals deal with terabytes of data per matter, with 5 million+ documents in mega-litigation cases.

5M+
Documents in mega-litigation
950
Person-years for manual review
5,000
Files per batch
99%
Processing time reduction

The Volume Problem

E-discovery has transformed legal practice. What was once boxes of paper is now terabytes of electronic data. Document production deadlines are court-ordered. Missing them triggers sanctions and case-altering consequences.

  • Volume overwhelming - Terabytes per matter, millions of documents
  • Deadline pressure - Court-ordered deadlines with sanctions for failure
  • Consistency impossible - Reviewer fatigue creates inconsistent redactions
  • Cost explosion - Contract reviewers at $50/hour, scaling linearly with volume

Document Volumes by Matter Size

Small case

10,000-50,000 documents

Medium case

50,000-500,000 documents

Large case

500,000-5,000,000 documents

Mega-litigation

5,000,000+ documents

5 million documents at 20 minutes each equals 1.9 million hours - that is 950 person-years of work.

Am Law 100 Document Production

A major law firm handling bet-the-company litigation received a production request for 2 million documents with a 60-day deadline. Even with 100 contract reviewers working full-time, it was barely achievable.

Cost: $2 million for review alone. Consistency: impossible across 100 reviewers.

Discovery Sanctions

A party unable to redact and produce documents within deadline faced $500,000 in sanctions plus adverse inferences that essentially decided the case.

Batch Processing at Scale

cloak.business handles e-discovery volumes with parallel processing:

Batch Processing Capabilities

Files per batch
1-5,000
File types
PDF, DOCX, XLSX, CSV, JSON, XML, TXT
Processing
Parallel execution
Progress
Real-time status updates
Output
Anonymized files + detailed report

Workflow Integration

  1. 1Export from review platform (Relativity, Everlaw, Logikcull)
  2. 2Batch upload - drag-and-drop up to 5,000 files
  3. 3Configure rules - entity types, anonymization method, confidence threshold
  4. 4Process with parallel processing and progress indicator
  5. 5Review summary - audit report of detections per file
  6. 6Re-import redacted documents back to review platform

Performance Comparison

Batch SizeProcessing Time
100 files2-5 minutes
500 files10-20 minutes
1,000 files20-40 minutes
5,000 files1-3 hours

1,000 documents: 30 minutes vs. 250-500 hours manual

Key Takeaways

  • Manual review cannot scale - 950 person-years for mega-litigation is not viable
  • Consistency is legally required - Inconsistent redactions create discovery disputes
  • Audit trails are essential - Courts require documentation of redaction methodology
  • Batch processing transforms economics - 30 minutes vs. 500 hours per 1,000 documents
  • Integration matters - Must work with existing e-discovery platforms

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