🤖 The AI Decalogue for ADR Professionals

by Pierfrancesco C. Fasano

Pratical Principles and Operational Guidance for the Responsible Use of Artificial Intelligence in Alternative Dispute Resolution

Introduction: Artificial Intelligence Enters the ADR Arena

Artificial Intelligence is no longer a futuristic concept. It is rapidly becoming an everyday working tool for mediators, arbitrators, adjudicators, expert determiners, case managers, dispute resolution institutions and legal representatives involved in Alternative Dispute Resolution (ADR).

From drafting submissions and analysing evidence to conducting legal research and preparing procedural documents, AI has the potential to increase efficiency, reduce costs and improve access to justice. Yet, the benefits of AI must be balanced against the fundamental values that underpin ADR: neutrality, confidentiality, procedural fairness, transparency, party autonomy and professional responsibility.

Unlike purely administrative activities, ADR involves the exercise of judgement, discretion, empathy, ethics and human understanding. Technology may assist these functions, but it cannot replace them.

The purpose of this Decalogue is therefore to provide practical guidance for ADR professionals who wish to integrate AI into their practice whilst preserving the integrity and credibility of the dispute resolution process.

The principles apply equally to professionals acting as neutral third parties and to those representing parties before mediation, arbitration, expert determination, domain name dispute procedures and other ADR mechanisms.

1. AI Should Enhance Professional Expertise, Not Replace It

Artificial Intelligence should be viewed as a professional assistant rather than a professional substitute.

AI can process information faster than humans, identify patterns across large datasets and generate draft documents within seconds. However, it lacks legal responsibility, ethical accountability and contextual understanding.

The professional remains solely responsible for every procedural choice, legal argument and substantive conclusion.

A lawyer preparing a UDRP Complaint, for example, may use AI to generate an initial draft identifying the three elements required under the Policy. The technology may efficiently organise relevant facts and propose arguments based on prior decisions.

However, the lawyer must personally verify the ownership of trademark rights, the chronology of events, the accuracy of precedents and the strength of the evidence supporting bad-faith registration and use.

Similarly, an arbitrator may use AI to organise exhibits or summarise witness testimony but must independently evaluate credibility, relevance and weight before reaching any conclusion.

AI may support professional judgement. It must never replace it.

2. The Reliability of AI Depends Upon the Quality of the Information Provided

The quality of any AI-generated output is directly linked to the quality of the information supplied.

Incomplete facts, inaccurate data or poorly formulated prompts frequently result in misleading recommendations.

ADR professionals must therefore approach AI with the same discipline they would apply to any junior colleague assisting them.

For example, a mediator seeking assistance in identifying potential settlement options may upload only the claimant’s position paper into an AI platform.

The resulting analysis may unconsciously favour one narrative because the system has not been exposed to the respondent’s perspective.

Likewise, a representative preparing a Request for Mediation who omits critical contractual provisions may receive suggestions that fail to address the true issues in dispute.

The principle is straightforward: comprehensive inputs generate better outputs.

Before relying on any AI-generated content, professionals should verify that the information provided is accurate, balanced, complete and current.

3. Confidentiality and Data Protection Must Remain Paramount

Confidentiality is one of the principal reasons parties choose ADR over litigation.

The use of AI therefore raises important questions concerning data security, privacy and information governance.

Before uploading documents to any AI platform, professionals should understand:

• where data are stored;

• whether information is retained;

• whether data are used for model training;

• who may access the information;

• which contractual safeguards are available.

Consider a mediator conducting a high-value shareholder dispute involving sensitive financial information.

Uploading confidential board minutes, settlement proposals or commercial forecasts into a public AI system could expose the parties to significant risks if appropriate safeguards are not in place.

Similarly, an arbitrator drafting an award should avoid introducing confidential submissions into systems whose security architecture is uncertain.

The use of enterprise-grade, private or institutionally controlled AI solutions is generally preferable whenever sensitive information is involved.

The obligation of confidentiality applies equally in the digital environment.

4. Neutrality and Fairness Must Never Be Delegated to Technology

AI systems are trained on historical data and may inadvertently replicate biases contained within those datasets.

ADR professionals must therefore ensure that technological tools do not compromise neutrality or procedural fairness.

A mediator who asks an AI system to identify “the stronger party” in a dispute risks unconsciously allowing the system’s assumptions to influence the conduct of the mediation.

Likewise, an arbitrator who relies excessively upon AI-generated assessments of witness credibility may undermine the principle that evidence should be independently evaluated.

The role of AI should be limited to supporting analysis, identifying issues and highlighting potential risks.

Decisions affecting procedural fairness must remain human decisions.

Technology should illuminate the path. It should never determine the destination.

5. Use AI in a Proportionate and Purpose-Oriented Manner

Not every task requires Artificial Intelligence.

The decision to use AI should always be proportionate to the complexity, value and objectives of the dispute.

A simple mediation involving a modest consumer claim may require little more than efficient case management and effective communication.

Conversely, a cross-border patent arbitration involving thousands of technical documents may benefit significantly from AI-assisted document review, chronology building and evidence classification.

The question should never be “Can AI be used?”

The proper question is “Should AI be used in this specific context?”

Professionals should ensure that technology serves the dispute resolution process rather than becoming an unnecessary layer of complexity.

6. Transparency and Explainability Are Essential

One of the greatest challenges associated with modern AI systems is the difficulty of understanding how certain outputs are produced

ADR professionals should therefore avoid relying upon recommendations that cannot be reasonably explained.

If a conclusion influences a procedural decision, settlement recommendation or final determination, the professional should be capable of explaining how that conclusion was reached.

An expert determiner assessing a software licensing dispute may use AI to analyse technical documentation and identify patterns within source code.

However, if the expert cannot explain the methodology underlying the AI-generated findings, those findings should be treated with caution.

The legitimacy of ADR depends upon reasoned decision-making.

Parties are more likely to accept outcomes when they understand the reasoning that led to them.

Transparency therefore remains a cornerstone of procedural legitimacy.

7. Human Oversight Must Be Maintained at All Times

Professional responsibility cannot be outsourced.

Regardless of how sophisticated technology becomes, ADR professionals remain accountable for every document submitted and every decision rendered.

Consider a case manager using AI to prepare an Acceptance of Arbitration Request.

If the system incorrectly identifies the applicable arbitration rules, miscalculates deadlines or overlooks a jurisdictional issue, responsibility remains with the human professional.

Similarly, an arbitrator who signs an award containing inaccurate legal references generated by AI cannot attribute the mistake to the software.

Professional accountability is non-transferable.

Human supervision must therefore remain continuous throughout the lifecycle of every ADR proceeding.

8. Select Trustworthy AI Systems and Preserve Digital Sovereignty

Not all AI providers operate according to the same standards.

ADR professionals and institutions should carefully assess the reliability, governance and contractual terms of the technologies they adopt.

Questions worth asking include:

• Who owns the platform?

• Where are the servers located?

• What data protection measures exist?

• Are outputs auditable?

• Can information be permanently deleted?

For example, a mediation institution implementing AI-powered case management tools should ensure that confidential case information remains under institutional control and cannot be accessed by unauthorised third parties.

Digital sovereignty is increasingly becoming a professional and organisational responsibility.

The choice of technology provider is itself an ethical decision.

9. Treat Data as a Strategic Asset

Data have become one of the most valuable resources within modern dispute resolution.

Properly organised and responsibly managed data can improve efficiency, consistency and institutional learning.

ADR centres may use anonymised historical data to identify trends relating to settlement rates, procedural duration, jurisdictional objections or case outcomes.

A provider administering domain name disputes, for instance, may analyse thousands of prior decisions to identify recurring patterns of cybersquatting or common evidentiary deficiencies in complaints.

Similarly, mediation providers may identify factors associated with successful settlements and use those insights to improve training programmes.

However, the value of data depends upon quality, governance and ethical use.

Data should inform better decision-making without compromising confidentiality or independence.

10. Commit to Continuous Learning and Digital Competence

Artificial Intelligence is evolving at an unprecedented pace.

The knowledge acquired today may become outdated within months.

ADR professionals therefore have a continuing duty to develop digital competence and technological literacy.

This does not mean becoming software engineers.

It means understanding:

• how AI systems operate;

• what they can do;

• what they cannot do;

• where risks arise;

• how outputs should be verified.

A mediator who understands prompt engineering may obtain more accurate summaries of party positions, identify negotiation patterns and prepare more effectively for private caucuses.

An arbitrator familiar with AI-assisted research tools may significantly reduce the time required to analyse authorities and procedural submissions.

Yet both professionals must remain aware of the limitations of technology and maintain a critical mindset.

Competence in the digital age requires both curiosity and caution.

Conclusion: The Future of ADR Is Human-Led and AI-Assisted

Artificial Intelligence undoubtedly represents one of the most significant technological developments ever to affect dispute resolution.

Used responsibly, it can improve efficiency, support decision-making, reduce costs, facilitate access to justice and enhance the overall quality of ADR services.

However, ADR is fundamentally a human process built upon trust, impartiality, confidentiality and judgement.

Parties do not seek resolution from algorithms. They seek resolution from professionals capable of exercising wisdom, independence and ethical responsibility.

The future therefore does not belong to AI-driven ADR.

It belongs to AI-assisted ADR, where technology serves as a powerful instrument in the hands of skilled professionals.

The most successful mediators, arbitrators, expert determiners, case managers and legal representatives of the coming decade will not necessarily be those who use the most advanced technology.

They will be those who know when to use it, how to use it and, perhaps most importantly, when not to use it.

That is the true purpose of the AI Decalogue for ADR Professionals: ensuring that innovation strengthens, rather than weakens, the values upon which effective dispute resolution has always depended.