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eDiscovery & Document Review

Responsive Document Coding

Code documents for responsiveness based on defined criteria, achieving 70-85% reduction in coding time with consistent application.

Time Saved

70-85% reduction in coding time

Accuracy

Consistent application of coding criteria

Category

eDiscovery & Document Review

The Problem

  • Volume of documents requiring coding decisions
  • Cost of reviewer time
  • Inconsistency across reviewers
  • Training and quality control burden
  • Time pressure for production

How Claude Helps

Analyzes documents against issue definitions, codes responsive/non-responsive, assigns relevance to specific issues, flags documents for human review, and provides coding rationale.

Step-by-Step Workflow

1

Define responsiveness criteria

Define responsiveness criteria including issues, date range, and custodians

2

Process document set

Process document set through Claude for coding

3

Review coding results

Review Claude's coding results for accuracy

4

QC sample

QC sample for accuracy and adjust criteria if needed

5

Adjust criteria

Adjust criteria based on QC findings

6

Finalize coding

Finalize coding for production

Example Prompt

Code this document for discovery in the Software License Dispute:

RESPONSIVENESS CRITERIA:
- Date Range: January 2022 - December 2024
- Custodians: John Smith, Jane Doe, Technical Team
- Issues:
  1. License scope and usage rights
  2. Actual software usage
  3. Breach knowledge
  4. Damages and remediation

CODE AS:
- RESPONSIVE: Relates to one or more issues
- NON-RESPONSIVE: No relation to case issues
- POTENTIALLY RESPONSIVE: Uncertain, needs human review

FOR RESPONSIVE DOCUMENTS:
- List applicable issues (by number)
- Rate relevance (Hot / Relevant / Background)
- Note if key document

PROVIDE:
- Coding decision
- Rationale (2-3 sentences)
- Issues addressed
- Relevance rating
- Recommendations for human review

Frequently Asked Questions

How does this compare to TAR?

Claude provides similar efficiency gains with potentially more flexible criteria definition. Both require human QC.

Can Claude learn from human corrections?

Within a session, Claude adapts to your feedback. Across sessions, refine your criteria based on QC results.

What about multi-language document sets?

Claude handles major languages. Specify expected languages in your criteria.

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