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ACL - Data Extraction
LANCERLancer :
Ideal for quick, focused engagements
Team: ≤ 2 resources
Duration: ≤ 3 weeks
Indicative Budget: ≤ $3,000 USD*
Use Cases: MVPs, prototypes, simple websites, bug-fix sprints
Indicative Pricing: ~$15–$25/hr per resource*
Growth :
Best suited for growing products or structured builds
Team: 2–5 resources
Duration: Up to 4 months
Indicative Budget: Up to $30,000 USD*
Use Cases: Feature-rich web apps, integrations, custom dashboards
Indicative Pricing: ~$15–$35/hr per resource*
Enterprise :
Tailored for high-scale, complex or long-term initiatives
Team: 5+ resources
Duration: More than 4 months
Indicative Budget: Starts from $30,000+ USD*
Use Cases: End-to-end platforms, SaaS products, compliance-heavy systems
Indicative Pricing: ~$25–$50/hr depending on roles*
Technologies Involved:
Javascript
XML
Area Of Work:
Native Apps
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