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ADR Intelligence · October 2026

Preview draft for review — not yet published

AI Governance and Evidence in Dispute Resolution: An Update for ADR Institutions

When AI informs a decision, what should people be able to understand, question and review? Explore what that means for ADR institutions — both as users of AI and as forums for disputes about it.

By Ranse Howell · Two editions, one shared framework

Explore the two editions Join the conversation →
From AI use to accountable review
  1. The process

    Where does AI shape the process?

  2. The evidence

    What can be explained and checked?

  3. The people

    Who can question the outcome?

Questions for discussion, not a compliance checklist or a description of a Regitech service.

Choose your starting point

The essentials, or the reasoning behind them?

Both editions explore the same seven factors. Start with the overview to orient yourself; choose the expanded analysis to examine the context and implications in more depth.

6 min read

Headline overview

Get the key themes, why they matter for ADR, and the dates to monitor — a starting point for briefing colleagues or identifying what deserves closer attention.

An excerpt from the overview

AI governance is moving toward more demonstrable evidence, independent scrutiny and meaningful human recourse. This bulletin considers what those themes may mean for ADR institutions as both users of AI and forums for resolving AI-related disputes — across borders, not only within a single jurisdiction.
Read the headline overview
14 min read

Expanded analysis

Examine the regulatory context, distinctions between institutional roles, evidence standards and human recourse — for a deeper governance or team discussion.

An excerpt · Incentives to adopt

For ADR institutions, the question is not simply whether AI can make a process faster. It is whether the process remains understandable, contestable and accessible. Knowledge sharing can reduce duplicated effort; collaboration can help smaller organizations participate without requiring them to surrender local judgment.
Read the expanded analysis

Prefer to read offline? Overview PDF · Expanded PDF · Earlier expanded Word draft

PDFs are the revised designed review editions. Word files are earlier drafts and do not match the revised PDFs. The overview PDF is a one-page companion to the longer online overview.

Explore before you read

Which question matters to you?

Open a factor for a short introduction, then go directly to its expanded analysis. These are connected lenses, not a scorecard.

1Supranational & cross-border frameworks

Map the cross-border reach of rules without assuming one global standard.

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2National & jurisdictional action

Distinguish enacted duties, future commencement dates and policy proposals.

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3The market power principle

Consider how client and supplier due diligence can extend governance expectations.

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4The financial case

Assess fraud, litigation, insurance and access to commercial relationships.

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5Governance as an enabler

Connect provenance, records and explanation to independent review.

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6People & recourse

Preserve a meaningful route to understand, challenge and review a decision.

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7Incentives to adopt

Connect responsible adoption to trust, collaboration and access to justice.

Explore this factor →

Add your perspective

What would meaningful human review look like in your setting?

You do not need to finish either edition to take part. Share a question, a nonconfidential experience, or a theme you would like a future bulletin to explore.

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Growing

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Observation vs. Judgment

Challenge:

Generational & cultural biases distort observations

Solution:

Use Behavioral Signals vocal analytics to flag judgmental language

Intent vs. Impact

Challenge:

Assumptions reflect confirmation bias & AI misinterpretation

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Challenge:

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Continue the Conversation

Share your questions about AI governance, evidence and human review in dispute resolution.