Contract Review Suite
ORA accelerates institutional contract review by delivering structured, AI-powered redlines for CTAs, CDAs, RAs, and DUAs.
The Problem
Clinical research offices at academic medical centers process high volumes of complex agreements — Clinical Trial Agreements, Confidential Disclosure Agreements, Revenue Agreements, and Data Use Agreements — each carrying significant institutional, legal, and compliance exposure. Manual review is slow, inconsistent, and resource-intensive. Errors or delays in this process create downstream risk for research timelines, sponsor relationships, and institutional liability. The status quo treats expert legal staff as a first-pass filter when their time belongs at the decision layer.
The Approach
ORA is a contract intelligence tool purpose-built for the clinical research contracting workflow. It accepts uploaded contract documents, performs context-aware analysis calibrated to the specific agreement type, and produces structured redlined output that flags problematic clauses and surfaces recommended revisions. The tool handles the full scope of agreement types used in university-sponsored research — CTAs, CDAs, RAs, and DUAs — including sub-type variations within each category. ORA operates as a pre-review layer that delivers consistent, document-level analysis before human experts engage. It does not replace legal judgment. It eliminates the manual first pass, compresses review cycles, and gives institutional staff a structured starting point rather than a blank page.
What We Built
- Automated redlining of clinical trial contracts with clause-level revision output across CTAs, CDAs, RAs, and DUAs
- Contract type detection with agreement-specific analysis calibrated to sub-type variations within each category
- Support for multi-section documents with automatic handling of full-length institutional agreements
- Live browser-based interface accessible to authorized staff without local installation or technical setup
- Production-grade monitoring and evaluation across all four readiness dimensions — performance, security, cost, and model stability — each at full score
Status
In final testing