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Master AI Lawyer Certification · Digital course

MALC Level 4 — Master AI Lawyer Certification

Self-paced enrollment in Level 4 of the Master AI Lawyer Certification: The master credential: firm-level governance and accountability for legal AI, vendor and model assessment, security, confidentiality and privilege controls, advanced litigation, transactional and regulatory applications, complex scenario analysis, independent verification, leadership, and a governance and scenario-defence capstone.

Modules
14
Estimated time
34 hours
Access
Self-paced

Single-user enrollment

$649.00

One-time purchase

Enrollment includes

Practical AI training built for legal work

Evaluate AI tools for legal use cases, limitations, confidentiality, privilege, and professional-responsibility risks.

Create reliable prompts and verification procedures for research, drafting, analysis, and review.

Use AI-assisted workflows without delegating legal judgment or client responsibility to a model.

Protect client information through secure tool selection, access controls, and documented supervision.

Curriculum at a glance

From AI fundamentals to the future of legal practice

View all 14 modules
  1. Module 01

    What a Firm Owes: Accountability for AI Across a Partnership

    Level 4 opens with accountability itself: why a partnership diffuses responsibility by design, what it means for a named licensed person to own an AI-assisted output nobody senior has read, how accountability differs from blame, and the failure in which every partner assumed somebody else was answerable.

  2. Module 02

    Writing the Firm AI Governance Programme

    The governance programme as an instrument you can actually write: the parts it must contain, the permitted-use inventory that turns a policy into a list of approved things, who decides and who may overrule, the review cycle that keeps it alive, and why most firm AI policies read well and fail as governance.

  3. Module 03

    The AI Decision Record and Surviving Partner Turnover

    How a firm keeps the reasoning behind its AI decisions after the people who reasoned have gone: why an undocumented decision decays into folklore, what a decision record must capture, how review triggers and superseding keep it honest, and how a handover proves the record still works.

  4. Module 04

    The Jurisdictional Map of Legal AI Obligations

    How a firm works out which authorities on legal AI actually reach it, records what each one says without flattening the differences, keeps the map current as guidance is issued and revised, and can show what was read, in what version, by whom and on what date.

  5. Module 05

    Due Diligence on a Legal AI Supplier

    How a firm interrogates a legal AI supplier before it signs: the questions that produce an answer rather than a brochure, how to read a security attestation for what it actually covers, how to get training, retention and residency commitments into the contract, and what to do when a supplier will not answer.

  6. Module 06

    Testing Evidence, Benchmarks and What "Validated" Means

    Evidence literacy for people who sign contracts: what a benchmark score measures and what it cannot, who ran the test and who declined to take part, why retrieval reduces rather than removes fabrication, and why "validated" is usually a marketing word until a firm builds its own evidence.