Google has publicly released Deep Review, an agentic artificial intelligence system designed to analyze and verify complex technical documents. The system evolved from Google's Paper Assistant Tool (PAT), which was tested in partnerships with major computer science conferences including STOC, ICML, NeurIPS, and ICLR, where it provided feedback on over 16,000 academic manuscript submissions. Deep Review extends beyond academic papers to support analysis of legal documents, financial agreements, and other knowledge-based materials in formats including PDFs, Google Docs, and presentations. The release addresses what Google researchers call a "validation bottleneck"—the gap between the accelerating pace of AI-generated content and the limited human capacity to review it rigorously. Academic submissions to major AI conferences have tripled in three years, jumping from approximately 23,000 in 2023 to over 74,000 in 2026, placing significant strain on peer reviewers. Deep Review aims to alleviate this burden by automating preliminary verification tasks while preserving human judgment for higher-level analysis, checking logical consistency, mathematical accuracy, and cross-referencing claims against existing work. Google is offering free access to two document reviews per week for all users, with higher-volume workflows available through API integration using a user's Gemini API key. The system employs a four-stage agentic pipeline that segments documents into logical sections, enabling deeper analysis of complex dependencies and nuanced claims. The company has committed that uploaded documents will not be used for model training or fine-tuning and will be retained for only one year.