AI in arbitration is moving faster than mediation rules — Australian dispute teams should prepare now

Danny Jovica
October 06, 2026
Australian commercial mediation is increasingly shaped by what happens in arbitration. Large contracts, cross-border disputes and institutional rules often influence how lawyers, mediators and parties think about confidentiality, process design, evidence and procedural fairness. Artificial intelligence is now entering that conversation in a more formal way.

Several leading arbitral institutions, including the LCIA, ICC, SIAC and UNCITRAL, do not presently contain express provisions dealing with AI. That does not mean AI is irrelevant to those proceedings. Existing procedural powers can still accommodate the careful use of AI tools, particularly where parties agree on scope, disclosure, confidentiality and responsibility for outputs.

Other institutions have moved further. The American Arbitration Association has developed its own AI product and published rules governing its use. CIArb has produced practitioner guidance, including template documents. The SCC has issued concise guidance connected to European legislative settings. These approaches show three different models: proprietary tool governance, practical practitioner guidance, and regulation-linked institutional guidance.

For Australian commercial disputants, the important point is not whether arbitration rules mention AI expressly. The real issue is whether parties and neutrals have a clear process for managing AI use before it creates a dispute within the dispute. AI may assist with document review, chronology preparation, issue mapping, translation, research and drafting support. It may also create risks around confidentiality, privilege, accuracy, bias, data security and undisclosed reliance.

Those risks matter in mediation as much as arbitration. Australian mediations commonly depend on frank confidential exchange, carefully prepared position papers, expert material, commercial modelling and sensitive settlement authority. If AI tools are used without agreement or adequate controls, parties may later argue about whether confidential material was exposed, whether submissions were machine-generated, or whether inaccurate outputs affected negotiation strategy.

The practical response is to address AI early. Mediators and parties should consider whether AI use will be permitted, whether it must be disclosed, what categories of material may be uploaded, who remains responsible for checking accuracy, and whether any AI-assisted material can be relied upon in the mediation. These matters can be dealt with in mediation agreements, confidentiality protocols, procedural directions or pre-mediation correspondence.

In-house counsel should also align dispute protocols with organisational AI policies. It is no longer enough to leave AI use to external lawyers, consultants or internal teams without coordination. Contracting parties can go further by including AI-related process provisions in dispute resolution clauses, particularly in technology, infrastructure, resources, finance and cross-border supply arrangements.

The Australian takeaway is clear: AI does not need to be banned, but it does need to be governed. The institutions now addressing AI in arbitration are signalling a broader shift in dispute resolution practice. Australian mediators and commercial parties who develop practical AI protocols now will be better placed to preserve trust, confidentiality and procedural fairness in future disputes.

If your organisation is preparing for a complex commercial mediation and wants a disciplined process for managing AI, confidentiality and settlement strategy, contact Mediator Life at https://mediator.life/contact.

Sources:
- American Arbitration Association, Chartered Institute of Arbitrators and Stockholm Chamber of Commerce Arbitration Institute frameworks for the use of AI in arbitration