Who should use the Clause Extraction workflow?
Teams or solo builders working on finance & legal tasks who want a repeatable process instead of one-off tool experiments.
AI Workflow · Finance & Legal
Practical execution plan for clause extraction with clear steps, mapped tools, and delivery-focused outcomes.
Deliverable outcome
A finalized document output is ready for publishing, handoff, or integration.
30-90 minutes
Includes setup plus initial result generation
Free to start
You can swap tools by pricing and policy requirements
A finalized document output is ready for publishing, handoff, or integration.
Use each step output as the input for the next stage
Step map
Instead of relying on a single generic AI model, this pipeline connects specialized tools to maximize quality. First, you'll use Klarity to inputs, context, and settings are ready so the workflow can move into execution without blockers. Then, you pass the output to LegalFly to supporting assets from automated redlining are prepared and connected to the main workflow. Then, you pass the output to AQR Capital Management to supporting assets from alternative data extraction are prepared and connected to the main workflow. Then, you pass the output to Legally AI to a first-pass document output is generated and ready for refinement in the next steps. Then, you pass the output to AutoEntry to the document output is improved, validated, and prepared for final delivery. Finally, eBrevia is used to a finalized document output is ready for publishing, handoff, or integration.
Legal Clause Extraction
Inputs, context, and settings are ready so the workflow can move into execution without blockers.
Automated Redlining
Supporting assets from automated redlining are prepared and connected to the main workflow.
Alternative Data Extraction
Supporting assets from alternative data extraction are prepared and connected to the main workflow.
Clause Extraction
A first-pass document output is generated and ready for refinement in the next steps.
OCR Extraction
The document output is improved, validated, and prepared for final delivery.
Contract Extraction
A finalized document output is ready for publishing, handoff, or integration.
Prepare inputs and settings through Legal Clause Extraction before running clause extraction.
Legal Clause Extraction sets up the foundation for clause extraction; clean inputs here reduce downstream rework.
Inputs, context, and settings are ready so the workflow can move into execution without blockers.
Use Automated Redlining to build supporting assets that improve clause extraction quality.
Automated Redlining strengthens clause extraction by feeding better supporting material into the pipeline.
Supporting assets from automated redlining are prepared and connected to the main workflow.
Use Alternative Data Extraction to build supporting assets that improve clause extraction quality.
Alternative Data Extraction strengthens clause extraction by feeding better supporting material into the pipeline.
Supporting assets from alternative data extraction are prepared and connected to the main workflow.
Execute clause extraction with Clause Extraction to produce the primary document output.
This is the core step where clause extraction actually happens, so it determines baseline quality for everything after it.
A first-pass document output is generated and ready for refinement in the next steps.
Refine and validate clause extraction output using OCR Extraction before final delivery.
OCR Extraction adds quality control so issues are caught before the workflow is finalized.
The document output is improved, validated, and prepared for final delivery.
Package and ship the output through Contract Extraction so clause extraction reaches end users.
Contract Extraction is what turns intermediate output into a usable, publishable result for real users.
A finalized document output is ready for publishing, handoff, or integration.
§ Before you start
Teams or solo builders working on finance & legal tasks who want a repeatable process instead of one-off tool experiments.
No. Start with the top pick for each step, then replace tools only if they do not fit your pricing, compliance, or output needs.
Open the mapped task page and compare top options side by side. Prioritize output quality, integration fit, and predictable cost before scaling.
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