AI Courses for Legal
AI training for law firms and in-house teams — privilege, verification, contract and discovery work, ethics under the Model Rules, and the firm governance behind all of it.
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The Short Answer
ibl.ai publishes ten AI courses for legal, each a complete specification — module outlines, learning outcomes, assessment design, hands-on labs, and cited primary sources. Request access to run one with your cohort. They run on infrastructure where you own all the code and the data, model-agnostic across any LLM, with no per-seat pricing.
On ibl.ai you own all the code and the data, run it model-agnostic across any LLM, and pay with no per-seat pricing — so you can deploy anywhere, from your own cloud to a fully air-gapped network.
Every course publishes its full design below — module outlines, learning outcomes, assessment, and the primary sources it is grounded in.
Which AI courses are available for legal?
Each course below publishes its complete design — an eight-module outline with objectives and hands-on activities, a capstone, assessment criteria, the agents it uses, and the primary sources it is grounded in. Open any one to read the full specification.
AI and Attorney-Client Privilege: The Architecture Question
Whether sending client material to a third-party AI service waives privilege — the confidentiality analysis, the reasonable-efforts standard, and the deployment that avoids the question.
Verifying AI Legal Research: Never Cite a Hallucination
A verification protocol for AI-assisted research — why fabricated citations happen, how to catch them every time, and the supervision structure that makes it non-optional.
Contract Review with AI: Redlining, Risk, and Playbooks
Encode your firm's negotiating positions into an AI review workflow — clause extraction, deviation detection, risk scoring, and where a partner still reads every word.
AI in eDiscovery: TAR, Privilege Screening, and Defensibility
Use AI across the discovery lifecycle while keeping the process defensible — technology-assisted review, privilege screening, validation, and the meet-and-confer record.
Client Intake and Conflicts Checking with AI
Faster intake without a missed conflict — entity resolution across a matter history, adverse party detection, and why the conflicts decision stays human.
Ethical AI Use Under the ABA Model Rules
A rule-by-rule walk through AI in practice — competence, confidentiality, supervision, fees, and communication — with a firm policy you can adopt.
Brief Drafting with AI: Structure, Citation, and Review
Where AI genuinely accelerates motion practice — outlining, fact-section assembly, authority organization — and the review gates that keep a filing safe.
Billing, Time Capture, and the Ethics of the Automated Entry
AI time capture and narrative drafting — reconstructing the day accurately, writing entries clients approve, and the fee question AI efficiency creates.
Law Firm AI Governance: Policy, Training, and Client Consent
Stand up firm-wide AI governance — approved tools, mandatory training, client disclosure, outside counsel guidelines, and the audit trail an insurer will want.
The Law Firm AI Cost Model: Per-Lawyer Seats vs an Owned Stack
What legal AI actually costs — per-lawyer licensing against usage-based and self-hosted alternatives, modeled at real firm sizes, with realization impact stated honestly.
Which frameworks and regulations do these courses cover?
Across the legal catalog, courses are grounded in the primary text of each of the following — the regulation or standard itself, not a summary of it.
What ships with every course?
Facilitator guide
Session-by-session running order, discussion prompts, and the questions that reliably derail a room.
Learner workbook
Exercises, checklists, and the templates each module's activity produces.
Hands-on lab environment
A sandboxed ibl.ai deployment so exercises run against real agents, not screenshots.
Assessment bank
Scenario questions and rubric criteria mapped to each stated learning outcome.
Source bibliography
Every primary regulation and standard cited on this page, linked and dated.
Why run AI training on a platform you own?
You own the course, not a licence to it
Course content, learner data, and the platform run inside your perimeter — you own all the code and the data.
Model-agnostic delivery
Run the course's AI components on any LLM — Claude, GPT, Llama, Gemini, Command — and switch anytime.
No per-seat training licences
Usage-based or self-hosted, so cost tracks actual use rather than headcount.
Deploy anywhere
Cloud, private VPC, on-premise, or fully air-gapped — including for cohorts that cannot use public AI tools.
Frequently asked questions
What AI courses does ibl.ai offer for legal?
10 courses covering ABA Model Rules, Client outside counsel guidelines, Corporate Transparency Act, Court standing orders, EDRM, FRCP Rule 11 and more — for example: AI and Attorney-Client Privilege: The Architecture Question; Verifying AI Legal Research: Never Cite a Hallucination; Contract Review with AI: Redlining, Risk, and Playbooks. Each publishes its full design: modules, learning outcomes, assessment, and the primary sources it is grounded in.
How do we get access to these courses?
Request access and we will set it up for your cohort — hosted by ibl.ai, or running against your own deployment. Tell us which courses, the group size, and whether it needs to run inside your own perimeter.
Can we run legal AI training on our own infrastructure?
Yes. ibl.ai is model-agnostic and deploy-anywhere — cloud, private VPC, on-premise, or fully air-gapped — and you own all the code and the data. Cohort data and anything learners upload stay inside your perimeter, which matters for legal teams that cannot send work to a public AI tool.
How much does AI training for legal cost?
There is no per-seat pricing — you pay for usage, or self-host and pay only for the infrastructure, so a large rollout does not cost one licence per person. 1.6M+ users across 400+ organizations run the platform this way, including NVIDIA, MIT, and Syracuse University.
Who are these legal courses written for?
Practitioners rather than general audiences — each course names its audience and prerequisites explicitly, and levels range across foundational, intermediate, advanced.
Request access to the Legal courses
Tell us about your cohort and we will confirm timing — or discuss running any of these against your own ibl.ai deployment, where you own all the code and the data.