Digital Assets, Smart Contracts & Arbitration: The Complete Guide to Web3 Disputes
Digital assets and blockchain-based technologies are rapidly reshaping global commerce — and with that shift comes a new generation of disputes.
From smart contract failures to decentralised governance conflicts, arbitration is increasingly being tested in environments where law meets code.
At ArbTech, we explore how dispute resolution can adapt to these emerging realities. This guide brings together key insights and practitioner-focused resources at the intersection of digital assets, smart contracts, and international arbitration.
Whether you are counsel advising on Web3 contracts, an arbitrator facing blockchain-based evidence, or an institution developing new procedural tools, this hub is designed to help you navigate the future of technology-driven disputes.
We work with leading institutions, publications, and conferences to advance dialogue on AI and arbitration.
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We work with leading institutions, publications, and conferences to advance dialogue on AI and arbitration. 〰️
Understanding Digital Asset Disputes in Arbitration
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Digital Asset Disputes
Digital asset disputes differ from traditional commercial disputes in one key respect: the underlying systems are often decentralised, automated, and borderless.
Disputes may involve:
Blockchain-based contractual performance
Tokenised commercial arrangements
Smart contract interpretation failures
Governance breakdowns in decentralised ecosystems
Cross-border enforcement uncertainty
Arbitration offers flexibility and international enforceability, but the rise of blockchain-based disputes raises novel questions about applicable law, procedural design, and evidentiary standards.
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Smart Contracts and Arbitration
Smart contracts are often described as “self-executing agreements.” In practice, they automate performance — but they do not eliminate legal ambiguity.
Key issues include:
Whether smart contracts are legally binding agreements
How tribunals interpret intent when terms are embedded in code
The relationship between natural language clauses and automated execution
Remedies when code produces unintended outcomes
Smart contract disputes are no longer theoretical. They are already appearing in arbitration contexts, particularly in complex technology-driven transactions.
Read more: Smart Contracts and Arbitration: A Q&A with Sean McCarthy
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Procedure and Evidence in Blockchain-Related Disputes
Digital asset disputes are often highly technical and data-heavy. Evidence may include:
Blockchain transaction records
Smart contract code and protocol documentation
Digital identity and attribution challenges
Expert evidence on decentralised systems
Tribunals may need to engage with unfamiliar forms of proof, requiring procedural innovation and specialised expertise.
As arbitration becomes more technology-enabled, these disputes highlight the growing importance of institutional readiness and procedural adaptation.
Explore more: How Arbitral Institutions and International Organisations Are Paving the Way to New Technologies
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Institutional Innovation and Technology Disputes
International institutions are beginning to respond to the rise of technology-driven disputes through updated rules, digital filing systems, and model clauses designed for emerging sectors.
The broader trend is clear: arbitration is evolving alongside digital infrastructure.
ArbTech tracks these developments across its technology and arbitration series, including the growing overlap between AI governance, procedural fairness, and digital disputes.
Related hub: AI in Arbitration: The Complete Guide
Enforcement Uncertainty in Digital Asset Arbitration
One of the most pressing questions in Web3 disputes is enforcement.
Even where arbitration offers an award enforceable under the New York Convention, digital asset disputes may involve:
pseudonymous actors
decentralised governance structures
assets distributed across jurisdictions
unclear respondent identity
This creates enforcement complexity that requires foresight at the drafting stage and careful procedural strategy once disputes arise.
Looking Ahead: The Future of Web3 Arbitration
The next decade will likely see a growing convergence between arbitration and digital infrastructure.
Key trends to watch include:
More disputes involving smart contracts and decentralised platforms
Increased demand for specialised arbitration clauses for digital assets
Institutional rules tailored for technology-heavy disputes
New evidentiary practices for on-chain proof and code-based performance
At ArbTech, we believe the central challenge is ensuring arbitration remains adaptable and legitimate — capable of resolving digital disputes without losing its foundations of fairness, transparency, and enforceability.
Understanding AI in Arbitration
Artificial intelligence is no longer an abstract concept in dispute resolution. It already underpins many of the digital tools that arbitrators, counsel, and institutions rely on daily in their practice of arbitration.
In arbitration, AI is most often used to streamline document-heavy processes such as case management, document review, and research. Beyond that, it can provide predictive insights — for example, selecting arbitrators, forecasting timelines, estimating outcomes, or analysing recurring procedural patterns.
AI in arbitration generally falls into two categories:
● AI-assisted tools, which support human decision-making (e.g., smart search, drafting aids, transcription analysis).
● AI-driven systems, where algorithms autonomously process data to generate insights or recommendations.
The former are increasingly accepted as practical aids. The latter raise deeper questions about autonomy, accountability, and trust — issues at the heart of ongoing ethical and regulatory discussions.
Read more: How Arbitral Institutions and International Organisations Are Paving the Way to New Technologies
Dive Deeper
In this post, we explore the most important AI in arbitration trends for 2025. These developments reflect not only new technologies, but also shifting expectations around speed, cost-efficiency, trust, and transparency in international dispute resolution.
As AI becomes woven into the fabric of legal practice, international arbitration must shift focus from if to how we adopt it—and crucially, under what framework. Enter Constitutional AI. This methodology, popularized by researchers including those at Anthropic, embeds ethical and governance principles—like fairness, transparency, and human oversight—directly into AI systems. For arbitration, which hinges on confidentiality, impartiality, and party autonomy, Constitutional AI offers a path to responsibly integrate powerful tools without undermining core values.
Artificial Intelligence (AI) is revolutionising various sectors, and arbitration is no exception. AI tools are now being integrated into many aspects of arbitration, from document review to arbitrator selection, significantly improving efficiency. However, its use also raises important ethical, legal, and procedural questions that arbitration professionals need to be aware of. This guide will help you understand the role AI plays in arbitration, the challenges it introduces, and the future outlook, providing you with the insights needed to navigate this evolving landscape.
The article "Arbitration Tech Toolbox: Is Generative AI Now the Biggest Threat to Remote Hearings?" by Sean McCarthy, published on the Kluwer Arbitration Blog, delves into the emergent risks associated with generative AI technologies in the context of remote arbitration. McCarthy highlights the rise of deepfake video AI technologies, such as HeyGen's 'Instant Avatars', which create lifelike avatars from short video recordings. These technologies pose significant practical and conceptual challenges, particularly concerning the authenticity of witness testimonies in arbitration proceedings conducted remotely.
In a remarkable demonstration of AI capabilities, this podcast, hosted by André Guskow, explores the future of digital government, public procurement, and contracting in Brazil. This AI-powered episode showcases how modern technologies, such as artificial intelligence (AI) and smart contracts, are reshaping public procurement and governance.
Ethical and Governance Challenges
As AI becomes more embedded in arbitration, ethical governance becomes essential.
The key challenge is maintaining human judgment and procedural fairness in an environment increasingly mediated by technology. Concerns include:
Bias and transparency: Algorithms trained on limited datasets may reinforce existing inequities.
Confidentiality: Sensitive case data must be protected when using external AI tools.
Accountability: Determining who is responsible when an AI-generated insight proves wrong or misleading.
Arbitral institutions and professional bodies are responding with frameworks to guide responsible adoption. For instance, the SCC Guide to Using Artificial Intelligence in Arbitration (2024), VIAC Note on the Use of AI in Arbitration Proceedings (2025) (co-drafted by ArbTech’s own Mihaela Apostol and Sean McCarthy), and the AAA-ICDR Principles Supporting the Use of AI in ADR (2023) all emphasise transparency, human oversight, and ethical data management.
Learn more: AI and the Law: A Discussion Paper
Institutional Initiatives and Global Standards
International institutions are taking active steps to align arbitration practice with emerging AI norms.
These initiatives are helping define a global baseline for AI use in arbitration — one that balances innovation with fairness and accountability.
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At the regulatory level, the European Union AI Act represents the most comprehensive attempt to govern the use of artificial intelligence across sectors, including law and dispute resolution. Under the Act, AI systems used to apply the law to the facts in judicial and arbitral contexts are classified as high-risk, triggering enhanced obligations relating to transparency, human oversight, data governance, and accountability.
Recent developments indicate that the European Commission is considering easing or phasing certain compliance requirements, particularly to avoid stifling innovation and to reduce administrative burdens for users of AI systems. While the core risk-based framework of the AI Act remains intact, these discussions highlight a regulatory effort to strike a balance between legal certainty, trust, and technological progress.
For arbitration practitioners and institutions operating within or connected to the EU, the AI Act underscores the importance of documenting AI use, maintaining explainability of outputs, and ensuring that human judgment remains central to decision-making processes — even as AI tools become more prevalent in procedural and analytical tasks.
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The Stockholm Chamber of Commerce (SCC) introduced its AI Guide to help users understand the opportunities and risks of adopting AI.
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CIArb released its Framework Guideline on the Use of Technology in International Arbitration (2021), encouraging responsible innovation.
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UNCITRAL and LawtechUK have issued model clauses and expedited rules for technology disputes, recognising the growing intersection between law and digital infrastructure.
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WIPO and ICC are also examining the implications of AI for dispute resolution, particularly regarding transparency, efficiency, and enforceability.
Case Studies and Research Insights
Theoretical discussions about AI’s potential in arbitration are increasingly supported by data-driven research.
One notable example is the 2025 International Arbitration Survey, led by Queen Mary University of London and White & Case, which explored how practitioners view AI’s role in arbitration. The findings show cautious optimism — while many practitioners embrace efficiency gains, they also emphasise the irreplaceable role of human judgment.
Similarly, institutions like the Silicon Valley Arbitration & Mediation Center (SVAMC) are publishing studies on AI ethics, bias detection, and explainability, contributing to the formation of shared standards across the field.
These studies not only track adoption trends but also reveal how practitioners are adapting workflows to incorporate technology responsibly.
Looking Ahead: The Future of Web3 Arbitration
The next decade will likely see a growing convergence between arbitration and digital infrastructure.
Key trends to watch include:
More disputes involving smart contracts and decentralised platforms
Increased demand for specialised arbitration clauses for digital assets
Institutional rules tailored for technology-heavy disputes
New evidentiary practices for on-chain proof and code-based performance
At ArbTech, we believe the central challenge is ensuring arbitration remains adaptable and legitimate — capable of resolving digital disputes without losing its foundations of fairness, transparency, and enforceability.
Explore more: How AI is Actually Used in Arbitration Today
Frequently Asked Questions About Digital Assets and Arbitration
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AI supports document review, research, scheduling, and communication — making proceedings more efficient while keeping final decisions human-led.
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Bias, confidentiality, and accountability are central concerns. Ensuring transparency and oversight is critical to preserving trust in outcomes.
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Not in the foreseeable future. AI can assist with analysis, but judgment and contextual reasoning remain uniquely human responsibilities.
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Guidelines have been issued by CIArb, SCC, AAA/ICDR, and UNCITRAL, all promoting ethical, transparent, and human-supervised AI adoption.
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Follow ArbTech’s AI & Arbitration Resource Hub, subscribe to institutional newsletters, and review emerging reports from WIPO, ICC, and academic centres.
Continue Exploring
In this post, we explore the most important AI in arbitration trends for 2025. These developments reflect not only new technologies, but also shifting expectations around speed, cost-efficiency, trust, and transparency in international dispute resolution.
As AI becomes woven into the fabric of legal practice, international arbitration must shift focus from if to how we adopt it—and crucially, under what framework. Enter Constitutional AI. This methodology, popularized by researchers including those at Anthropic, embeds ethical and governance principles—like fairness, transparency, and human oversight—directly into AI systems. For arbitration, which hinges on confidentiality, impartiality, and party autonomy, Constitutional AI offers a path to responsibly integrate powerful tools without undermining core values.
Held on 10 June 2025 at the Peace Palace in The Hague, the AAA–ICDR’s Future Dispute Resolution Conference brought together global experts in arbitration, mediation, and legal tech. The event explored how Artificial Intelligence (AI)* and emerging technologies are transforming international dispute resolution. Across five sessions, speakers discussed new tools, ethical frameworks, and evolving practices that are reshaping how disputes are handled.
Explore how arbitral institutions and international organisations are embracing technology to revolutionise case management and dispute resolution processes. This page highlights cutting-edge initiatives and resources aimed at streamlining arbitration, from innovative submission systems to tailored guidelines and specialized rules for tech-related disputes.
Smart contracts are rapidly shaping the future of blockchain and digital assets — and with them comes a wave of new disputes, questions, and opportunities for arbitration. Sean McCarthy, co-editor of Transforming Arbitration: Exploring the Impact of AI, Blockchain, Metaverse and Web3 and co-founder of ArbTech, gives his insights on what practitioners need to know.