ClauseAI

ClauseAI's NLP-based contract analysis engine worked well on born-digital documents but failed on 40% of incoming contracts that arrived as scanned PDFs, photographed pages, or legacy formats with complex table structures. Critical terms buried in tables, exhibits, and handwritten amendments were missed entirely. This accuracy gap prevented ClauseAI from serving regulated industries where extraction completeness is non-negotiable.

Mixpeek's document processing pipeline handles every contract format through modality-specific feature extractors that understand document layout, table structures, handwritten annotations, and embedded stamps or signatures. The extracted content is enriched through a legal taxonomy that maps clauses to standard categories (indemnification, limitation of liability, change of control, etc.), enabling structured comparison across contract portfolios.

ClauseAI replaced their OCR preprocessing step with Mixpeek's collection-based pipeline. Contracts uploaded by end users are routed to a Mixpeek bucket, processed through extraction and taxonomy enrichment, and returned as structured clause objects. The migration from the legacy system was completed in five weeks. A parallel-run validation period confirmed that Mixpeek matched or exceeded the legacy system on all document types.