Disseminating what we learn and build — to students, faculty, judges, and the profession.
The Project’s teach pillar takes findings and tools out to the people who can use them: law students through course tools and virtual TAs; law faculty through assessment innovations and pedagogy resources; judges and chambers through use-case research and training; and (next phase) small and medium law firms — an underserved segment of the profession.
Just because the tool says something that sounds plausible doesn’t mean it’s right.
From the Prompt Guide & Scenarios
Direct teaching, training programs, public-facing toolkit publications, and the Project’s faculty-pedagogy support function all live here. Many of our projects span multiple pillars; teach is where most of the Project’s work eventually surfaces.
An extraction primitive: turn the messy artifacts of a real course — PDFs, slide decks, casebook excerpts, syllabi — into clean structured text that downstream tools can use.buildteachActive
Curate and edit cases into custom course casebooks at a fraction of the commercial cost — faculty pilots in Torts and Patents (Fall 2026) and Legislation (Spring 2027).buildteachActive
A virtual teaching-assistant chatbot bound to one course's materials: it answers students in Slack from the assigned readings, with citations. Plus the argument that faculty should consider building these to govern the AI students already use. Spring 2026 results and a draft paper.buildteachActive
Build the pipeline that produces the Project's monthly AI newsletter — automated collection, editorial workflow, Substack distribution.buildteachActive
Working with the federal judiciary on the practical use of AI tools — through training, research, chambers-facing tools, and structured feedback.teachActive
A four-module microsite on legal education in the era of AI, with a cloned-voice podcast, NotebookLM audio overview, and PDF summaries. Shipped April 2026.teachShipped
