Who should use the Redact sensitive data workflow?
Teams or solo builders working on finance & legal tasks who want a repeatable process instead of one-off tool experiments.
Execution Map
5-step pipeline — follow each step in order
1Setup · Step 1 of 5
Open task pageExtract contract metadata
Prepare inputs and settings through Extract contract metadata before running redact sensitive data.
Why this matters
Extract contract metadata sets up the foundation for redact sensitive data; clean inputs here reduce downstream rework.
What you get
Inputs, context, and settings are ready so the workflow can move into execution without blockers.
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2Core · Step 2 of 5
Open task pageRedact sensitive data
Execute redact sensitive data with Redact sensitive data to produce the primary decision-ready insight.
Why this matters
This is the core step where redact sensitive data actually happens, so it determines baseline quality for everything after it.
What you get
A first-pass decision-ready insight is generated and ready for refinement in the next steps.
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3Input · Step 3 of 5
Open task pageEnsure regulatory compliance
Use Ensure regulatory compliance to build supporting assets that improve redact sensitive data quality.
Why this matters
Ensure regulatory compliance strengthens redact sensitive data by feeding better supporting material into the pipeline.
What you get
Supporting assets from ensure regulatory compliance are prepared and connected to the main workflow.
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4Refine · Step 4 of 5
Open task pageConduct legal research
Refine and validate redact sensitive data output using Conduct legal research before final delivery.
Why this matters
Conduct legal research adds quality control so issues are caught before the workflow is finalized.
What you get
The decision-ready insight is improved, validated, and prepared for final delivery.
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5Deliver · Step 5 of 5
Open task pageAutomate legal workflows
Package and ship the output through Automate legal workflows so redact sensitive data reaches end users.
Why this matters
Automate legal workflows is what turns intermediate output into a usable, publishable result for real users.
What you get
A finalized decision-ready insight is ready for publishing, handoff, or integration.
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