Responsive Document Coding
Code documents for responsiveness based on defined criteria, reducing manual coding effort with consistent criteria application.
ClaudeOpenAIVaries by coding taxonomy complexity and sample-review depth; validate with pilot metrics.
Consistent application of coding criteria
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 AI Supports This Workflow
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
Define responsiveness criteria
Define responsiveness criteria including issues, date range, and custodians
Process document set
Process document set through Claude for coding
Review coding results
Review Claude's coding results for accuracy
QC sample
QC sample for accuracy and adjust criteria if needed
Adjust criteria
Adjust criteria based on QC findings
Finalize coding
Finalize coding for production
Tool-specific Steps
Code this document set for responsiveness against the case issue list and custodian/date constraints. Output: coding decision, issue tags, and QC sample recommendations.
When to escalate
- Escalate if coding criteria conflict or issue definitions are ambiguous.
- Escalate if QC samples show material divergence from required precision/recall targets.
Do This Now
- Choose your tool tab and copy the prompt.
- Run the workflow and review the top legal risks first.
- Compare output against your matter facts before sharing.
- Escalate to attorney review when any escalation check is triggered.
- Save your final notes and move to the related tutorial for deeper practice.
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.