flashcards

The system applies a deterministic card-writing structure to generate flashcards from your outlines, notes, or casebook excerpts. It includes source citations and requires confidence verification for any AI-generated uncited rules to ensure accuracy.

The Leitner system uses bucket-based prioritization to track cards across new, learning, review, and mastered stages. This keeps memorization practice targeted by scheduling next reviews based on your self-assessment performance during targeted drill sessions.

Run a drill session by requesting practice for a specific subject, like asking to drill flashcards for Contracts. The system uses a right, partial, or wrong self-assessment workflow to update Leitner buckets and supports short N-card sessions with YAML-backed history tracking.

Yes, decks are stored per subject as individual markdown files. This per-subject markdown storage keeps cards organized for quick browsing and supports incremental deck builds as you add more legal rules to your black-letter law memorization set.

The system provides progress snapshots and stats to identify stuck areas in your black-letter law memorization. It tracks bucket distributions across new, learning, review, and mastered cards to help focus your study planning on weak legal topics.

Yes, the system requires YAML-backed study history handling to track your self-assessment updates and Leitner bucket progress. This ensures your drill sessions and card scheduling data persist accurately across your legal memorization study planning sessions.