Legal Study Workspace
The case archive, revision engine, and document desk for law students.
Law Student Notepad combines case archiving, spaced repetition, forgetting-curve review, document study, and optional AI-assisted workflows in one product surface. It is designed for students who want something more rigorous than a note app and less fragmented than juggling separate tools for cases, statutes, lecture notes, and exam prep.
The public site, support page, and privacy policy are written to reflect the actual product behavior: local-first legal-study workflows, optional Firebase-backed cloud sync, on-demand document import, user-triggered OCR, and explicit AI data-sharing controls.
- Current recall 82%
- Repetition phase Curve 4
- Review count 9 reviews
- Import PDF, ePub, or Office file.
- Extract text or run OCR when needed.
- Generate flashcards, notes, or AI-assisted summaries.
The app can be used for local study and local storage before any account is connected.
Firebase Authentication, Cloud Firestore, and Storage are used only for the workflows you turn on.
Case notes, flashcards, forgetting curves, and revision metadata now read as one coherent study system.
The public site presents the product professionally while the full Flutter app remains one click away.
Product System
One product, four operational surfaces.
The design language is intentionally closer to an academic legal workstation than a generic app landing page. Each surface on the product site maps back to a real workflow that already exists inside the app.
Case archive and calendar discipline
Start from dates, not random folders. Case entries, notes, and review context stay attached to the day and matter where the learning happened.
- Calendar browsing for day-based recall.
- Structured case fields for issue, outcome, stage, and study notes.
- Keyword-driven archive search and export without leaving the workflow.
Revision cockpit with retention logic
Flashcards, Again/Hard/Good/Easy review actions, live recall metrics, repetition phases, and forgetting-curve inspection belong to the same study loop.
- Per-card review count, decay, and recall cues.
- Fullscreen forgetting-curve inspection for due buckets.
- Guide-and-credits page for the meaning of each grade.
Document study and OCR workflows
The GKE surface is built for serious reading: import files, extract text, run OCR when needed, and turn content into notes or flashcards instead of leaving cases, statutes, and lecture materials stranded in a downloads folder.
- PDF, ePub, and Office document entry points.
- User-triggered OCR for image or scan-heavy material.
- AI-assisted generation only after explicit opt-in.
Accountability, export, and cross-device continuity
Students can stay entirely local, or connect an account and carry their own study system across devices. Export and sharing remain task-driven rather than social or ad-driven.
- Optional Firebase sign-in and cloud sync.
- PDF export and sharing surfaces for study material.
- No ad network or tracking SDK layer in the current build.
Study Workflow
Capture, organise, revise, and deepen the material without leaving the same product shell.
Capture the matter
Log the case, issue, stage, and quick notes while the context is still fresh.
Normalise the knowledge
Convert raw notes into flashcards, organise authorities by folders or project structures, and keep reasoning steps searchable.
Review with evidence
Use repetition phases, response quality, and forgetting-curve buckets to decide what needs attention next.
Expand from source documents
Bring lecture notes, PDFs, and scans into the same workspace for OCR, note drafting, and AI-assisted study.
Privacy Posture
Privacy disclosures aligned with real app behavior.
This section mirrors how the product operates in practice: which workflows remain local, which cloud features are optional, and which network actions run only after explicit user input.
On-device by default
Notes, flashcards, and revision state can remain local when account-based features are not enabled.
Optional cloud layer
Sign-in and sync send selected study content to Firebase only when the student enables those features.
User-triggered external processing
AI, OCR, document conversion, and upload paths run only after user-initiated actions in the app.