# AI Courses for Legal > Legal · Course catalog > Source: https://ibl.ai/solutions/legal/courses > Last updated: 2026-08-25 ## 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. [Request Access](https://ibl.ai/contact) · [Explore Legal](https://ibl.ai/solutions/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. ## Which AI courses are available for legal? ### LEG-1 — 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. _Foundational · 5 hours across 8 modules · 8 modules_ [Full course design](https://ibl.ai/solutions/legal/course/ai-and-attorney-client-privilege) ### LEG-2 — 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. _Foundational · 4.5 hours across 8 modules · 8 modules_ [Full course design](https://ibl.ai/solutions/legal/course/verifying-ai-legal-research) ### LEG-3 — 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. _Intermediate · 5.5 hours across 8 modules · 8 modules_ [Full course design](https://ibl.ai/solutions/legal/course/contract-review-with-ai) ### LEG-4 — 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. _Advanced · 6 hours across 8 modules · 8 modules_ [Full course design](https://ibl.ai/solutions/legal/course/ai-in-ediscovery) ### LEG-5 — 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. _Intermediate · 4.5 hours across 8 modules · 8 modules_ [Full course design](https://ibl.ai/solutions/legal/course/client-intake-conflicts-with-ai) ### LEG-6 — 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. _Foundational · 5 hours across 8 modules · 8 modules_ [Full course design](https://ibl.ai/solutions/legal/course/ethical-ai-under-aba-model-rules) ### LEG-7 — 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. _Intermediate · 5 hours across 8 modules · 8 modules_ [Full course design](https://ibl.ai/solutions/legal/course/brief-drafting-with-ai) ### LEG-8 — 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. _Intermediate · 4 hours across 8 modules · 8 modules_ [Full course design](https://ibl.ai/solutions/legal/course/billing-time-capture-ethics) ### LEG-9 — 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. _Intermediate · 5 hours across 8 modules · 8 modules_ [Full course design](https://ibl.ai/solutions/legal/course/law-firm-ai-governance) ### LEG-10 — 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. _Foundational · 4.5 hours across 8 modules · 8 modules_ [Full course design](https://ibl.ai/solutions/legal/course/law-firm-ai-cost-model) ## Which frameworks and regulations do these courses cover? ABA Model Rules, Client outside counsel guidelines, Corporate Transparency Act, Court standing orders, EDRM, FRCP Rule 11, FRCP Rule 26, ISO/IEC 42001, Local court rules, NIST AI RMF, State ethics rules, State ethics rules and opinions, TCO analysis, Trust accounting rules, UCC. ## 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.