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Study methodology, exam strategy, and survival guides for law students — written by the team, grounded in how the work actually gets done.
5 posts
UC Law San Francisco will require every JD student to complete an AI-enabled lawyering lab during the 2L year. Rather than contradicting recent restrictions at Chicago and Berkeley, the policy helps define an emerging consensus: law students should first build independent legal judgment, then learn
Read more →A new LSAC/NALP report finds accelerated Big Law recruiting hurt over half of 1Ls — hitting hardest those without networks to warn them. As schools restrict AI to protect how students learn, the 1L year is squeezed from both ends: full intellectual work demanded, with less time to do it.
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JurisNoteA calm, repeatable method for surviving — and eventually owning — the Socratic cold call, from a law student's first week through finals.
Read more →Berkeley Law's new default rule bans AI from nearly every stage of graded work — including uses we think support learning. We disagree with some of the lines it draws, and we built for exactly this world anyway: AI features that institutions can govern, professors can override, and schools can turn
Read more →The University of Chicago Law School's new AI strategy bans devices in core 1L classes — a policy an AI study platform should oppose. We don't. The problem was never that students use AI; it's that many use it too early, before the thinking skills it can shortcut have been built. That distinction is
Read more →Brief cases, build outlines, and study with spaced repetition in one focused workspace for law school.
