AI for Legal & Compliance
A 55-minute working brief for in-house counsel — where AI helps legal teams, where the privilege and hallucination traps live, and how to govern outside-vendor AI.
Last updated: 2026-05-19
What you'll learn
By the end of this course you'll be able to:
- Where AI legitimately helps legal — and where it shouldn't go near privileged matters
- Contract review AI — beyond clause extraction, into negotiation support
- Regulatory monitoring across multi-jurisdiction operations
- How to design a compliance copilot lawyers will actually trust
- Hallucination risk in legal contexts — concrete mitigations
- Vendor governance — vetting outside-counsel and SaaS AI offerings
Who this is for
General Counsels, compliance officers, and contract managers — plus paralegals and legal ops leaders building the playbook their teams will actually follow. Especially useful for in-house legal departments under pressure to "use AI" while protecting privilege, handling regulated data across GCC, India, and Africa, and answering audit-committee questions on AI risk.
Curriculum
8 chapters · 2 hands-on exercises · capstone challenge
Each chapter ends with the learning objectives ticked off. Quizzes are auto-graded with feedback; exercises are open-ended and produce artifacts you can take to your team.
1. The legal-AI fit map
- Identify 6 high-fit AI use cases inside a legal department
- Recognize 3 areas where AI is the wrong tool for legal work
2. Contract review AI
- Apply AI to first-pass review, clause comparison, and playbook checks
- Design human-in-loop workflows that protect drafting quality
3. Regulatory monitoring
- Build an AI feed that tracks regulator updates across jurisdictions
- Avoid the "ChatGPT says the rule is" credibility trap
4. Compliance copilots
- Design a policy Q&A copilot grounded in your actual code of conduct
- Build escalation paths to a human compliance officer
5. IP & confidentiality — using AI safely with privileged matters
- Classify legal data into 3 confidentiality tiers
- Apply tenant, model, and prompt-level controls that preserve privilege
6. Hallucination risk in legal contexts
- Spot the 4 hallucination patterns that have shown up in court filings
- Build verification workflows your team will not skip under deadline
7. Vendor governance for legal departments
- Vet outside-counsel and SaaS AI offerings with a 6-point checklist
- Negotiate AI clauses into engagement letters and SaaS contracts
Capstone: Capstone: Your legal AI playbook
- Draft a 1-page AI use policy for your legal team
- Pick one use case and scope a 4-week pilot the GC will sign off on
Capstone deliverable: Every learner who completes this course produces «Your 1-Page Legal AI Playbook» — a tangible artifact you take back to your organization.
Curriculum live · full chapter content rolling out through 2026.
The outline, learning objectives, references, and capstone deliverable are published. Full chapter content (video, narration, exercises) ships progressively. Get notified when each chapter goes live.
References & sources
Built on cited sources — not vibes.
Every course is researched fresh against vendor documentation, regulatory sources, and peer-reviewed work. Sources used in this course:
EU AI Act — Final Text
European Parliament · Source link
NIST AI Risk Management Framework
National Institute of Standards and Technology · Source link
India DPDP Act 2023
Ministry of Electronics and IT, Government of India · Source link
OWASP Top 10 for LLM Applications
OWASP Foundation · Source link
Course details
Track
By Function
Level
Foundational
Audience
Individual contributor, Manager, Director
Function
Legal & Compliance
Industry
Cross-Industry
Stack
Microsoft, Stack-agnostic
Paired Gennoor Way phase
train, innovate
Format
video, reading, interactive
You finished the course. Now what?
From course to outcome.
Reading this course is step one. The next step is applying it where you work. Here's how Gennoor helps — without the deck, without the pitch.
Run this for your team
A 2-day workshop or virtual cohort for up to 25 of your people, with exercises run on your data and a 30-day adoption plan.
From $5k · 2 weeks · function-specific
Apply this to your data
A 4–6 week pilot that takes what you learned and ships a working system inside your environment. Fixed scope, fixed price, code transferred day one.
From $25k · 6 weeks · production-grade
Just want to talk?
Free 30-minute call. No deck, no pitch. We listen to your situation and tell you honestly what makes sense — even if it isn't us.
Free · no commitment · 30 minutes
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