{"id":384483,"date":"2026-05-18T18:30:04","date_gmt":"2026-05-18T13:00:04","guid":{"rendered":"https:\/\/www.scconline.com\/blog\/?p=384483"},"modified":"2026-05-18T18:04:47","modified_gmt":"2026-05-18T12:34:47","slug":"ai-in-arbitration-practitioners-reality-architecture-of-trust","status":"publish","type":"post","link":"https:\/\/www.scconline.com\/blog\/post\/2026\/05\/18\/ai-in-arbitration-practitioners-reality-architecture-of-trust\/","title":{"rendered":"Are Practitioners Ready to Use AI Responsibly? Cyprus Arbitration Day 2026 Asks the Question the Profession Is Avoiding"},"content":{"rendered":"
\n

Session 3 of Cyprus Arbitration Day 2026 titled, “AI Validation and Validation of AI<\/span>” brought together practitioners, institutional representatives, and legal technology experts to examine the increasingly complex relationship between artificial intelligence and arbitration practice.<\/p>\n

The panel consisted of Mr. Christopher Clements, Partner, Deloitte, UAE; Mr. Daniel Correa, Managing Director, DAC Consulting, London; Mr. Sébastien Bardou, General Manager, LexisNexis, Versailles and Mr. Alexander Marcopoulos, Partner, Hughes Hubbard & Reed, Paris. Moderated by Ms. Tatevik Karapetyan, Director of Resolve Academy, the discussion framed AI as both, a transformative operational tool and a growing professional risk. Addressing the audience, Ms. Karapetyan posed a central question confronting the arbitration community- not whether practitioners are using AI, but whether they are willing to candidly acknowledge the extent of that use and accept responsibility for its consequences.<\/p>\n

The session started with Mr. Daniel Correa, appearing in his capacity as a mechanical engineering expert witness, and Mr. Sébastien Bardou, who addressed the institutional architecture of responsible AI deployment in legal services. Their contributions approached the subject from opposite ends of the arbitration ecosystem, one from frontline expert witness practice and the other from the perspective of a global legal information provider designing AI-enabled research systems.<\/p>\n

The Practitioner’s Reality: Efficiency, Hallucination, and Professional Accountability<\/h2>\n

\"\"<\/p>\n

Opening the substantive discussion, Mr. Daniel Correa<\/span> observed that while practitioners frequently acknowledge awareness of AI tools, few disclose the extent to which such systems are now integrated into pleadings, expert reports, and evidentiary preparation. According to Mr. Correa, the increasing polish, structure, and persuasive quality of submissions across disputes has made the growing influence of AI difficult to ignore.<\/p>\n

Mr. Correa identified several operational efficiencies that AI systems now provide in expert witness practice. Tasks such as large-scale document review, chronology construction, structural drafting, multilingual translation, and cross-version technical comparison can now be completed in significantly reduced timeframes. He noted that processes which previously required extensive associate-level review, including the extraction of dates, contractual references, or engineering events across thousands of documents, can now be substantially automated using AI-assisted systems.<\/p>\n

At the same time, Mr. Correa warned about AI hallucination already becoming a practical courtroom problem rather than a hypothetical future concern. He explained that fabricated clauses, non-existent standards, and invented citations have increasingly appeared in submissions and expert reports generated or assisted by AI systems. He recounted instances where expert witnesses were discredited during cross-examination because cited references could not be independently verified. He also cautioned that once credibility is compromised in that manner, the reliability of the entire report becomes vulnerable irrespective of its remaining merits.<\/p>\n

Mr. Daniel Correa subsequently stressed that AI-generated content must remain independently verified, fully traceable, and professionally reviewed before inclusion in any submission or report. He furthered that while AI may assist with structure, summaries, and efficiency, it cannot replace professional judgment or ownership of substantive conclusions. In particular, he rejected the use of what he termed blind drafting, the uncritical adoption of AI-generated analysis without independent expert verification. The role of the lawyer and expert witness, he suggested, is not eliminated by AI but shifted toward oversight, validation, and accountability.<\/p>\n

The Architecture of Trust: Responsible AI at Institutional Scale<\/h2>\n

Addressing the session from the institutional perspective, Mr. Sébastien Bardou<\/span> focused on the question of how major legal information providers design and govern AI systems intended for professional use. According to Mr. Bardou, the central issue surrounding legal AI is not merely technical sophistication but institutional trust; specifically, whether practitioners can confidently entrust sensitive dispute-related information to AI-enabled platforms.<\/p>\n

Mr. Bardou explained that their professional analytics and decision-tools company and the affiliated entities, operate under five responsible AI principles: assessment of real-world impact, elimination of unfair bias, transparency, human oversight, and compliance with privacy obligations. He acknowledged, however, that these principles have become increasingly difficult to operationalise in the era of generative AI, where the reasoning processes of foundational models remain largely opaque even to their developers.<\/p>\n

Several technical and procedural risks associated with generative AI were discussed. Mr. Bardou identified hallucinations as an unresolved industry-wide issue despite years of rapid AI development. He also referred to the “lost in the middle” problem affecting long-context processing, where large language models demonstrate degraded performance in the middle sections of lengthy documents. In document-heavy arbitration proceedings, such distortions may significantly affect factual analysis, chronology reconstruction, and evidentiary interpretation.<\/p>\n

To mitigate these risks, Mr. Bardou outlined a series of structural safeguards adopted within their AI systems. These included diversification across multiple AI providers, including OpenAI, Anthropic, Mistral, and Google alongside retrieval-augmented generation techniques designed to ground outputs in verified legal material. He further noted that memory compression methods are increasingly used to address long-document processing limitations. On the human oversight side, Mr. Bardou stated that more than 2,500 engineers and subject-matter specialists remain involved in reviewing workflows, outputs, and post-deployment testing across jurisdictions and languages.<\/p>\n

Mr. Bardou also emphasised the importance of trusted legal publishing archives in grounding AI outputs. Referring to historic legal publishing institutions such as Butterworths and Dalloz, he argued that longstanding verified legal databases provide an evidentiary and institutional foundation that newer AI market entrants may struggle to replicate.<\/p>\n

Concluding his remarks, Mr. Bardou identified critical thinking as the one safeguard that technology cannot replace. While AI systems may improve efficiency, reduce research burdens, and assist with analytical tasks, professional judgment remains indispensable. Lawyers, arbitrators, and experts, he stressed, must continue to interrogate AI-generated outputs, question apparent conclusions, and independently validate the material produced by automated systems.<\/p>\n

The discussion presented AI as neither a purely disruptive threat nor a complete professional solution. Instead, the discussion highlighted the emergence of a new professional framework in which efficiency gains must coexist with heightened obligations of verification, transparency, and accountability. Both Mr. Daniel Correa and Mr. Sébastien Bardou, despite approaching the issue from markedly different institutional perspectives, converged on a common principle: AI may assist arbitration practice, but responsibility for accuracy, judgment, and professional integrity remains firmly with the practitioner.<\/p>\n

Please find link to Part 2 of this Panel here.<\/p>\n

The full conference agenda is available at the Cyprus Arbitration Day website<\/span><\/a>.<\/p>\n

SCC Times is the Sole Official Media Partner for this event.<\/p>\n

Read more at: https:\/\/www.scconline.com\/blog\/post\/2026\/05\/17\/franz-schwarz-arbitrability-and-public-policy-cyprus-arbitration-day-2026\/<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

The session explored not merely whether AI is being used in arbitral proceedings, but whether the profession is prepared to use it responsibly, transparently, and within defensible professional boundaries.<\/p>\n","protected":false},"author":67542,"featured_media":384488,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[97664],"tags":[104595,104590,104598,104592,104594,102981,104591,104593,104597,104596,104599],"class_list":["post-384483","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-events-collaborations","tag-ai-hallucination-legal-risks","tag-ai-in-arbitration-2026","tag-ai-validation","tag-ai-validation-arbitration","tag-arbitration-technology-conference","tag-cyprus-arbitration-day-2026","tag-cyprus-arbitration-day-ai-panel","tag-generative-ai-legal-practice","tag-legal-ai-professional-accountability","tag-responsible-ai-arbitration","tag-validation-of-ai"],"yoast_head":"\nPractitioners on AI in Arbitration at Cyprus Arbitration Day 2026 | SCC Times<\/title>\n<meta name=\"description\" content=\"Cyprus Arbitration Day 2026 panel discusses AI hallucinations, accountability, trust, and responsible AI use in arbitration practice.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.scconline.com\/blog\/post\/2026\/05\/18\/ai-in-arbitration-practitioners-reality-architecture-of-trust\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Are Practitioners Ready to Use AI Responsibly? 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