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Project Description

ACL – Data Extraction was developed to automate the parsing of complex legal documents and extract structured data points like clauses, obligations, and entities. Oodles implemented a custom NLP pipeline tailored for legalese and integrated it into a review interface for human validation.

Scope Of Work

The client needed a system to process thousands of ACL documents, extract relevant clauses, and export structured datasets. Accuracy, reviewability, and export flexibility were key requirements.

Our Solution

  • Built text extraction pipeline using Python and spaCy with legal-specific models
  • Implemented clause tagging and metadata association
  • Created a review UI for legal teams to validate extracted data
  • Enabled export in CSV, JSON, and XML formats for downstream systems
  • Integrated OCR for scanned document support
  • Added versioning and audit trails for data revisions

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