OpenAIReview is an open-source, AI-assisted reviewing tool from the University of Chicago's Human+AI (CHAI) Lab, built to give any researcher high-quality paper feedback "for less than the cost of a coffee". It takes a full paper (PDF, markdown or LaTeX), processes it sequentially while building a running summary of claims, definitions and equations, and returns comments each tied to a quoted passage. Explicitly designed for formative feedback (reviewing for quality), not gatekeeping (accept/reject). Covered in Chris Leonard's Scalene newsletter.
Benefits & outcomes
Open source in a field where nearly every AI review tool is proprietary.
Every comment anchored to a quoted passage, so authors can trace the feedback.
Team exploring claim verification rather than relying on author-reported results.
Notes & quotes
UChicago Data Science Institute write-up: https://datascience.uchicago.edu/insights/openaireview/
Via Scalene: https://scalene-peer-review.beehiiv.com/
Publisher / company: OpenAIReview (open source)
Date of mention: 18/07/2026
Source: https://openaireview.github.io