Google Opens Deep Review to Everyone With 2 Free Reviews a Week

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Key Takeaways: Deep Review
Open to everyone: Google released Deep Review publicly on October 14, and it is accessible worldwide.
2 free reviews a week: every user gets two free document reviews per week. A Gemini API key unlocks higher limits and API access.
Finds the hard stuff: it checks logic and math, suggests improvements, grounds facts and compares your work with existing research.
Your files stay out of training: Google says uploaded documents are never used to train its models, and are stored for one year so you can see them in Deep Review.

Google has opened up Deep Review, its AI tool that reads long technical documents and points out logic gaps, math mistakes and weak claims. In its Google Research announcement on October 14, Google says the tool is now available worldwide, with two free reviews a week for every user.

What Deep Review does

A second pair of eyes: Deep Review checks a document for logical consistency and mathematical statements, suggests improvements, grounds facts, and compares the work with existing research. Google says it leaves the higher-level judgment calls to humans.

Not just for papers: it started with computer science research papers, but Google says it can now help with design documents, presentations, and legal or financial documents. For example, it can spot unstated assumptions in a design doc, or check that slide takeaways match the charts.

Powered by Gemini 4 Argon: Google says Gemini 4 Argon support is rolling out to Deep Review and improves the quality of its feedback. FrameSignal reports that the free reviews run on Gemini 4 Argon at a medium effort setting, and that you sign in with a Google account.

Free reviews, limits and formats

WhatDetails
Free useYes Two document reviews per week for every user
More reviewsConnect your Gemini API key for higher limits and the Deep Review API
PDF and plain textYes Supported at launch
Multiple files at onceComing soon

Privacy: Google says documents you upload are never used to train, fine-tune or improve its models. They are stored for one year only so they can be shown to you in the Deep Review interface.

Why Google built it

Too many papers, too few reviewers: Google says three big AI conferences (ICLR, NeurIPS and ICML) got over 74,000 submissions this year, up from about 45,000 in 2025 and 23,000 in 2023. Human reviewers cannot keep up with that pace.

Bar chart of AI conference submissions from 2023 to 2026
Submissions to NeurIPS, ICML and ICLR have grown fast since 2023. Image: Google

Tested at real conferences: before launch, Deep Review ran as the Paper Assistant Tool at STOC 2026, ICML 2026, NeurIPS 2026 and ICLR 2027. More than 16,000 manuscripts got private, opt-in feedback before submission. The feedback was separate from the official review process.

Not perfect: FrameSignal notes that in the conference trials, some authors said the tool sometimes flagged correct proofs as wrong. So treat its feedback as a helpful check, not the final word.

Deep Review pilot results table
Survey results from the pilots at STOC, ICML, NeurIPS and ICLR. Image: Google

How it works

Four steps: Deep Review splits your document into sections, gives more computing power to dense parts like math proofs, checks every section in parallel with specialized agents, and then combines the results with a final consistency and fact check.

Deep Review four-stage pipeline
The four-stage pipeline: segmentation, adaptive budgeting, parallel verification and global synthesis. Image: Google

For Antigravity users: Google also added a document review pattern inspired by Deep Review to Antigravity, which you can start with the /teamwork-preview command.

Our take: two free reviews a week is enough for students, researchers and anyone writing a spec or proposal to try it on real work. It runs on the web, so a Chromebook or any computer with Chrome is all you need.

New to the model behind it? Read our Gemini Argon guide.


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Sophie is a Chicago-based editor for Chrome Geek covering Chromebooks, Gemini, and the Google ecosystem. When she is offline, you can usually find her watching Blackhawks hockey or grabbing iced coffee in the city.