On 20 May 2026, La Touche Training is running the Expert Witness Conference 2026, at the Radisson Blu Hotel, Golden Lane, Dublin 8, Ireland. This is a full-day event combining practical workshops and interactive sessions, aimed at expert witnesses and legal professionals who want to enhance their expertise. The agenda covers critical topics like recent developments in case law, guidance on report writing, and techniques for handling cross-examination.
If you are interested in AI, you should attend specifically for the session, The role of artificial intelligence in investigations and the preparation of reports, where Thomas Wood of Fast Data Science will explore how expert witnesses can navigate the challenges posed by generative AI. Expert witnesses have been prominent in some recent cases involving AI, such as Getty Images vs Stability AI, where both sides instructed their own experts in a complex litigation involving questions around generative AI and copyright and trademark law, and there have been a number of recent cases in the UK, Ireland, and other jurisdictions, where litigants in person and even barristers have been admonished by judges for inappropriate use of generative AI and fake citations. Our recently published work on the Insolvency Bot has been an exploration into how retrieval augmented generation (RAG) can reduce the risk of hallucinations.
Ireland’s Expert Witness Conference 2026
The other speakers at Ireland’s Expert Witness Conference cover a range of legal, practical, and high-profile topics relevant to expert witness work both in Ireland and the UK:
Judge Michael Peart and President David Barniville will set the stage for the conference, with the former providing the chairperson’s opening remarks and the latter delivering the keynote address.
A highlight of the event is the talk by Mark McDonald, the barrister for Lucy Letby. Mr McDonald will talk on How expert witnesses have been central to the whole case and what lessons can be learnt.
James Nerney B.L. will provide crucial updates on recent developments in case law and legal trends that are relevant to expert witnesses’ practice.
Mary Cooney (Solicitor) and Hilary Cotter (Expert Witness) will offer a dual perspective on the practicalities of expert instructions and fees, clarifying expectations from both the legal and expert points of view.
John McLaughlin B.L. will focus on practical courtroom skills, presenting techniques for presenting evidence effectively and handling cross-examination, including a roleplay session.
In addition to the main speakers, the agenda includes a panel discussion on expert meetings and a dedicated session providing guidance on the expert’s report, with a particular focus on producing single joint reports.
Thomas Wood, Director of Fast Data Science, grew up in London, and studied physics as his first degree, and then did a masters in natural language processing in 2008 in Cambridge University. After finishing his studies, he moved abroad for a few years to Germany and then Spain, and worked for a number of small and large companies in data science and NLP, and AI gradually became a hot topic. Thomas returned to the UK in 2014 and in 2018, he founded Fast Data Science.
He now works on a number of consulting projects in pharmaceuticals as well as the Clinical Trial Risk Tool (https://clinicaltrialrisk.org/). In addition to projects in data science, he takes on expert witness and expert advisor consulting work in the UK and abroad, and he has completed the Bond Solon Expert Witness training for civil litigation in England and Wales.
Thomas Wood’s talk, The Role of Artificial Intelligence in Expert Investigations and the Preparation of reports, will cover the following topics:
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Guest post by Alex Nikic In the past few years, Generative AI technology has advanced rapidly, and businesses are increasingly adopting it for a variety of tasks. While GenAI excels at tasks such as document summarisation, question answering, and content generation, it lacks the ability to provide reliable forecasts for future events. GenAI models are not designed for forecasting, and along with the tendancy to hallucinate information, the output of these models should not be trusted when planning key business decisions. For more details, a previous article on our blog explores in-depth the trade-offs of GenAI vs Traditional Machine Learning approaches.
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