Master AI Lawyer Certification · Level 1
Build a responsible AI foundation for research, drafting, review, litigation, client service, law firm operations, and professional judgment.
Six-level pathway
Levels are completed in order. Each has its own modules, knowledge checks, final examination, and certificate; Levels 3 to 5 add a reviewed capstone and Level 6 a teach-back assignment.
Level 1 · Foundations
40 hours · 16 modules · Open for enrollment
Level 2 · Certified Professional
36 hours · 14 modules · Open for enrollment
Level 3 · Advanced Operations
34 hours · 14 modules · Open for enrollment
Level 4 · Master Certification
34 hours · 14 modules · Open for enrollment
Level 5 · Automation Specialist
34 hours · 14 modules · Open for enrollment
Level 6 · Certified Instructor
34 hours · 14 modules · Open for enrollment
Course outline
Each module connects practical AI capability to confidentiality, competence, verification, supervision, and defensible legal work.
Module 01
A working mental model of artificial intelligence for legal work: what machine learning, generative AI, language models, retrieval, agents and document AI actually do, taught through everyday law-office tasks, so you can tell what a tool is doing before you trust it with a matter.
Module 02
Why a fluent AI answer can still be wrong, how fabricated citations and stale law arise, why the same question can get two answers, and how to build the habit of doubt that keeps AI-assisted legal work verifiable. Taught with measured error rates, real sanctions decisions and annotated fictional examples.
Module 03
Learn what the duty of confidentiality actually covers, where an AI tool puts the text you give it, how consumer and enterprise accounts differ on training and retention as published on a stated date, how privilege and work-product protection can be put at risk when a third-party model is in the room, and a recorded decision method for asking "can I put this into this system?" before you type.
Module 04
Apply the duties of competence, communication, fees, candor and supervision to generative AI in daily practice, then build and keep a record of what your own licensing jurisdiction and your forum actually require, because the answers differ from state to state and from judge to judge.
Module 05
Run legal research with AI the way a careful lawyer runs it: a fixed eight-stage workflow from question to work product, a clear line between an assistant and an authority, a verification and citator step for every citation, and a provenance log the file can defend.
Module 06
A nine-part architecture for legal prompts, a recorded method for testing and improving them, and ten working prompt patterns for summaries, chronologies, issue spotting, deposition preparation, contracts, discovery, research, memos, policy analysis and client communication, each built so that a licensed attorney can verify the output quickly.
Module 07
Hands-on drafting and review with AI across memoranda, correspondence, internal policies, contracts, demand letters, discovery papers and deposition outlines, applying one chain every time: AI draft, lawyer review, authority verification, factual verification, revision, approval, with the record that proves it was followed.
Module 08
Hands-on practice running classification, extraction, chronology, summarisation, contradiction-finding and deposition preparation across a large fictional document set, with the privilege, metadata, custody and validation controls that keep an AI-assisted review defensible.
Module 09
Apply AI to the operational side of a practice, from intake and scheduling through knowledge management, matter summaries, billing narratives, marketing and FAQs, with the intake, supervision, advertising and fee rules that govern each use and a ranked risk table that separates the routine automations from the ones that need a lawyer to sign off.
Module 10
Turn one-off AI chats into controlled, repeatable processes. Learn the seven-stage workflow (input, classification, AI task, verification, human approval, output, audit record), draw six common legal tasks through it with risk levels and control points, and design approval gates and audit records that people will actually use.
Module 11
How AI agents differ from chatbots once they can call tools, browse, read files, send email and execute actions; a risk ladder from read-only to external action; the human-in-the-loop control points, least-privilege identities, logs and kill switches a firm needs; and how prompt injection turns an agent against its owner.
Module 12
Learn to read an AI vendor's security and privacy claims the way a reviewing attorney reads a contract: what SOC 2, ISO/IEC 27001 and 42001 and the NIST frameworks actually prove, how data storage, residency, training, retention and deletion really work, what identity, logging and API controls to demand, and how subprocessor, breach-notification and exit terms protect client information.
Module 13
Why a law office needs a written AI policy, the eleven sections it must contain, and how to draft clauses on approved tools, prohibited data, acceptable use, verification, disclosure, oversight, supervision, records, incidents, vendors and training that people can actually follow. The learner assembles a basic policy for a fictional firm.
Module 14
Treat AI adoption as a business process rather than a purchase: start from a measured problem, map the workflow, classify the risk, run a chartered pilot with paired speed and quality metrics and human controls, then read the results honestly and decide to expand, modify or stop.
Module 15
Eight hands-on exercises on fictional material: audit an AI intake, mark up a flawed research memo, expose fabricated citations, rebuild a weak prompt, check an AI contract analysis, design a secure workflow, grade a vendor questionnaire and draft a firm AI-use policy.
Module 16
Build the sixteen-section Legal AI Implementation Plan a managing partner or general counsel could adopt: one organisation, one workflow, a measured baseline, a labelled risk and confidentiality analysis, review and verification controls, vendor findings, a pilot, metrics, stop signals and a review cycle.
Learning outcomes
Assessment
The final assessment measures how well you apply the curriculum to realistic legal research, drafting, review, and practice-management scenarios.
Start with the professional duties, controls, and applied workflows covered across the complete Level 1 curriculum.
MALC is an independent professional education program offered by AI Coalition Network. It is not a professional license, does not replace licensing or regulatory requirements, and is not endorsed by any regulator, licensing authority, or professional body. No professional education hours or approvals are claimed.