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Module TAL-06 sigil: Talent pillar, Strategy layer, maturity bands 1 to 3.Deterministic sigil for Module TAL-06. The Pillar geometry encodes Talent (Pillar 3); the top-right marker S encodes the Strategy layer; the baseline meter encodes maturity bands 1 to 3.STAL-06

P3

L-E

TAL-06

AI Literacy Curriculum Map

Defines the organisation's AI literacy curriculum, role-based learning paths, and competency verification framework aligned to EU AI Act Article 4.

ModuleoperationalContinuousProtect lensComply lensGrow lens

Audience

AI Governance LeadPeople and Development LeadGeneral CounselLegal OperationsAll Staff

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Tier 1: ~2 hours; Tier 2: 4–6 hours; Tier 3: 12–16 hours; Tier 4: 20–24 hours; annual refresh: 2–4 hours per tier.

Executive Summary

TAL-06 defines the organisation’s AI Literacy Curriculum Map: a structured, role-based programme that builds and verifies AI literacy across all staff, with explicit alignment to EU AI Act Article 4. The module establishes four literacy tiers (Aware, Practitioner, Specialist, Expert), six role-based curriculum tracks, and twelve core modules covering AI fundamentals, risk taxonomy, governance, tool evaluation, Shadow AI, agentic AI, ethics, regulation, and incident response. It specifies onboarding and annual refresh requirements, competency verification methods, and evidence retention standards under the Defensibility Practice Standard (DPS). Completion and assessment records form primary compliance evidence that AI governance is embedded in staff capability, not just policy. TAL-06 also links literacy outcomes to risk mitigation across all nine Risk Taxonomy 2026 classes and to ROAI metrics for Protect, Comply, Grow, and Transform. The Curriculum Map is telemetry-ready and integrates with HR role inventories, the AI Bill of Materials, and incident response playbooks to provide a defensible, auditable AI literacy regime for legal organisations.

Metric 0 Pre-Check

Before implementing the AI Literacy Curriculum, confirm two gates:

  • Gate 1 — Staff Role Inventory Available: A current staff role inventory exists with headcount and role classification for each role group in scope. If missing, obtain current data from HR before proceeding.
  • Gate 2 — LMS Access Confirmed: A delivery mechanism exists for structured training (LMS, video platform, or structured in-person programme). If no LMS is available, document the alternative delivery method before launch.

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1. Purpose

TAL-06 defines the organisation’s AI literacy programme: the structured set of learning experiences, competency expectations, and verification processes that ensure every person dealing with AI systems on the organisation’s behalf has sufficient understanding to use those systems safely, responsibly, and in compliance with professional and regulatory obligations.

It operationalises EU AI Act Article 4, which requires deployers to take measures to ensure, to their best extent, a sufficient level of AI literacy among staff and other persons dealing with AI systems on their behalf.

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2. Strategic Context

Legal organisations face a structural AI literacy deficit. Most practitioners received no formal AI training, yet now rely on AI tools for research, drafting, review, and workflow automation. These tools require judgements about when to trust, verify, escalate, or refuse AI outputs.

This gap creates compounding risk: unchecked hallucinations, undisclosed AI use, misinterpreted monitoring data, and unmanaged Shadow AI. TAL-06 is the structured response, translating Article 4 into a concrete curriculum, competency expectations, and evidence regime tailored to legal practice.

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3. Operating Principles

  1. Role-Proportionate Literacy: Requirements scale with exposure to AI systems and governance responsibility.
  2. Competency, Not Completion: Demonstrated capability is required; hours alone are insufficient.
  3. Annual Refresh Minimum: Literacy must keep pace with AI and regulatory change.
  4. Onboarding Is the First Gate: No AI BoM tool access before tier-appropriate completion.
  5. Evidence Is the Proof: Completion, scores, and gap analyses are primary Article 4 evidence and must be retained for 5 years (or longer for Expert records).
  6. Curriculum Reflects Real Tools: Training must reference the organisation’s actual AI tools, use cases, and governance artefacts.

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4. Four Literacy Tiers

Tier 1 — AI Aware (All Staff)

Audience: every employee.

Duration: ~2 hours onboarding; 1-hour annual refresh.

Outcomes: recognise AI use in context; know governance contact; understand Shadow AI reporting; understand that AI outputs require human judgement.

Tier 2 — AI Practitioner (All AI Tool Users)

Audience: all users of AI BoM-registered tools.

Duration: 4–6 hours onboarding; 2-hour annual refresh.

Outcomes: state approved use cases and prohibitions; recognise hallucinations and bias indicators; know escalation pathways; apply human-in-the-loop requirements.

Tier 3 — AI Specialist (Governance, IT Security, Legal Ops Leads)

Audience: AI Governance team, IT Security, Legal Ops leads.

Duration: 12–16 hours onboarding; 4-hour annual refresh.

Outcomes: run GOV-09 evaluations; complete DAT-06 registrations; interpret monitoring and bias reports; run Shadow AI discovery sweeps; classify Shadow AI severity.

Tier 4 — AI Expert (AI Governance Lead, General Counsel, CISO)

Audience: senior decision-makers and governance authorities.

Duration: 20–24 hours onboarding; 4–6 hour annual refresh.

Outcomes: chair Agentic Governance Panels; apply Risk Taxonomy 2026 across all 9 classes; assess Class 6 incidents; engage regulators and clients; identify Article 4 gaps and direct remediation.

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5. Role-Based Curriculum Tracks

Track 1 — General Counsel and Senior Partners (Tier 4)

Required modules: all 12.

Emphasis: regulatory landscape, ethics and liability, agentic AI governance, incident response.

Verification: written assessment + GOV-08 Panel simulation.

Track 2 — Legal Associates and Paralegals (Tier 2)

Required modules: 1–6, 9.

Emphasis: AI fundamentals, GOV-02 approved use, hallucination and verification, Shadow AI reporting.

Verification: module-level multiple-choice assessments.

Track 3 — Legal Operations (Tier 3)

Required modules: 1–10.

Emphasis: AI BoM registration, tool evaluation, Shadow AI discovery, monitoring and reporting.

Verification: written assessment + sample DAT-06 entry exercise.

Track 4 — AI Governance Lead (Tier 4)

Required modules: all 12, no optional content.

Verification: written assessment, GOV-08 Panel simulation, peer review of a GOV-09 evaluation.

Track 5 — IT Security (Tier 3)

Required modules: 1, 2, 5–8, 11.

Emphasis: agentic AI risk, technical controls and kill-switches, Shadow AI discovery, incident response.

Verification: written assessment + kill-switch scenario exercise.

Track 6 — Risk and Compliance (Tier 3)

Required modules: 1–6, 9–12.

Emphasis: risk taxonomy, regulatory landscape, ethics, DPS evidence standards.

Verification: written assessment.

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Defensibility Evidence

TAL-06 operates at DPS Tier 3 (Defensible) across all three lenses. Adoption lens: Curriculum Module Completion Tracker records per staff member, competency assessment scores and pass dates, onboarding literacy completion records for all new hires, annual AI Literacy Gap Analysis reports, and EU AI Act Article 4 compliance evidence packages — 5-year retention. These records are the primary Adoption lens evidence that AI governance principles are embedded in staff capability, not only in policy documents. Sophistication lens: curriculum design documentation, learning objectives and assessment design records, annual curriculum review and update records, and Tier 3–4 practical exercise assessment records — 5-year retention. Defensibility lens: Tier 4 Expert assessment records for AI Governance Lead and General Counsel, GOV-08 Panel simulation assessment records, and records of remediation actions for staff who failed competency verification — 7-year retention. Evidence available within 48 hours of regulatory, legal, or client inquiry. Annual evidence accessibility audit required. TAL-06 completion records also serve as the EU AI Act Article 4 ‘measures taken’ documentation for regulatory inquiry.

Operational Artefacts

  • AI Literacy Self-Assessment Survey

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    Gated

  • Curriculum Module Completion Tracker

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    Gated

  • EU AI Act Article 4 Compliance Evidence Template

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    Gated

  • Role-Based Learning Path Assignment Matrix

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    Gated

  • Annual AI Literacy Gap Analysis Template

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    Gated

Framework Crosswalk

EU AI Act

European Union

TAL-06 is the primary mechanism to satisfy Article 4 obligations on AI literacy for deployers, with tiered training, competency verification, and evidence retention.

ISO/IEC 42001

ISO/IEC

Supports competence and awareness requirements in an AI management system by defining role-based literacy, assessments, and records.

IBA International Principles on the Use of AI by Lawyers

International Bar Association

Informs competency expectations for legal professionals using AI, especially around limitations, bias, confidentiality, and liability.

Operational Details

Inputs

  • · DAT-06 AI Bill of Materials (AI BoM) Register
  • · GOV-02 AI Use Policy
  • · GOV-08 Agentic Governance Charter
  • · GOV-09 AI Evaluation Harness Specification
  • · Risk Taxonomy 2026 (all 9 classes)
  • · EU AI Act Article 4 compliance requirements
  • · Staff role inventory and headcount by role group
  • · Prior training completion data

Outputs

  • · AI Literacy Curriculum Map (firm-specific instance)
  • · Role-based learning path assignments per staff member
  • · Competency verification records per staff member per literacy tier
  • · EU AI Act Article 4 compliance evidence package
  • · Annual AI literacy gap analysis and curriculum refresh report
  • · Onboarding literacy completion records for new hires
  • · Shadow AI and incident response learning metrics

Owner

AI Governance Lead + People and Development Lead

Telemetry & Observability

Telemetry-ready

Key Takeaways

  • Define AI literacy requirements across four tiers aligned to role exposure and governance responsibility.

  • Map every staff role to a tiered curriculum track with clear learning objectives and completion criteria.

  • Deliver twelve core modules covering AI fundamentals, risk, governance, ethics, regulation, and incidents.

  • Verify competency through quizzes, written assessments, simulations, and practical exercises, not hours logged.

  • Use completion and assessment records as primary EU AI Act Article 4 and DPS Adoption lens evidence.

  • Run onboarding and annual refresh cycles, plus event-triggered updates on regulatory or risk changes.

  • Retain AI literacy evidence for 5–7 years and ensure retrieval within 48 hours of inquiry.

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Module Details

Type

Pillar

P3

Layer

E · Execution

Duration

Tier 1: ~2 hours; Tier 2: 4–6 hours; Tier 3: 12–16 hours; Tier 4: 20–24 hours; annual refresh: 2–4 hours per tier.

Advisory

Yes

Access

enterprise

Maturity Bands

FoundationalOperationalIntegratedOptimisedDefensible

Risk Classes Mitigated

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