Document index CSV
textareaRequired input
Profiles document rows for matter relevance and privilege indicators to prepare a counsel review queue. It prepares a human review decision with rationale and risk flags; it never makes the final call automatically.
Profiles document rows for matter relevance and privilege indicators to prepare a counsel review queue.
Profiles document rows for matter relevance and privilege indicators to prepare a counsel review queue.
E-Discovery Document Classifier is a ready-to-run Noderan marketplace workflow for data & intelligence teams. It helps users move from a manual process to a repeatable automation with visible credit cost and app-based execution.
Short answers for activation, pricing, inputs, and execution review.
Required input
Csv
item,status,score Email re contract,review,70 Newsletter blast,ready,15 Board memo,review,85{
"csv": "item,status,score\nEmail re contract,review,70\nNewsletter blast,ready,15\nBoard memo,review,85"
}Row Count
3Column Count
3Headers
Findings
Preview Rows
1 structured item
{
"rowCount": 3,
"columnCount": 3,
"headers": [
"item",
"status",
"score"
],
"findings": [
"Document rows classified for relevance with privilege candidates flagged.",
"Parsed rows are ready for operator review"
],
"previewRows": [
{
"item": "Example",
"status": "review",
"score": "72"
}
]
}Review the workflow and expected credit cost.
Connect the tools or inputs required for execution.
Run the workflow and inspect outputs in the app history.
Start with the outcome. Inspect the proposed steps, scope, and estimate before connecting tools or running live.