Designing an AI Arbitration Protocol: Questions Before Tools

What questions should an arbitration technology protocol resolve?

A useful protocol identifies permitted tasks, the materials each tool may access, disclosure triggers, verification duties, party opportunities to respond and the human responsible for decisions. Start with the applicable agreement, law and procedural framework; then negotiate operational detail. A general AI policy is not automatically the protocol for a particular dispute.

Identify what already governs

Create a source list for the arbitration agreement, seat, applicable procedural rules and existing orders. Then classify each proposed AI task: administrative assistance, party advocacy, evidence processing or tribunal assistance. Different uses can raise different questions.

SVAMC's 2024 guidelines are a principle-based resource that may be adopted in whole or part. They do not displace mandatory rules. [S1]

• Who proposes the tool and for whose work?
• Which existing provision authorizes, limits or leaves the use unresolved?
• Will the output become a submission, an aid to review or part of the decision process?
• Who decides an objection to the proposed use?

Compare protocol choices

The choices below are editorial design options. Their suitability depends on the case, the parties' agreement and the tribunal's authority.

• Record boundary: restrict the tool to identified case documents, or specify when external research is allowed and how it is disclosed.
• Data boundary: identify permitted hosting, retention and access; address confidential or restricted material expressly.
• Disclosure trigger: identify uses that require notice, the information disclosed and the timing.
• Verification: assign responsibility for quotations, citations, calculations and exhibit references.
• Correction: establish how a party can identify an error and obtain a human response before reliance.

Synthetic protocol issue: a chronology generator

Both fictional parties propose a tool that creates a timeline from a shared document set. Party A wants every generated event treated as established. Party B wants an opportunity to challenge the dates. A workable research proposal is to label each event as a document-derived assertion, attach a source location and keep disputed interpretations separate.

Example entry: Document D12, page 3, contains a letter dated March 8; whether the recipient received it that day is unresolved. The tool may report the document date. It should not silently convert that date into a finding about receipt.

• Input set: D1–D20, version locked for the demonstration.
• Output fields: event, source, date type, uncertainty and challenge status.
• Human review point: before a disputed event enters an agreed chronology.
• Revised-output rule: preserve the prior entry and reason for correction.

State the decision boundary explicitly

AAA's published AI Led page says a human arbitrator decides the outcome and issues the final award. That describes the provider's stated framework, not every arbitration arrangement. [S2]

For a proposed protocol, make the boundary observable: identify who reviews each output, what sources they see and how the record shows that a disputed issue was addressed. A sentence saying human oversight is weaker than a defined review step with a named responsibility.

• Before adoption: resolve outstanding objections and applicable-law questions.
• Before use: confirm the approved tool configuration and input set.
• Before reliance: identify verification and any opportunity for comment.
• After correction: identify which downstream materials need revision.

Scope and limitations

Research and proposed process design. This page is not an arbitral institution, a procedural order or advice on a pending arbitration.

All protocol examples are proposals, not enforceability conclusions. No arbitration services, affiliation or case administration are offered by this page.

Sources

1. SVAMC Guidelines on the Use of Artificial Intelligence in Arbitration, First Edition (2024) — Principle-based guidelines covering confidentiality, disclosure, diligence, non-delegation and due process; adoption is case-specific. Checked 2026-11-05
2. AAA AI Led Rules, Forms, and Fees — Provider describes AI assistance and states a human arbitrator decides the case and issues the final award. Checked 2026-11-05

Explore further

Readers exploring agent-assisted legal workflows can continue to Agentic Attorney at https://agenticattorney.com/. The protocol questions here offer a way to examine human review and action boundaries without implying that Agentic Attorney administers arbitrations. Explore Agentic Attorney.