Cubby запускает платформу для профессоров, превращающую AI в персонального ассистента для каждого студента юридического факультета

Cubby's largest release yet turns each professor's course into an AI teaching assistant that teaches, tests, and grades their way, and gives every student the practice and feedback of one-on-one instruction NEW YORK, Sept. 03, 2026 (GLOBE NEWSWIRE) -- Cubby, the AI teaching assistant for law school students, today announced its largest release to date: a rebuilt version of its student platform and the launch of Cubby for Professors, a new product that lets law faculty deploy AI in their classrooms on their own terms. This fall, professors at more than 20 universities, including Emory University School of Law, Wake Forest University School of Law, The University of Texas School of Law, Case Western Reserve University School of Law, and Quinnipiac University School of Law, are bringing Cubby into their courses. The launch comes as law schools nationwide grapple with how to respond to AI. Students are already using general-purpose chatbots to study, often with unreliable results, while faculty have lacked tools that put them in control of how AI shows up in their courses. Cubby for Professors is built to close that gap: it gives every professor a teaching assistant built for their course, one that drafts practice questions and fact patterns in their style, grades against their rubric, and delivers feedback in their voice. Nothing reaches a student until the professor approves it. "Legal education runs on a single data point: one exam, one grade, and months of silence in between," said Cubby Founder and CEO Truman Sacks. "Professors want to give their students more practice and more feedback, but there aren't enough hours in the semester. Cubby extends a professor's expertise into one-on-one support for every student in the room, and the professor stays in charge of every word." Cubby for Professors also includes live course analytics, showing performance by topic, by assessment, and by student. Professor materials are never shared with other faculty or institutions and are never used to train models, and past exams can be excluded from student access entirely. For students, the new version of Cubby is rebuilt from the ground up on datasets Cubby developed itself and models fine-tuned for each doctrinal subject, all reviewed by law professors. Every course reflects how the student's professor teaches, tests, and grades, with rebuilt case briefs and outlines, and practice exams graded on the professor's actual rubric, with answers redlined so students see exactly where points were won and lost. The release builds on Cubby's first full academic year in market, in which the platform served nearly 2,000 students across more than 200 American law schools. "I resisted encouraging students to incorporate artificial intelligence into their educational experience," said Kamina Pinder, Associate Dean at Emory University School of Law, who is bringing Cubby into her first-year Contracts course this fall. "I have been, and still am, concerned that AI will discourage the critical thinking essential to legal education. Cubby has made me a believer. I am so pleased with the way that its designers have ethically approached the Cubby experience to ensure that it enhances rather than supplants student learning." Fall pilot slots for Cubby for Professors are now full. Professors interested in bringing Cubby into their courses can join the waitlist for spring 2027 pilots at professor.cubby.law. Students can get started today at cubby.law. About Cubby Law Cubby is a legal education company based in New York. Founded in 2024 by Truman Sacks, Cubby builds AI teaching assistants that give every law student the practice and feedback of one-on-one instruction, personalized to how their professor teaches, tests, and grades. Grounded in professor-reviewed legal datasets and models built for each doctrinal subject, Cubby has served students at more than 200 American law schools. Learn more at cubby.law and professor.cubby.law. Media contact: Esha Desai