Counsel, Experts & AI: building a strong Arbitration Case
Learn how to build a stronger, more persuasive arbitration case, prepared for an increasingly technology-driven environment.
Event details
Programme
21 Oct 2026
Presented By
About the event
Successful arbitration cases increasingly depend on the ability to integrate legal strategy, expert analysis, technology and business judgment.
Counsel and experts have long worked side by side to turn complex facts, documents and data into coherent and persuasive arguments. Now, artificial intelligence in arbitration is adding a new dimension to that collaboration by accelerating analysis, identifying patterns, testing assumptions and expanding the possibilities for case preparation.
At the same time, the use of new technologies also raises important questions around reliability, transparency, confidentiality and the role of professional judgment.
Rather than asking whether artificial intelligence can replace lawyers or experts, the panel will explore a more practical question: how can counsel, experts and AI work together to build and present a successful arbitration case?
Bringing together the perspectives of external counsel, economic and technical experts, an international arbitrator and in-house counsel, the discussion will examine the arbitration lifecycle, from the earliest assessment of a dispute through expert analysis, evidentiary strategy and presentation of the case to the tribunal.
The event will combine practical experience with a forward-looking discussion on the future of arbitration and artificial intelligence, considering both the opportunities created by new technologies and the areas in which human experience, professional judgment and persuasive advocacy remain indispensable.
Speakers
Andres Alva | Berkeley Research Group (BRG)
Managing DirectorAlejandro Martinolich | Berkeley Research Group (BRG)
Managing DirectorÉrica Kinoshita | Andritz Hydro
Senior Legal ManagerGabriel Freitas | FAS Advogados
Partner and Head of ArbitrationVânia Wongtschowski Kleiman
International ArbitratorRegister now
Q&A
AI can already support different stages of case preparation, from document review and data analysis to claims assessment, damages analysis and hypothesis testing.
Beyond speeding up processes, these tools can help legal teams and experts identify patterns, explore scenarios and anticipate weaknesses.
The challenge lies in understanding where technology adds value and where experience, professional judgment and persuasive advocacy remain indispensable.
Complex cases are rarely built in isolation.
The panel will discuss when and how counsel, experts and clients should begin working together, aligning legal strategy, technical analysis and business objectives from the earliest stages of a dispute.
This integration can be critical to turning large volumes of facts and information into a clear, coherent and persuasive case theory.
Expert evidence in arbitration can play a decisive role in helping the tribunal understand economic, financial and technical issues.
The event will therefore also explore what makes expert analysis credible and persuasive, how to structure the interaction between counsel and experts, and how technology can support the preparation and presentation of evidence.
One of the main benefits of multidisciplinary collaboration is the ability to test arguments, identify inconsistencies and anticipate points of vulnerability.
Technology, data analysis and different professional perspectives can help counsel and experts challenge their own assumptions before the tribunal does.
The use of artificial intelligence in arbitration proceedings also requires careful consideration of issues such as data quality, bias, transparency, confidentiality and the ability to explain and defend the results produced.
The panel will discuss how to balance innovation and reliability, considering not only what technology can do, but also how its outputs should be assessed and used by experienced professionals.
Contact Us
Send a message to [email protected].
Send a message to [email protected].