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Master AI Lawyer Certification · Digital course

MALC Level 3 — Advanced AI Legal Operations

Self-paced enrollment in Level 3 of the Master AI Lawyer Certification: Design, document, and measure AI-assisted legal workflows at the level of the practice group and the firm: risk-tiered task design, enforceable standard operating procedures, retrieval over firm knowledge, e-discovery and transactional operations, quality assurance, and escalation, ending in a workflow redesign capstone.

Modules
14
Estimated time
34 hours
Access
Self-paced

Single-user enrollment

$549.00

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

    From Task to System: The Operations View of Legal AI

    Level 3 opens with the shift from doing one AI-assisted task well to running AI-assisted work as a system: why frequency, variance and distance from the reviewer change the risk of a task that was safe once, what separates a personal habit from a firm operation, the four properties operations needs, and why programmes stall between pilot and practice.

  2. Module 02

    Mapping a Matter Workflow Before Automating It

    Before a workflow can be automated it has to be described as it actually runs: the undocumented steps, the exceptions that turn out to be the real work, who decides what, where the elapsed time really goes, and a measured baseline you can be compared against afterwards.

  3. Module 03

    Risk-Tiering Legal AI Tasks by Consequence and Reversibility

    Tiering answers one question: how much human review does this task need, and from whom? This module scores tasks on consequence and reversibility, applies the confidentiality and verifiability override flags, attaches review depth, reviewer role, records and escalation to each tier, and keeps a register that stays honest.

  4. Module 04

    Writing an SOP a Supervising Attorney Can Enforce

    How to write a procedure that actually binds: what separates an enforceable SOP from an aspirational policy, how to write for a person who has never done the task, the four parts most procedures omit — exceptions, stop conditions, an owner and a review date — and what to do when the rule beneath a procedure moves.

  5. Module 05

    Building a Retrieval Corpus From Firm Precedent

    How a firm turns its own precedent into a retrieval corpus without turning its worst drafting into house authority: what earns a place, how jurisdiction and currency are tagged, how legal documents are chunked without severing their meaning, and the review gate a document passes before it can answer.

  6. Module 06

    Retrieval Failure Modes: Stale Law, Wrong Jurisdiction and Poisoned Documents

    The ways a retrieval system fails while looking like it is working: law that stopped being true, the right rule from the wrong jurisdiction, a superseded form, and documents that carry instructions into the model. Each lesson covers the failure, the defences that reduce it, and how a firm detects and responds when it happens anyway.