11. AI for Lawyers

Course Positioning

This course introduces AI as a legal work assistant for research support, drafting, contract review, summarization, chronology building, negotiation prep, legal operations, and client communication. It strongly emphasizes confidentiality, hallucination risk, jurisdiction, privilege, verification, and lawyer accountability.

Learning outcomes

Identify legal tasks where AI can support but not replace professional judgment.
Use AI to summarize facts, organize chronologies, compare clauses, draft first-pass documents, and prepare questions.
Apply verification workflows for case law, statutes, clauses, citations, and jurisdiction-specific rules.
Create safe prompts that avoid unnecessary disclosure of privileged or confidential information.
Build a legal AI playbook for a practice area or firm workflow.

Expanded Topic-by-Topic Coverage

Module 1. AI in legal practice

Module focus: Research, drafting, contract review, litigation support, legal ops, client communication, limits. Primary live activity or lab: Classify legal tasks by risk and AI suitability. Expected take-home output: Legal task risk map.

Topics and coverage

Research

What it means: show where Research appears in the learner's real workflow and which parts are judgment-heavy versus draftable.
What to cover: current workflow, pain points, AI-assisted steps, human review checkpoints, quality standard, and ownership of the final decision.
Demonstration: convert one messy real-world input into a structured brief, draft, analysis, checklist, or next action.
Evidence of learning: learners produce a reusable template or playbook entry that can be used after the course.

drafting

What it means: define drafting clearly and connect it to the module focus: Research, drafting, contract review, litigation support, legal ops, client communication, limits.
What to cover: the core concept, why it matters, what good usage looks like, and where learners are likely to misunderstand it.
Demonstration: give one simple example, one realistic example, and one failure or limitation example.
Evidence of learning: learners explain the topic in their own words and apply it to a small artifact or decision.

contract review

What it means: define contract review clearly and connect it to the module focus: Research, drafting, contract review, litigation support, legal ops, client communication, limits.
What to cover: the core concept, why it matters, what good usage looks like, and where learners are likely to misunderstand it.
Demonstration: give one simple example, one realistic example, and one failure or limitation example.
Evidence of learning: learners explain the topic in their own words and apply it to a small artifact or decision.

litigation support

What it means: show where litigation support appears in the learner's real workflow and which parts are judgment-heavy versus draftable.
What to cover: current workflow, pain points, AI-assisted steps, human review checkpoints, quality standard, and ownership of the final decision.
Demonstration: convert one messy real-world input into a structured brief, draft, analysis, checklist, or next action.
Evidence of learning: learners produce a reusable template or playbook entry that can be used after the course.

legal ops

What it means: show where legal ops appears in the learner's real workflow and which parts are judgment-heavy versus draftable.
What to cover: current workflow, pain points, AI-assisted steps, human review checkpoints, quality standard, and ownership of the final decision.
Demonstration: convert one messy real-world input into a structured brief, draft, analysis, checklist, or next action.
Evidence of learning: learners produce a reusable template or playbook entry that can be used after the course.

client communication

What it means: show where client communication appears in the learner's real workflow and which parts are judgment-heavy versus draftable.
What to cover: current workflow, pain points, AI-assisted steps, human review checkpoints, quality standard, and ownership of the final decision.
Demonstration: convert one messy real-world input into a structured brief, draft, analysis, checklist, or next action.
Evidence of learning: learners produce a reusable template or playbook entry that can be used after the course.

limits

What it means: define limits clearly and connect it to the module focus: Research, drafting, contract review, litigation support, legal ops, client communication, limits.
What to cover: the core concept, why it matters, what good usage looks like, and where learners are likely to misunderstand it.
Demonstration: give one simple example, one realistic example, and one failure or limitation example.
Evidence of learning: learners explain the topic in their own words and apply it to a small artifact or decision.

Practice and evidence of learning

Learners complete or discuss: Classify legal tasks by risk and AI suitability.
Learners produce: Legal task risk map.
Instructor checks for accuracy, practical usefulness, clear assumptions, appropriate human review, and fit with the course audience.
Learners revise once after feedback so the module contributes to the final project, portfolio, or playbook.

Minimum coverage before moving on

Learners can explain the module vocabulary without relying on tool-generated text.
Learners have seen one worked example, one hands-on application, and one limitation or failure case.
Learners know what must be verified, what data must be protected, and who remains accountable for the output.

Module 2. Confidentiality and privilege

Module focus: Client data, privileged facts, anonymization, approved tools, vendor risk, audit trails. Primary live activity or lab: Rewrite unsafe prompts into safe prompts. Expected take-home output: Safe prompting guide.

Topics and coverage

Client data

What it means: connect Client data to the data lifecycle from source and structure through analysis, interpretation, and decision-making.
What to cover: source reliability, missing or biased data, leakage, assumptions, calculations, and the difference between correlation and decision-ready evidence.
Demonstration: walk through a small dataset or example table and mark the checks required before trusting the result.
Evidence of learning: learners produce a short analysis note that includes assumptions, limitations, and verification steps.

privileged facts

What it means in this course: define privileged facts in operational terms, not as an abstract principle.
What to cover: sensitive data boundaries, affected stakeholders, approval paths, documentation, and what lawyers, law students, legal operations teams, paralegals must never delegate blindly to AI.
Use case: present one acceptable use, one borderline use, and one prohibited use, then ask learners to justify the classification.
Evidence of learning: learners add a risk control, review step, or escalation rule to their course project.

anonymization

What it means: define anonymization clearly and connect it to the module focus: Client data, privileged facts, anonymization, approved tools, vendor risk, audit trails.
What to cover: the core concept, why it matters, what good usage looks like, and where learners are likely to misunderstand it.
Demonstration: give one simple example, one realistic example, and one failure or limitation example.
Evidence of learning: learners explain the topic in their own words and apply it to a small artifact or decision.

approved tools

What it means: define approved tools clearly and connect it to the module focus: Client data, privileged facts, anonymization, approved tools, vendor risk, audit trails.
What to cover: the core concept, why it matters, what good usage looks like, and where learners are likely to misunderstand it.
Demonstration: give one simple example, one realistic example, and one failure or limitation example.
Evidence of learning: learners explain the topic in their own words and apply it to a small artifact or decision.

vendor risk

What it means in this course: define vendor risk in operational terms, not as an abstract principle.
What to cover: sensitive data boundaries, affected stakeholders, approval paths, documentation, and what lawyers, law students, legal operations teams, paralegals must never delegate blindly to AI.
Use case: present one acceptable use, one borderline use, and one prohibited use, then ask learners to justify the classification.
Evidence of learning: learners add a risk control, review step, or escalation rule to their course project.

audit trails

What it means: define audit trails clearly and connect it to the module focus: Client data, privileged facts, anonymization, approved tools, vendor risk, audit trails.
What to cover: the core concept, why it matters, what good usage looks like, and where learners are likely to misunderstand it.
Demonstration: give one simple example, one realistic example, and one failure or limitation example.
Evidence of learning: learners explain the topic in their own words and apply it to a small artifact or decision.

Practice and evidence of learning

Learners complete or discuss: Rewrite unsafe prompts into safe prompts.
Learners produce: Safe prompting guide.
Instructor checks for accuracy, practical usefulness, clear assumptions, appropriate human review, and fit with the course audience.
Learners revise once after feedback so the module contributes to the final project, portfolio, or playbook.

Minimum coverage before moving on

Learners can explain the module vocabulary without relying on tool-generated text.
Learners have seen one worked example, one hands-on application, and one limitation or failure case.
Learners know what must be verified, what data must be protected, and who remains accountable for the output.

Module 3. Legal research support

Module focus: Issue spotting, search queries, summaries, jurisdiction, source hierarchy, citation checking. Primary live activity or lab: Use AI to frame research questions, then verify with trusted legal databases. Expected take-home output: Research memo skeleton.

Topics and coverage

Issue spotting

What it means: define Issue spotting clearly and connect it to the module focus: Issue spotting, search queries, summaries, jurisdiction, source hierarchy, citation checking.
What to cover: the core concept, why it matters, what good usage looks like, and where learners are likely to misunderstand it.
Demonstration: give one simple example, one realistic example, and one failure or limitation example.
Evidence of learning: learners explain the topic in their own words and apply it to a small artifact or decision.

search queries

What it means: define search queries clearly and connect it to the module focus: Issue spotting, search queries, summaries, jurisdiction, source hierarchy, citation checking.
What to cover: the core concept, why it matters, what good usage looks like, and where learners are likely to misunderstand it.
Demonstration: give one simple example, one realistic example, and one failure or limitation example.
Evidence of learning: learners explain the topic in their own words and apply it to a small artifact or decision.

summaries

What it means: define summaries clearly and connect it to the module focus: Issue spotting, search queries, summaries, jurisdiction, source hierarchy, citation checking.
What to cover: the core concept, why it matters, what good usage looks like, and where learners are likely to misunderstand it.
Demonstration: give one simple example, one realistic example, and one failure or limitation example.
Evidence of learning: learners explain the topic in their own words and apply it to a small artifact or decision.

jurisdiction

What it means: define jurisdiction clearly and connect it to the module focus: Issue spotting, search queries, summaries, jurisdiction, source hierarchy, citation checking.
What to cover: the core concept, why it matters, what good usage looks like, and where learners are likely to misunderstand it.
Demonstration: give one simple example, one realistic example, and one failure or limitation example.
Evidence of learning: learners explain the topic in their own words and apply it to a small artifact or decision.

source hierarchy

What it means: define source hierarchy clearly and connect it to the module focus: Issue spotting, search queries, summaries, jurisdiction, source hierarchy, citation checking.
What to cover: the core concept, why it matters, what good usage looks like, and where learners are likely to misunderstand it.
Demonstration: give one simple example, one realistic example, and one failure or limitation example.
Evidence of learning: learners explain the topic in their own words and apply it to a small artifact or decision.

citation checking

What it means: define citation checking clearly and connect it to the module focus: Issue spotting, search queries, summaries, jurisdiction, source hierarchy, citation checking.
What to cover: the core concept, why it matters, what good usage looks like, and where learners are likely to misunderstand it.
Demonstration: give one simple example, one realistic example, and one failure or limitation example.
Evidence of learning: learners explain the topic in their own words and apply it to a small artifact or decision.

Practice and evidence of learning

Learners complete or discuss: Use AI to frame research questions, then verify with trusted legal databases.
Learners produce: Research memo skeleton.
Instructor checks for accuracy, practical usefulness, clear assumptions, appropriate human review, and fit with the course audience.
Learners revise once after feedback so the module contributes to the final project, portfolio, or playbook.

Minimum coverage before moving on

Learners can explain the module vocabulary without relying on tool-generated text.
Learners have seen one worked example, one hands-on application, and one limitation or failure case.
Learners know what must be verified, what data must be protected, and who remains accountable for the output.

Module 4. Drafting and revision

Module focus: Memos, notices, pleadings, letters, clause drafting, style and tone, human review. Primary live activity or lab: Draft and refine a fictional demand letter or memo. Expected take-home output: Drafting workflow.

Topics and coverage

Memos

What it means: define Memos clearly and connect it to the module focus: Memos, notices, pleadings, letters, clause drafting, style and tone, human review.
What to cover: the core concept, why it matters, what good usage looks like, and where learners are likely to misunderstand it.
Demonstration: give one simple example, one realistic example, and one failure or limitation example.
Evidence of learning: learners explain the topic in their own words and apply it to a small artifact or decision.

notices

What it means: define notices clearly and connect it to the module focus: Memos, notices, pleadings, letters, clause drafting, style and tone, human review.
What to cover: the core concept, why it matters, what good usage looks like, and where learners are likely to misunderstand it.
Demonstration: give one simple example, one realistic example, and one failure or limitation example.
Evidence of learning: learners explain the topic in their own words and apply it to a small artifact or decision.

pleadings

What it means: define pleadings clearly and connect it to the module focus: Memos, notices, pleadings, letters, clause drafting, style and tone, human review.
What to cover: the core concept, why it matters, what good usage looks like, and where learners are likely to misunderstand it.
Demonstration: give one simple example, one realistic example, and one failure or limitation example.
Evidence of learning: learners explain the topic in their own words and apply it to a small artifact or decision.

letters

What it means: define letters clearly and connect it to the module focus: Memos, notices, pleadings, letters, clause drafting, style and tone, human review.
What to cover: the core concept, why it matters, what good usage looks like, and where learners are likely to misunderstand it.
Demonstration: give one simple example, one realistic example, and one failure or limitation example.
Evidence of learning: learners explain the topic in their own words and apply it to a small artifact or decision.

clause drafting

What it means: define clause drafting clearly and connect it to the module focus: Memos, notices, pleadings, letters, clause drafting, style and tone, human review.
What to cover: the core concept, why it matters, what good usage looks like, and where learners are likely to misunderstand it.
Demonstration: give one simple example, one realistic example, and one failure or limitation example.
Evidence of learning: learners explain the topic in their own words and apply it to a small artifact or decision.

style and tone

What it means: define style and tone clearly and connect it to the module focus: Memos, notices, pleadings, letters, clause drafting, style and tone, human review.
What to cover: the core concept, why it matters, what good usage looks like, and where learners are likely to misunderstand it.
Demonstration: give one simple example, one realistic example, and one failure or limitation example.
Evidence of learning: learners explain the topic in their own words and apply it to a small artifact or decision.

human review

What it means: define human review clearly and connect it to the module focus: Memos, notices, pleadings, letters, clause drafting, style and tone, human review.
What to cover: the core concept, why it matters, what good usage looks like, and where learners are likely to misunderstand it.
Demonstration: give one simple example, one realistic example, and one failure or limitation example.
Evidence of learning: learners explain the topic in their own words and apply it to a small artifact or decision.

Practice and evidence of learning

Learners complete or discuss: Draft and refine a fictional demand letter or memo.
Learners produce: Drafting workflow.
Instructor checks for accuracy, practical usefulness, clear assumptions, appropriate human review, and fit with the course audience.
Learners revise once after feedback so the module contributes to the final project, portfolio, or playbook.

Minimum coverage before moving on

Learners can explain the module vocabulary without relying on tool-generated text.
Learners have seen one worked example, one hands-on application, and one limitation or failure case.
Learners know what must be verified, what data must be protected, and who remains accountable for the output.

Module 5. Contract review

Module focus: Clause extraction, risk flags, redlines, playbooks, fallback positions, negotiation prep. Primary live activity or lab: Review a sample contract against a clause checklist. Expected take-home output: Contract issue list.

Topics and coverage

Clause extraction

What it means: define Clause extraction clearly and connect it to the module focus: Clause extraction, risk flags, redlines, playbooks, fallback positions, negotiation prep.
What to cover: the core concept, why it matters, what good usage looks like, and where learners are likely to misunderstand it.
Demonstration: give one simple example, one realistic example, and one failure or limitation example.
Evidence of learning: learners explain the topic in their own words and apply it to a small artifact or decision.

risk flags

What it means in this course: define risk flags in operational terms, not as an abstract principle.
What to cover: sensitive data boundaries, affected stakeholders, approval paths, documentation, and what lawyers, law students, legal operations teams, paralegals must never delegate blindly to AI.
Use case: present one acceptable use, one borderline use, and one prohibited use, then ask learners to justify the classification.
Evidence of learning: learners add a risk control, review step, or escalation rule to their course project.

redlines

What it means: define redlines clearly and connect it to the module focus: Clause extraction, risk flags, redlines, playbooks, fallback positions, negotiation prep.
What to cover: the core concept, why it matters, what good usage looks like, and where learners are likely to misunderstand it.
Demonstration: give one simple example, one realistic example, and one failure or limitation example.
Evidence of learning: learners explain the topic in their own words and apply it to a small artifact or decision.

playbooks

What it means: define playbooks clearly and connect it to the module focus: Clause extraction, risk flags, redlines, playbooks, fallback positions, negotiation prep.
What to cover: the core concept, why it matters, what good usage looks like, and where learners are likely to misunderstand it.
Demonstration: give one simple example, one realistic example, and one failure or limitation example.
Evidence of learning: learners explain the topic in their own words and apply it to a small artifact or decision.

fallback positions

What it means: define fallback positions clearly and connect it to the module focus: Clause extraction, risk flags, redlines, playbooks, fallback positions, negotiation prep.
What to cover: the core concept, why it matters, what good usage looks like, and where learners are likely to misunderstand it.
Demonstration: give one simple example, one realistic example, and one failure or limitation example.
Evidence of learning: learners explain the topic in their own words and apply it to a small artifact or decision.

negotiation prep

What it means: define negotiation prep clearly and connect it to the module focus: Clause extraction, risk flags, redlines, playbooks, fallback positions, negotiation prep.
What to cover: the core concept, why it matters, what good usage looks like, and where learners are likely to misunderstand it.
Demonstration: give one simple example, one realistic example, and one failure or limitation example.
Evidence of learning: learners explain the topic in their own words and apply it to a small artifact or decision.

Practice and evidence of learning

Learners complete or discuss: Review a sample contract against a clause checklist.
Learners produce: Contract issue list.
Instructor checks for accuracy, practical usefulness, clear assumptions, appropriate human review, and fit with the course audience.
Learners revise once after feedback so the module contributes to the final project, portfolio, or playbook.

Minimum coverage before moving on

Learners can explain the module vocabulary without relying on tool-generated text.
Learners have seen one worked example, one hands-on application, and one limitation or failure case.
Learners know what must be verified, what data must be protected, and who remains accountable for the output.

Module 6. Fact management

Module focus: Chronologies, document summaries, deposition prep, witness questions, evidence organization. Primary live activity or lab: Turn a fictional fact set into a chronology. Expected take-home output: Case chronology.

Topics and coverage

Chronologies

What it means: show where Chronologies appears in the learner's real workflow and which parts are judgment-heavy versus draftable.
What to cover: current workflow, pain points, AI-assisted steps, human review checkpoints, quality standard, and ownership of the final decision.
Demonstration: convert one messy real-world input into a structured brief, draft, analysis, checklist, or next action.
Evidence of learning: learners produce a reusable template or playbook entry that can be used after the course.

document summaries

What it means: define document summaries clearly and connect it to the module focus: Chronologies, document summaries, deposition prep, witness questions, evidence organization.
What to cover: the core concept, why it matters, what good usage looks like, and where learners are likely to misunderstand it.
Demonstration: give one simple example, one realistic example, and one failure or limitation example.
Evidence of learning: learners explain the topic in their own words and apply it to a small artifact or decision.

deposition prep

What it means: define deposition prep clearly and connect it to the module focus: Chronologies, document summaries, deposition prep, witness questions, evidence organization.
What to cover: the core concept, why it matters, what good usage looks like, and where learners are likely to misunderstand it.
Demonstration: give one simple example, one realistic example, and one failure or limitation example.
Evidence of learning: learners explain the topic in their own words and apply it to a small artifact or decision.

witness questions

What it means: define witness questions clearly and connect it to the module focus: Chronologies, document summaries, deposition prep, witness questions, evidence organization.
What to cover: the core concept, why it matters, what good usage looks like, and where learners are likely to misunderstand it.
Demonstration: give one simple example, one realistic example, and one failure or limitation example.
Evidence of learning: learners explain the topic in their own words and apply it to a small artifact or decision.

evidence organization

What it means: define evidence organization clearly and connect it to the module focus: Chronologies, document summaries, deposition prep, witness questions, evidence organization.
What to cover: the core concept, why it matters, what good usage looks like, and where learners are likely to misunderstand it.
Demonstration: give one simple example, one realistic example, and one failure or limitation example.
Evidence of learning: learners explain the topic in their own words and apply it to a small artifact or decision.

Practice and evidence of learning

Learners complete or discuss: Turn a fictional fact set into a chronology.
Learners produce: Case chronology.
Instructor checks for accuracy, practical usefulness, clear assumptions, appropriate human review, and fit with the course audience.
Learners revise once after feedback so the module contributes to the final project, portfolio, or playbook.

Minimum coverage before moving on

Learners can explain the module vocabulary without relying on tool-generated text.
Learners have seen one worked example, one hands-on application, and one limitation or failure case.
Learners know what must be verified, what data must be protected, and who remains accountable for the output.

Module 7. Legal operations and client service

Module focus: Intake, FAQs, matter updates, knowledge base, billing narratives, templates. Primary live activity or lab: Design an intake assistant with boundaries. Expected take-home output: Legal ops workflow.

Topics and coverage

Intake

What it means: define Intake clearly and connect it to the module focus: Intake, FAQs, matter updates, knowledge base, billing narratives, templates.
What to cover: the core concept, why it matters, what good usage looks like, and where learners are likely to misunderstand it.
Demonstration: give one simple example, one realistic example, and one failure or limitation example.
Evidence of learning: learners explain the topic in their own words and apply it to a small artifact or decision.

FAQs

What it means: define FAQs clearly and connect it to the module focus: Intake, FAQs, matter updates, knowledge base, billing narratives, templates.
What to cover: the core concept, why it matters, what good usage looks like, and where learners are likely to misunderstand it.
Demonstration: give one simple example, one realistic example, and one failure or limitation example.
Evidence of learning: learners explain the topic in their own words and apply it to a small artifact or decision.

matter updates

What it means: define matter updates clearly and connect it to the module focus: Intake, FAQs, matter updates, knowledge base, billing narratives, templates.
What to cover: the core concept, why it matters, what good usage looks like, and where learners are likely to misunderstand it.
Demonstration: give one simple example, one realistic example, and one failure or limitation example.
Evidence of learning: learners explain the topic in their own words and apply it to a small artifact or decision.

knowledge base

What it means: define knowledge base clearly and connect it to the module focus: Intake, FAQs, matter updates, knowledge base, billing narratives, templates.
What to cover: the core concept, why it matters, what good usage looks like, and where learners are likely to misunderstand it.
Demonstration: give one simple example, one realistic example, and one failure or limitation example.
Evidence of learning: learners explain the topic in their own words and apply it to a small artifact or decision.

billing narratives

What it means: define billing narratives clearly and connect it to the module focus: Intake, FAQs, matter updates, knowledge base, billing narratives, templates.
What to cover: the core concept, why it matters, what good usage looks like, and where learners are likely to misunderstand it.
Demonstration: give one simple example, one realistic example, and one failure or limitation example.
Evidence of learning: learners explain the topic in their own words and apply it to a small artifact or decision.

templates

What it means: define templates clearly and connect it to the module focus: Intake, FAQs, matter updates, knowledge base, billing narratives, templates.
What to cover: the core concept, why it matters, what good usage looks like, and where learners are likely to misunderstand it.
Demonstration: give one simple example, one realistic example, and one failure or limitation example.
Evidence of learning: learners explain the topic in their own words and apply it to a small artifact or decision.

Practice and evidence of learning

Learners complete or discuss: Design an intake assistant with boundaries.
Learners produce: Legal ops workflow.
Instructor checks for accuracy, practical usefulness, clear assumptions, appropriate human review, and fit with the course audience.
Learners revise once after feedback so the module contributes to the final project, portfolio, or playbook.

Minimum coverage before moving on

Learners can explain the module vocabulary without relying on tool-generated text.
Learners have seen one worked example, one hands-on application, and one limitation or failure case.
Learners know what must be verified, what data must be protected, and who remains accountable for the output.

Module 8. Governance and professional responsibility

Module focus: Hallucinated citations, unauthorized practice, supervision, disclosure, recordkeeping. Primary live activity or lab: Analyze an AI legal failure case study. Expected take-home output: Firm AI use policy draft.

Topics and coverage

Hallucinated citations

What it means: define Hallucinated citations clearly and connect it to the module focus: Hallucinated citations, unauthorized practice, supervision, disclosure, recordkeeping.
What to cover: the core concept, why it matters, what good usage looks like, and where learners are likely to misunderstand it.
Demonstration: give one simple example, one realistic example, and one failure or limitation example.
Evidence of learning: learners explain the topic in their own words and apply it to a small artifact or decision.

unauthorized practice

What it means: define unauthorized practice clearly and connect it to the module focus: Hallucinated citations, unauthorized practice, supervision, disclosure, recordkeeping.
What to cover: the core concept, why it matters, what good usage looks like, and where learners are likely to misunderstand it.
Demonstration: give one simple example, one realistic example, and one failure or limitation example.
Evidence of learning: learners explain the topic in their own words and apply it to a small artifact or decision.

supervision

What it means: define supervision clearly and connect it to the module focus: Hallucinated citations, unauthorized practice, supervision, disclosure, recordkeeping.
What to cover: the core concept, why it matters, what good usage looks like, and where learners are likely to misunderstand it.
Demonstration: give one simple example, one realistic example, and one failure or limitation example.
Evidence of learning: learners explain the topic in their own words and apply it to a small artifact or decision.

disclosure

What it means: define disclosure clearly and connect it to the module focus: Hallucinated citations, unauthorized practice, supervision, disclosure, recordkeeping.
What to cover: the core concept, why it matters, what good usage looks like, and where learners are likely to misunderstand it.
Demonstration: give one simple example, one realistic example, and one failure or limitation example.
Evidence of learning: learners explain the topic in their own words and apply it to a small artifact or decision.

recordkeeping

What it means: define recordkeeping clearly and connect it to the module focus: Hallucinated citations, unauthorized practice, supervision, disclosure, recordkeeping.
What to cover: the core concept, why it matters, what good usage looks like, and where learners are likely to misunderstand it.
Demonstration: give one simple example, one realistic example, and one failure or limitation example.
Evidence of learning: learners explain the topic in their own words and apply it to a small artifact or decision.

Practice and evidence of learning

Learners complete or discuss: Analyze an AI legal failure case study.
Learners produce: Firm AI use policy draft.
Instructor checks for accuracy, practical usefulness, clear assumptions, appropriate human review, and fit with the course audience.
Learners revise once after feedback so the module contributes to the final project, portfolio, or playbook.

Minimum coverage before moving on

Learners can explain the module vocabulary without relying on tool-generated text.
Learners have seen one worked example, one hands-on application, and one limitation or failure case.
Learners know what must be verified, what data must be protected, and who remains accountable for the output.

Labs, projects, and assessments

Lab 1: Build a legal research issue tree and source-checking protocol.
Lab 2: Review a sample contract using an AI-assisted clause playbook.
Lab 3: Draft a client-friendly explanation of a legal concept from a fictional scenario.
Capstone: Practice-area AI playbook with approved uses, prohibited uses, prompt templates, verification steps, and review responsibilities.

Evaluation approach

20% task risk classification.
25% research and verification workflow.
25% contract/drafting exercise.
30% practice-area AI playbook.

Recommended tools and materials

AI assistant approved for professional use, legal research databases, document comparison tools, clause libraries, secure document management system.
Use fictional or anonymized materials during public training.

Safety, ethics, and governance emphasis

Never rely on AI-generated legal citations without checking primary or approved legal sources.
Do not input privileged or confidential client material into unapproved public tools.
AI output must be reviewed by a qualified legal professional before client use.

Delivery notes

Localize by jurisdiction and practice area.
For law firms, start with low-risk internal workflows before client-facing use.

Instructor Build Checklist

Prepare one short demo for each module and one learner activity that creates a saved artifact.
Prepare examples that match the audience, local context, and likely tools learners can access.
Add a verification step to every AI-generated output: factual check, source check, data sensitivity check, and quality review.
Keep a running portfolio folder so each module contributes to the final project or learner playbook.
Reserve time for reflection on what the learner did, what AI did, what was checked, and what remains uncertain.