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AI agent for law students

Case Law Flashcard and Spaced Review Agent

Have the student recall the key rules at exam level in each topic by exam day.

LearningLegal
See how it worksGet access
Case Law Flashcard and Spaced Review Agent: what goes in, what the agent does and what you get

What it does

A law student reads hundreds of cases and by exam time half the rules are gone. Making flashcards takes as long as studying. This agent builds flashcards from the student's own outline, covering rules, elements, case holdings and exceptions. It quizzes the student, records which cards are missed and groups the misses by topic. It schedules reviews with longer gaps for cards the student knows and shorter ones for the missed. After each session it shifts study time toward the weak topics. The student approves the weekly plan. Edge case: a card missed three times in a row is rewritten as a smaller question or linked to a hypothetical.

How it works

Follow the arrows from top to bottom. The orange dashed arrow is the loop: when a check fails, the agent goes back and tries again.

Start and resultWhat it doesA check on its own workWaits for your OKGoes back and retries
Yes, continueYes, continueApprovedNoNo 1 STARTS WHEN Student uploads an outline and sets the exam date 2 USES A TOOL Read the outline and build cards by topic 3 DOES Set the first review schedule for each card 4 USES A TOOL Quiz the student in a daily session 5 DOES Record results and group misses by topic 6 CHECKS THE RESULT Is each topic above the target recall rate? If not: Shorten review gaps and add practice questionsfor weak topics. Back to step 4. 7 CHECKS THE RESULT Was any card missed three times? If not: Rewrite it as a smaller question or add ahypothetical. Back to step 4. 8 DOES Draft the next week's study plan 9 YOU APPROVE Student approves the weekly plan 10 RESULT Weekly recall report
Read the steps as a list
  1. Student uploads an outline and sets the exam date
  2. Read the outline and build cards by topic
  3. Set the first review schedule for each card
  4. Quiz the student in a daily session
  5. Record results and group misses by topic
  6. Is each topic above the target recall rate?If not: Shorten review gaps and add practice questions for weak topics. Back to step 4.
  7. Was any card missed three times?If not: Rewrite it as a smaller question or add a hypothetical. Back to step 4.
  8. Draft the next week's study plan
  9. Student approves the weekly planThe agent waits here for your OK.
  10. Weekly recall report

How it decides

Schedules each card with longer gaps after correct answers and shorter after misses, and shifts weekly time to topics with the lowest recall.

  • Target recall is 85% per topic before the exam
  • Card missed 3 times is rewritten
  • Correct card gap doubles each time, missed card resets to 1 day
  • Study time is weighted to lowest recall topics

Make it yours

Every agent is a starting point. You choose these settings for your own situation.

  • Target recall (default 85%)
  • Daily study time
  • Exam date
  • Topics and weights
  • Card format

What keeps you in control

It always asks you first

  • The weekly plan
  • Any change to the exam date
  • Dropping a topic

Hard limits

  • Never invent a rule not in the student's materials
  • Never give legal advice

It stops when

  • Done: all topics reach the recall target
  • Stop: student ends the plan
  • Stop: exam date passes

Set it up

We guide you through the set-up, step by step

Members get the full set-up guide for this agent. No technical skills needed: you copy, paste and upload.

10 minto set it up in your AI
5 AIsChatGPT, Claude, Copilot, Gemini, Grok
  • One set of instructions to paste into your AI, with the clicks for ChatGPT, Claude, Microsoft 365 Copilot, Gemini and Grok
  • The agent then walks you through connecting your own data, one source at a time
  • A downloadable copy with the flow chart, the rules and the full guide
Get access to this agent

An example run

What happensA student studies contracts. After a week, consideration scores 92% but promissory estoppel 55%. The topic check fails, so the agent shortens the review gap and adds two practice questions. One card on reliance is missed three times, so the agent rewrites it into two smaller cards. By week 3 estoppel recall is 81%. The student approves more time for it.

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