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OpenAI details Legora’s first-pass contract review

A new case study describes AI flagging terms against a legal team’s playbook.

An accordion-folded paper rulebook and loose sheets on a plum desk, with a translucent purple plane over a sheet bearing amber tabs and an empty chair behind.
CurioFuse · AI-generated illustration

OpenAI’s October 28 case study describes how Legora’s legal team analysed previously signed agreements and built a playbook: a set of acceptable terms. Legora then makes an initial review of incoming nondisclosure agreements, flagging departures from those parameters. In acquisition due diligence, agents begin reviewing contracts and surfacing information, while lawyers review and interpret the output. These are accounts presented by the provider and its customer.

Legora’s product documentation explains the mechanics of its Tabular Review tool. Documents imported from a document management system, internal repository or virtual data room become table rows; prompts become columns. Users can specify formats, filter and sort the resulting information. Opening a cell reveals its reasoning and source documents, giving the reviewer a route back to the material behind an answer. Colleagues can be invited to collaborate in real time, with controls for marking reviewed content, locking cells and using a review mode.

OpenAI also documents a Legora plugin for ChatGPT. It supports legal questions and research scoped to a jurisdiction where Legora’s research capabilities are available. Responses include text and links back to Legora for checking citations and sources. Its example for a nondisclosure agreement supplies clause text and a jurisdiction, then asks about risks, business impact and questions for counsel. Access depends on the plugin, subscription plan and workspace settings; some connections require an administrator’s setup or approval.

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