Ireland’s AI regulatory structure is now real
The Regulation of Artificial Intelligence Act 2026 was signed into law on 21 July 2026. It established the AI Office of Ireland as the central coordinating body for implementation of the EU Artificial Intelligence Act in Ireland.
For solicitor practices, the significance is broader than whether a particular legal AI product is classified in a particular risk category. AI is moving from experimentation into ordinary business infrastructure, and firms increasingly need a governance approach that can survive changes in individual tools.
AI literacy is an operational issue
Article 4 of the EU AI Act requires providers and deployers of AI systems to take measures supporting the development of AI literacy among staff and others operating or using AI systems on their behalf.
That does not mean every solicitor needs to become a machine-learning specialist. It means people using AI should understand enough about the system, the context and the risks to use it responsibly.
For a legal practice, useful AI literacy includes understanding:
- that generative AI can produce inaccurate or invented information
- how confidential or personal information may be processed
- the difference between consumer and enterprise-grade services
- when verification is required
- when a human decision cannot be delegated
- how to report a problem or questionable output
Policy should reflect actual behaviour
An AI policy that simply says ‘do not use AI’ may fail if staff are already using it informally. Equally, a policy that says AI is encouraged without explaining permitted uses, data rules and verification can create unnecessary risk.
A practical policy should start by discovering how technology is actually being used in the firm. The Law Society’s recent Practice Essentials material has emphasised issues such as safe-use patterns, shadow AI, vendor assessment and workflow readiness.
Approved tools are easier to govern than invisible tools
One of the strongest arguments for providing sensible approved technology is that it gives the firm a realistic alternative to uncontrolled experimentation.
Where a firm selects a tool, it can examine contractual terms, data handling, retention, access controls and security. Where staff independently paste client material into whatever service is convenient, governance becomes much harder.
AI governance should connect to workflow
The legal risk is rarely created by the model in isolation. It is created by the combination of model, data, user, task and decision.
That is why workflow matters. The firm should be able to distinguish between a low-risk administrative use and a high-significance legal output that will be relied upon by a client, court or third party.
A proportionate governance model might therefore use different controls for:
- internal brainstorming
- summarisation of non-sensitive material
- drafting internal correspondence
- client-facing advice
- legal research
- court documents
- analysis of confidential or privileged information
Human review becomes more important as significance rises
The emerging Irish position is consistent across several sources. The courts recognise potential efficiency from AI but insist that human responsibility remains. The Law Society’s resources focus increasingly on safe use and workflow readiness. The regulatory framework is creating more formal expectations around governance and competence.
The result should not be fear of technology. It should be better selection of where the technology genuinely helps.
Training is not a one-off exercise
AI products change quickly. A training session delivered once and forgotten will have limited value.
A better model is lightweight continuous governance: short updates, approved-use examples, reminders about data handling, a place to ask questions and periodic review of what tools are being used.
The Law Society reported strong engagement with its technology resources in 2025, including thousands of registrations for AI learning and substantial use of cybersecurity and technology guidance. That suggests firms are already looking for practical ways to build competence.
Why smaller practices can move well here
Smaller firms often have fewer layers between a policy decision and actual working practice. That can be an advantage. A partner can define an approved workflow, train a small team and see quickly whether the change is helping.
The challenge is to avoid buying technology before deciding what problem it is meant to solve. A clear workflow makes it easier to evaluate whether AI improves the process or merely adds another tool.
Where Legal Vault fits
Legal Vault is deliberately workflow-first. The system is designed to structure intake, preserve original submissions, control access and make progression visible. That creates a useful foundation for intelligent features because the AI can be added around an accountable process rather than becoming the process itself.
The design principle is straightforward: law practised by people, supported by technology.
Sources and further reading
- AI Office of Ireland: role and statutory framework
- Department of Enterprise: Regulation of Artificial Intelligence Act 2026 and establishment of the AI Office
- EUR-Lex: EU Artificial Intelligence Act, including Article 4 on AI literacy
- Law Society: How technology is shaping legal practice, 14 August 2026
This article is a general discussion of legal-technology governance and does not constitute legal, regulatory or data-protection advice.
