Docusign AI Team

Running a frontier model on every document doesn't scale at 1M+ documents a day. In part two of our series on how Docusign processes agreements at scale, we cover how we trained a smaller, faster model to match — and in production, beat — the accuracy of the larger model it replaced, at a fraction of the cost.

Docusign's AI engine processes over a million agreements a day, extracting more than 50 data points per document at sub-cent inference cost. This is the first post in a four-part series on how we built that pipeline, starting with the orchestration architecture that routes every document through pre-processing, model inference, and validation at enterprise scale.