Course Details

Artificial intelligence can produce polished work quickly, but fluent drafting is not necessarily accurate, balanced or reliable. This practical session demonstrates how accountants and tax advisers can use AI within a controlled professional workflow, while retaining responsibility for the facts, technical analysis and final judgment.


Using a fictional worker-classification dispute, the session follows one file from the initial factual review through competing arguments, a reasoned determination and an assessment of whether the decision should be challenged. Delegates will see how structured prompts, source controls, traceability and critical follow-up questions can improve the quality of AI-assisted work. The methods demonstrated can also be applied to tax opinions, investigation reports, regulatory responses, disputes and other evidence-based advisory work.


Conor Kennedy will cover the following topics during this webinar:

  • Building a reliable factual record

How to create a balanced, numbered factual matrix that separates established facts from assumptions, interpretations and gaps in the evidence.


  • Producing structured technical analysis

How to instruct AI to apply a legal or technical framework in the correct sequence, trace factual findings to the underlying record and reserve its conclusion until the analysis is complete.


  • Preparing credible evidence and professional documents

How to generate witness statements and other work products in an appropriate voice, without importing legal conclusions, overstating the evidence or avoiding inconvenient facts.


  • Testing both sides of a disputed issue

How to produce the strongest good-faith argument for each side, distinguish legitimate reframing from distortion and critically review authority, evidence, logic and consistency.


  • Reaching and challenging a reasoned conclusion

How to reset the AI’s role from advocate to decision-maker, identify the facts that genuinely determine the outcome and distinguish a possible technical error from simple disagreement with the result.



By attending this session, delegates will learn how to:


  • structure an AI-assisted workflow around a controlled and reliable source record;
  • distinguish facts from assumptions, characterisations and unsupported inferences;
  • design prompts that define the AI’s role, permitted sources and required method;
  • require traceability between the source material, factual conclusions and technical analysis;
  • use targeted follow-up questions to identify weaknesses, missing evidence and overstatement;
  • obtain genuinely competing arguments rather than superficial counterarguments;
  • assess AI-generated work critically before relying on it or passing it to a client or decision-maker; and
  • identify a small, practical and appropriately controlled use case within their own practice.


The overall objective is to help delegates use AI more effectively while keeping professional judgment, confidentiality, technical verification and responsibility firmly with the practitioner.


The session will be of particular interest to:


  • accountants and tax advisers;
  • professionals involved in employment-status and worker-classification matters;
  • practitioners preparing tax opinions, submissions or regulatory responses;
  • forensic accountants and professionals conducting investigations;
  • advisers involved in disputes, appeals or evidence-based decision-making;
  • partners, directors and managers responsible for reviewing AI-assisted work; and
  • professionals considering how AI can be introduced safely and effectively into their practice.
  • No specialist knowledge of AI technology or prompt engineering is required.


Course Level: Intermediate 


The session is practical and accessible, but it goes beyond a foundation-level introduction to AI. It assumes that delegates understand ordinary professional analysis and document preparation, and it focuses on applying structured controls to improve the reliability of AI-assisted work.


The session does not require previous technical knowledge of AI systems.

CPD Course Speaker

EY Law Ireland

Conor Kennedy

Conor Kennedy is a Barrister and Chartered Tax Adviser. Conor is a former Tax Appeals Commissioner and has presided over tax disputes valued in excess of €2.5 billion and is now with EY Law Ireland responsible for Tax Strategy and Disputes.