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EDRM Lifecycle for Matter 001

Legal E-Discovery Operations Dashboard

Processing Timeline (Weeks 1-8)

Current matter workflow sequencing from collection through production prep.
W1
W2
W3
W4
W5
W6
W7
W8
Custodian Interviews
Collection
Processing
Loading & Indexing
Preparing Analytics Workflow
Iterative Review
Productions
Number of Sources Collected
12
Total Documents Collected
549,911
Subtotal Processing Errors
12,486
Docs Excluded from Analytics Index & Require Manual Review
8,214
Password-protected files, malformed items, embedded objects, and exception documents.
Total Documents in Review
87,432

Parent Document Dates (Family Complete)

Mar 2021 Jun 2026
Documents Needing Privilege or Redaction Review
13,900
Approx. 20% of the 69,500 documents reviewed to date require privilege or redaction handling.
Docs Excluded from Analytics Index & Require Manual Review
8,214
Separate bucket for password-protected files, malformed items, embedded objects, and exception documents.
Remaining Review Queue / Forecast
17,932
69,500 of 87,432 reviewed. At ~752 docs/day team velocity, estimated completion is about 24 working days.

EDRM Funnel Visualization

Collection 549,911
↓ 76.6% Retained
Processing 421,580
↓ 20.7% to Review
Review 87,432
↓ 16.2% Produced
Production 14,206
Overall Throughput: 2.6%

Privilege Review Progress

87,432 Total Docs
  • Reviewed Complete: 44,590 (51%)
  • In Active Review: 11,646 (13.3%)
  • QC Hold: 8,892 (10.2%)
  • Escalated: 4,372 (5.0%)
  • Pending Queue: 17,932 (20.5%)

Source Collection Mix

12 Total Sources
  • Email: 4 (33.3%)
  • Chat: 2 (16.7%)
  • Network Drives: 3 (25.0%)
  • Cloud Files: 2 (16.7%)
  • Mobile: 1 (8.3%)

Risk & Performance Alerts

Critical Issue: Reviewer F
Operating at 8 Docs/Hr (below 10 threshold) with a 14.2% QC overturn rate and 78 accuracy.
Recommended Action: Halt review and assign to remediation training immediately.
Warning: Reviewer D
Operating at 9 Docs/Hr with a 12.5% QC overturn rate and 82 accuracy.
Recommended Action: Conduct 1-on-1 review of QC overturned documents to recalibrate coding.

Reviewer Performance Metrics

Avg Docs/Hr: 15.7
Avg Accuracy: 89.7
Daily Review Rate: ~752 docs/day
Team QC Risk: Moderate
Reviewer Code Documents Reviewed Docs per Hour QC Overturn Rate % Accuracy Score
A 15,200 22 2.1% 98
B 18,100 25 3.5% 96
C 12,500 18 8.2% 90
D 8,400 9 12.5% 82
E 9,200 12 4.1% 94
F 6,100 8 14.2% 78

QC Review Analysis

15% 10% 5% 0%
2.1%A
3.5%B
8.2%C
12.5%D
4.1%E
14.2%F

Reviewers D and F sit well above the 10% overturn threshold and should remain under elevated QC supervision.

AI Scoring & Tagging Consistency

Mean AI Confidence
91.4%
Tagging Consistency
96.8%
Suggested Tag Acceptance
84.2%
Responsiveness
97.2%
Issue Tags
95.9%
Privilege Calls
93.1%
Redaction Tags
89.4%

Consistency is strongest on responsiveness and issue coding; privilege and redaction tags remain the main areas requiring second-pass validation.

MD5 Hash Conflicts

Total Conflicts Flagged
1,284
Resolved by Dedupe Rules
1,021
Family Exceptions
216
Open QC Validation
47

MD5 conflicts sit within the broader processing-exception population and require family-aware validation before final deduplication and production.

AI vs Human Review Analysis

Overturned AI Calls: 3.2% (2,847 docs)
1,950
False Privilege Claims
897
Missed Privilege

* Insight: High false privilege claims indicate aggressive AI tagging rules; targeted recalibration recommended.