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P1

ROAI Matrix Framework

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Initial setup 2–4 weeks; 1–2 days per quarter for updates and reporting

1. Purpose and Positioning

The ROAI (Return on AI Investment) Matrix Framework is the canonical measurement instrument for quantifying AI value in legal departments. It provides a consistent, defensible way to evidence that AI investments are:

  • Delivering measurable operational and financial benefits.
  • Building sustainable capability and healthy culture.
  • Reducing risk and strengthening market and regulatory defensibility.

ROAI is a core component of the Advanta Legal AI OS and feeds directly into the Defensibility Posture Statement (DPS), AI Bill of Materials (AI BoM), and Risk Taxonomy 2026.

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2. The Four ROAI Quadrants

ROAI balances short-term efficiency with long-term strategic value across four quadrants:

  • Q1: Operational Gains — Time saved, efficiency, throughput.
    • Timeline: 0–6 months
    • Indicative weighting: 25–30%
  • Q2: Financial and Client Gains — Cost reduction, delivery speed, client satisfaction.
    • Timeline: 3–12 months
    • Indicative weighting: 30–35%
  • Q3: Capability and Culture Gains — AI literacy, reduced burnout, innovation.
    • Timeline: 6–18 months
    • Indicative weighting: 20–25%
  • Q4: Strategic and Reputational Gains — Risk reduction, compliance, market differentiation.
    • Timeline: 12–24+ months
    • Indicative weighting: 20–25%

Each quadrant is scored 0–100 and combined via agreed weightings into an overall ROAI score.

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3. Quadrant 1 — Operational Gains

Objective: Quantify immediate productivity and quality improvements from AI.

Core metrics and example targets:

  • Time reduction (% reduction in task completion time)
    • Document review: target −40%
    • Contract drafting: target −60%
  • Process automation rate (% of manual tasks automated)
    • NDA reviews: 85% automated
    • Compliance checks: 70% automated
  • Throughput increase (% increase in work volume handled)
    • Contracts processed per month: +50%
    • Research queries handled: increase
  • Error reduction (% decrease in errors and rework)
    • Contract errors: −90%
    • Compliance misses: −75%

Key Takeaways

  • Measure AI value across four quadrants: operational, financial/client, capability/culture, and strategic/reputational.

  • Establish robust pre-implementation baselines 30–90 days before AI deployment for all key metrics.

  • Use Quadrant 2 to attribute financial impact to specific AI systems via the AI Bill of Materials.

  • Use Quadrant 4 metrics mapped to Risk Taxonomy 2026 as primary evidence for the DPS Defensibility lens.

  • Apply the ROAI scorecard template for quarterly reporting, including weighted scores and payback period.

  • Tailor ROAI targets by organisation size while keeping a consistent canonical measurement approach.

  • Integrate ROAI outputs with governance artefacts including GOV-01, GOV-03, GOV-05, AI BoM, and STR-07.

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Module Details

Type

Pillar

P1

Duration

Initial setup 2–4 weeks; 1–2 days per quarter for updates and reporting

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