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Automating data extraction at up to 180x faster speeds

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LegalEase Solutions

July 10, 2026

2 min read

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How LegalEase Solutions automated structured data extraction across 1,200+ compliance documents using AI extraction models and high-volume batch processing.
11 structured data fields
across two document types
5x upload capacity
enabled through Drive integration
0.24-0.36 sec
average extraction time per field

Challenge

The team needed to extract payment and KYC information from more than 1,200 compliance documents across two distinct document types.

The work initially relied on manual extraction, which took approximately 45 seconds per field and required significant effort across large document volumes.

To accelerate the process, the team adopted an AI-powered extraction platform. While this substantially reduced extraction time, the platform was limited to uploading 100 documents per project, requiring multiple upload cycles to process the full document set.

The team needed a scalable workflow that could support high-volume processing while delivering structured outputs for downstream QC review.

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Metric Before After
Extraction method Manual extraction AI-powered extraction models
Extraction time ~45 sec per field 0.24–0.36 sec per field
Data extracted Manual extraction of payment and KYC information 11 structured data fields across two document types
Output Manual extraction for downstream processing Structured outputs delivered directly for QC review
Scale Manual extraction with multiple upload cycles 1,200+ documents processed through an automated workflow

Solution

LegalEase Solutions developed two purpose-built AI extraction models on its extraction partner platform:

  • A five-field model for payment information from service documents.
  • A six-field model for contact information from KYC documents.

To remove the upload bottleneck, LegalEase Solutions implemented Drive integration, increasing upload capacity from 100 documents per project to 500 documents per batch. This reduced manual uploads and enabled larger document volumes to move through the extraction workflow more efficiently.

Outcome

More than 1,200 documents were processed through the automated workflow.

The engagement:

  • Automated extraction of 11 structured data fields across payment and KYC documents.
  • Reduced extraction time from approximately 45 seconds per field manually to 0.24-0.36 seconds per field using the extraction platform.
  • Increased upload capacity 5x, from 100 documents per project in first platform automation to 500 documents per batch, making the workflow scalable for high-volume processing.

The result was a repeatable extraction workflow that combined AI-powered data extraction with batch processing to reduce manual effort and streamline downstream review.

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