Case Study: Ontra achieves 66% faster, more accurate legal document annotation with Datasaur’s NLP labeling

Ontra Achieves Milestone Accuracy in Legal Document Annotation with Datasaur’s NLP Labeling

Ontra, a leader in contract automation and management, faced growing annotation complexity as spreadsheet-based, manual workflows caused re‑annotations, delays, and inconsistent quality. To scale efficiently and maintain high accuracy, Ontra partnered with Datasaur and adopted Datasaur’s NLP labeling platform.

Datasaur deployed its intuitive labeling interface, Reviewer Mode QA tools, automation features, and an API-based AWS integration to automate project creation and export. As a result, Ontra expanded labeling throughput by 6x, reduced labeling time by 66% (shortening project timelines from roughly a year to three–four months), improved data quality and IAA metrics, and established a secure, end‑to‑end automated pipeline.

Ontra