academy-learn-legal-with-ai-curriculum

name	academy-learn-legal-with-ai-curriculum
description	Use when a lawyer, law student, or legal professional wants a structured self-paced curriculum to develop practical legal AI proficiency. Delivers a 12-week program covering AI fundamentals, prompt engineering for lawyers, document workflows, citation hygiene, clause libraries, jurisdiction navigation, professional ethics, and AI-disclosure obligations. Calibrated to MENA practitioners but applicable globally. Triggers on requests for training plans, AI upskilling curricula, or structured legal-tech learning paths.
license	MIT
metadata	{"id":"academy.learn-legal-with-ai-curriculum","category":"academy","jurisdictions":["__multi__"],"priority":"P3","intent":["__customer-facing__","curriculum","training","legal-ai-literacy"],"related":["academy-justinian-tutor","academy-legal-ai-skills-catalog","academy-students-program","academy-ai-feature-explainer"],"source":"Louis — HAQQ Legal AI (github.com/sboghossian/mini-claude-for-legal)","version":"1.0"}

Learn Legal with AI — 12-Week Curriculum

When to use this

Invoke when:

• A lawyer or law student asks "how do I get good at using AI for legal work?"
• A firm's professional-development lead asks for a structured AI training program
• A user wants a self-paced roadmap to legal AI proficiency
• An academic program wants to integrate AI literacy into its legal curriculum
• A new Louis user wants a guided onboarding path beyond feature discovery

Program overview

Duration	Format	Target audience	Commitment
12 weeks	Self-paced, module-based	Lawyers, law students, paralegals, in-house teams	~2–4 hours/week

The curriculum is divided into three phases:

• Phase 1 (Weeks 1–4): Foundations — understanding what AI does and does not do, and how to talk to it effectively
• Phase 2 (Weeks 5–9): Application — using AI across the core legal workflows
• Phase 3 (Weeks 10–12): Mastery and responsibility — advanced techniques, ethics, and disclosure obligations

Week-by-week curriculum

Phase 1: Foundations

Week 1 — How AI Language Models Work (for Non-Engineers)

• What an LLM is and is not (no memory between sessions by default, no real-time internet, probabilistic outputs)
• Why AI hallucinates and what that means for legal use
• How Louis's skill router differs from raw AI
• Exercise: three test prompts, analyze the outputs critically

Week 2 — Prompt Engineering for Lawyers

• The anatomy of a good legal prompt: role → task → context → constraints → output format
• Common errors: vague tasks, missing jurisdiction, missing document context
• Iterative prompting: how to refine when the first output is not right
• Exercise: rewrite 5 bad prompts into good ones; compare outputs

Week 3 — Understanding Jurisdictional AI

• Why jurisdiction matters to AI outputs
• How to specify your jurisdiction clearly and what changes when you do
• MENA-specific: civil law vs common law; onshore vs DIFC/ADGM; Arabic-language contracts
• Exercise: same contract question, prompt it for three different jurisdictions, compare the substantive differences in output

Week 4 — Citation Hygiene and Verification

• AI citation errors: how they happen, how to spot them
• Verification workflow: for each AI-cited statute or case, always verify against the primary source
• When to trust and when to verify: low-stakes vs high-stakes contexts
• Exercise: use Louis's citations engine on a real clause question; verify each citation

Phase 2: Application

Week 5 — Document Workflows: Drafting with AI

• From blank page to first draft: using the Document Library and Drafting Board
• Filling variable fields intelligently; handling ambiguity
• Internal consistency checking (defined terms, cross-references)
• Exercise: draft a one-page services agreement for UAE, then for Lebanon — note the mandatory differences

Week 6 — Document Workflows: Review and Risk Scanning

• Uploading a contract for review: what to expect
• Reading the risk scanner output: severity tiers, what to act on first
• Distinguishing commercial risk from enforceability risk
• Exercise: upload an unknown contract, score the issues before and after the risk scan, calibrate your own judgment

Week 7 — The Clause Library in Practice

• Finding the right clause variant for your client's negotiating position
• Bilingual clause comparison (AR ↔ EN): how to use it, what to watch for
• Customizing library clauses without breaking them
• Exercise: negotiate a limitation-of-liability clause through three rounds using library alternates

Week 8 — Jurisdiction Navigation

• Using Louis for multi-jurisdictional matters
• Flagging mandatory provisions by jurisdiction
• Cross-border contract traps: choice of law, mandatory language requirements, notarization
• Exercise: spot 5 jurisdiction-specific mandatory requirements in a model MENA employment contract

Week 9 — Legal Research with AI

• Using AI to surface applicable legal frameworks (not to replace primary research)
• Structuring research questions for better outputs
• Combining AI research with primary-source verification
• Exercise: research the rules on non-compete clauses across UAE, KSA, and Lebanon — use Louis to surface the framework, verify two provisions against primary sources

Phase 3: Mastery and Responsibility

Week 10 — Advanced Techniques

• Chain prompting: break complex tasks into sequential sub-prompts
• Using AI for negotiation preparation: what would opposing counsel argue?
• Scenario planning with AI: sensitivity analysis, outcome ranges
• Exercise: run a settlement EV analysis using [[casesim-settlement-vs-trial-ev-calculator]] and critique the assumptions

Week 11 — Professional Ethics and AI

• Competence obligation: most bar associations now say competence includes understanding tools you use
• Confidentiality: what data goes to the AI? what is the data-processing agreement?
• Supervision: who is responsible for AI output in a client matter?
• Conflicts: can AI introduce conflicts? how to check
• MENA-specific: LBBA, UAE Legal Affairs Department, KSA Ministry of Justice guidance (where available)

Week 12 — AI Disclosure Obligations

• When to disclose AI use to clients
• How to frame AI assistance in engagement letters and retainer agreements
• Court disclosure: emerging rules on AI-assisted briefs (US, UK, DIFC)
• Building your firm's AI-use policy: a starter template
• Final exercise: draft a firm AI-use policy and an AI-disclosure clause for your engagement letter

Assessment and certification

• Each module has a short self-assessment quiz (5–10 questions)
• Weeks 6, 9, and 12 have portfolio exercises that are peer-reviewed or mentor-reviewed
• Completion certificate issued upon finishing all 12 modules and passing the Week 12 final exercise
• CPD/CLE credit: HAQQ is pursuing CLE credit recognition with select bar associations; check current status in-platform

Caveats

• Law changes. Jurisdiction-specific content in this curriculum should be verified against current primary sources for client-matter use.
• This curriculum teaches the use of AI tools; it does not replace legal education or professional qualification.
• Ethical rules vary by jurisdiction; the Week 11 module provides a framework, not jurisdiction-specific advice on bar obligations.

Related skills

• [[academy-justinian-tutor]]
• [[academy-legal-ai-skills-catalog]]
• [[academy-students-program]]
• [[academy-ai-feature-explainer]]