OpenAI has published a case study describing how Legora, a platform aimed at legal and financial professionals, used the GPT-6 Astra model for a document review exercise. According to the details shared, the tool reviewed 41 financial documents within minutes and identified all four errors that had been deliberately planted in the test set.
OpenAI also cites a performance improvement of nearly 40% for this specific workflow, though the exact metric behind that figure—whether processing speed, detection accuracy, or something else—is not specified. No further technical details about the GPT-6 Astra model itself are included in the available material.
This kind of case study is typical of OpenAI's communications strategy, highlighting practical applications of its models in high-stakes sectors such as finance and law, where speed and reliability in document analysis carry significant weight.