The Rise of Agentic AI: Is the Billable Hour Dead in Ireland?

The legal profession in Ireland has long been characterised by its steadfast conservatism, its deep-rooted attachment to historical precedent, and its understandable wariness of transformative technological change. For centuries, the practice of law was bound by paper, physical libraries, and the slow, deliberate processes of the courts. Yet, a profoundly new model of legal practice is rapidly emerging across the globe, and its impact is already being felt within the Irish legal system. This development is reshaping not just the digital tools that solicitors and barristers use daily, but the very structural foundations and economic realities of how legal services are delivered to the public. This is the dawn of the agentic law firm, a paradigm in which artificial intelligence does not merely assist human lawyers with discrete tasks, but essentially operates as a semi-autonomous agent integrated deeply into complex legal workflows. These advanced systems are now capable of executing intricate, multi-step tasks with minimal human oversight, presenting both an unprecedented opportunity and a formidable challenge to traditional legal practice.

For many seasoned practitioners walking the halls of the Four Courts, the current age of artificial intelligence may initially feel like just another cyclical trend they have experienced throughout their long careers. They have seen the transition from Tipp-Ex and dictaphones to sophisticated word-processing software. Sometime in the late 1990s and early 2000s, Irish law firms underwent a significant digitisation process. Most practitioners gained access to personal computers, and firms slowly migrated towards using comprehensive document-management systems. The profession gradually shelved its reliance on physical libraries and heavy printed books in favour of electronic databases, eventually abandoning the ubiquitous fax machines for the speed and convenience of modern email platforms. This transition, while disruptive at the time, ultimately became the accepted standard of practice, merely speeding up the existing ways in which lawyers communicated and drafted their documents.

The subsequent decade brought the era of process automation to the legal sector, and larger corporate law firms began implementing contract-lifecycle management software and advanced e-discovery tools. These innovations undoubtedly improved operational efficiency, particularly in large-scale commercial litigation, but they did not necessarily revolutionise the fundamental nature of legal practice. These technologies all performed discrete, highly rule-bound, and specific tasks that were still strictly human-operated. Instead of dictating letters to be typed and posted, lawyers drafted and sent emails. Instead of physically thumbing through hundreds of dusty folders of discovery in a windowless room, junior solicitors and trainees searched, scrolled, and clicked through vast online databases using specific keyword parameters. The core function of the lawyer remained unchanged; only the medium through which they interacted with the information had evolved.

Given this long history of incremental technological advancement and the notoriously slow adoption rate by the legal sector of new tools and practices, it can be incredibly difficult to decipher whether artificial intelligence will genuinely change the nature of legal practice. Lawyers, by their very training and nature, are professional sceptics, trained to look for flaws, risks, and exaggerated claims. Therefore, many practitioners wonder whether the current hype surrounding artificial intelligence is simply marketing propaganda, spun up by technology companies and venture capitalists who are heavily financially invested in the success of these new platforms. Many solicitors questioning how significantly artificial intelligence could threaten their long-term job security will have already dabbled in using generative artificial intelligence in their daily practice. Whether attempting to use it for basic legal research, drafting simple correspondence, or summarising long documents, they have likely plugged questions into an AI-powered chatbot. The results produced by these early tools can be both occasionally impressive and frequently underwhelming, often resulting in text that is disappointingly generic, legally imprecise, and distinctly artificial in its tone.

This initial experience with basic generative models often offers a false sense of comfort and assurance to those within the profession who fear technological replacement. When a chatbot hallucinates a non-existent piece of Irish case law or fails to grasp the nuances of the Civil Liability and Courts Act, it provides comforting confirmation to the sceptic that artificial intelligence is not necessarily faster, is definitely not entirely accurate, and is certainly not capable of doing a qualified lawyer's job for them. However, this perspective fundamentally misunderstands the rapid trajectory of technological development and fails to distinguish between the passive tools of yesterday and the autonomous agents of tomorrow.

From Passive Prompts to Autonomous Agents

Most dubious legal professionals have not yet had the opportunity to interact with, let alone integrate, agentic artificial intelligence into their workflows. Standard generative artificial intelligence is inherently passive in its design. It will do exactly what you tell it to do, but the quality and utility of its results are entirely dependent on how clear your initial instructions are, what specific context you provide, and what proprietary information it has been granted access to. The human operator must constantly check the sources, verify the legal citations, and meticulously review the output for subtle errors. While the software might offer helpful suggestions about what steps should be taken next, the lawyer must manage the entire process on a strict task-by-task basis. Prompting generative artificial intelligence effectively has become a complex skill in and of itself, one that can be incredibly time-consuming and can take months of dedicated practice to truly master.

Agentic artificial intelligence, however, represents a monumental leap forward because it can operate with a high degree of autonomy. It is designed to complete complex, multi-step legal tasks with only limited, high-level human supervision. An agentic system can seamlessly read through an entire thread of incoming emails from a client, download the attached draft contracts and opposing counsel's review comments, prepare a detailed redline document highlighting the changes, and independently draft a comprehensive response explaining the legal rationale behind the proposed amendments. In the context of an independent claims newsroom or a busy personal injury practice, the implications are staggering. Agentic artificial intelligence can automatically ingest complex medical reports, cross-reference the findings with the Judicial Council's Personal Injuries Guidelines to estimate potential quantum, draft the necessary application for the Injuries Resolution Board, and simultaneously schedule follow-up consultations with the client based on the solicitor's digital calendar.

Furthermore, these autonomous systems can run instantaneous conflict-of-interest checks across a firm's entire historical database, take detailed attendance notes during virtual client meetings, extract the actionable tasks from those meetings, and automatically raise accurate invoices based on the work performed. Crucially, agentic artificial intelligence can continuously monitor for legislative and regulatory updates across multiple jurisdictions. If a new directive is issued by the European Union or a pivotal ruling is handed down by the Irish Supreme Court, the system can instantly alert the relevant practitioners and automatically flag which active client files might be impacted by the sudden change in the law. It can do all of this, and it can likely do it significantly faster, with a lower margin of error, and at a fraction of the cost of a human lawyer. For many traditional practitioners, this level of capability is not just impressive; it is genuinely terrifying.

While the rapid onset of the artificial intelligence age brings insurmountable anxiety to some corners of the profession, the general consensus among legal technologists and forward-thinking managing partners seems to be that the role of the human lawyer will not become entirely redundant. Instead, the profession will be forced to adapt rapidly to survive. This transition may seem far less savoury and much more disruptive than the historical introduction of email, but there are immense benefits that come with harnessing the superpowers of agentic artificial intelligence. It is highly likely that the future comparative advantage for human lawyers will lie exclusively in tasks that require genuine creativity, complex problem-solving, deep ethical reasoning, and the nuanced exercise of professional judgement based on human empathy and experience.

Much of the high-value work that lawyers perform requires intrinsic human cognition and strategic, forward-looking thinking, of which artificial intelligence is not yet capable. Crafting a highly novel legal argument for a complex High Court commercial dispute, strategically weighing up whether or not to advise a client to agree to a strict liability cap in a high-stakes merger, or delicately navigating the sensitive political and reputational dimensions of a regulatory investigation by the Data Protection Commission—these are all intricate scenarios in which the human lawyer remains absolutely indispensable. The human ability to read a room during a tense mediation, to understand the unwritten motivations of an opposing party, and to provide empathetic counsel to a distressed client going through a difficult employment dispute at the Workplace Relations Commission cannot be replicated by lines of code, no matter how advanced the underlying algorithm may be.

Ethics, Regulation, and the Irish Courts

The rise of agentic artificial intelligence also raises profound and urgent questions regarding professional responsibility, client confidentiality, and legal ethics. Solicitors and barristers operating within the Irish legal system are subject to strict, deeply ingrained duties of competence, absolute confidentiality, and unwavering candour to the court. These professional obligations do not permit the blind delegation of legal work to a machine without sufficient, documented human oversight. Regulators across the globe, including the Legal Services Regulatory Authority and the Law Society of Ireland, are beginning to grapple seriously with the wide-ranging implications of agentic artificial intelligence for their existing, long-standing codes of conduct. However, comprehensive, binding guidance on the acceptable use of these autonomous systems remains in its very early, formative stages.

The judiciary is also acutely aware of the shifting landscape. Recently, Ms Justice Eileen Roberts of the High Court publicly advised that the Irish judiciary was in the process of developing a detailed, comprehensive practice note designed to guide lawyers on the appropriate and ethical use of artificial intelligence in litigation before the courts. This proactive step underscores the seriousness with which the courts are treating the technology. It is abundantly clear under current regulatory frameworks that when an artificial intelligence agent drafts a complex letter of legal advice, reviews a commercial contract, or summarises a book of evidence, the supervising human lawyer remains entirely, professionally responsible for the absolute accuracy and completeness of that final work product. You cannot cross-examine an algorithm, and you cannot sanction a software program for misleading the court.

Regulatory bodies and the judiciary are highly likely to seek to limit or strictly control the use of artificial intelligence in a way that ensures it does not degrade the high standards of the legal profession or put its future economic and ethical viability at risk. At present, at least, it is unequivocally clear that human lawyers will remain a strict requirement for the purposes of legal accountability and professional responsibility. Maintaining sufficient, meaningful supervision over autonomous systems in the age of artificial intelligence will become a core competency for the modern legal practitioner. Failing to adequately supervise an artificial intelligence tool that subsequently hallucinates a case citation or breaches client confidentiality under the General Data Protection Regulation could lead to severe disciplinary action, professional ruin, and significant financial liability for the firm in question.

The In-House Advantage and Emerging Disruptors

Lawyers operating within traditional private practice may also find the rapid advancement of artificial intelligence slightly more ominous than their in-house legal counterparts. This dynamic varies significantly depending on the specific industry, but most large in-house legal teams operating within Ireland, particularly those clustered around Dublin's thriving Silicon Docks, will have already been experimenting with and utilising agentic artificial intelligence for quite some time. These corporate teams often have direct access to highly specific, cutting-edge legal technology tools. Platforms such as Harvey, CoCounsel, and Legora are already heavily dominating the rapidly expanding legal operations market. This early adoption is not entirely surprising, given that the technology sector itself is characteristically primed, both culturally and financially, to embrace and rapidly adopt these kinds of disruptive technological advancements.

Furthermore, there is consistently more intense pressure placed upon in-house legal teams to remain lean, highly agile, and economically efficient, allowing them to scale their services seamlessly alongside a rapidly growing multinational business. The current economic climate and the artificial intelligence crunch are leaving many in-house legal departments with significantly reduced budgets to hire additional junior lawyers or paralegals. Simultaneously, the executive boards of these companies have a massive, growing appetite to invest heavily in artificial intelligence services that promise massive, compounding cost savings over time. There is a rising, undeniable pressure from the top down to be vastly more efficient. For the modern in-house counsel, agentic artificial intelligence may increasingly seem like a high-speed gravy train that you either have to board immediately or risk being permanently left behind at the station.

This corporate reality differs drastically from the lived experiences of many traditional law firms, where legal services have historically been aggressively monetised through the billable hour model. This deeply entrenched system ties a firm's revenue directly to the sheer number of hours worked by its staff, rather than the actual value or outcome delivered to the client. This model creates well-documented, systemic perverse incentives across the profession: it actively rewards operational inefficiency, heavily discourages capital investment in time-saving technology, and makes it incredibly difficult for firms to scale their profits without constantly increasing their human headcount. The inherently conservative character of most law firms, their notoriously low appetite for operational risk, and a usually tight budget for internal legal operations, married with a revenue model that literally capitalises on inefficiencies, might provide a false sense of great comfort to a nervous practitioner contemplating the rise of artificial intelligence.

It may well be the case that lawyers in traditional private practice do not embrace artificial intelligence at the same rapid speed that their in-house corporate counsel counterparts do. However, this hesitation and reluctance to adapt is unexpectedly causing a massive, highly lucrative gap in the legal market. This hesitation is actively giving rise to entirely new types of legal service providers and alternative business structures that are eagerly taking advantage of the traditional firms' slow response times and high, hourly-based fee structures.

The Economics of Efficiency and the Billable Hour

One prominent example of this new wave of disruption is Crosby AI, an innovative enterprise which launched its operations in early 2025. The company boldly describes itself as an agentic law firm built specifically for rapid execution. Crosby utilises advanced artificial intelligence agents to speedily review complex commercial contracts that might ordinarily take a traditional law firm several weeks to process and return comments on. The company actively boasts an astonishing median review time of just under an hour. This represents a paradigm shift in the speed of legal service delivery, completely shattering the expectations previously set by traditional, human-led workflows.

Crucially, these new disruptors do not remove the human element entirely. They employ highly qualified lawyers to carefully oversee the artificial intelligence's review process, ensuring quality control and legal accuracy. However, because the heavy lifting is done by the autonomous system, they can afford to charge their corporate clients on a strict, transparent fixed-fee basis for each contract, regardless of how many complex rounds of negotiation or comments the document eventually goes through. The firm actively advertises that it seamlessly combines the raw speed and processing intelligence of artificial intelligence with the absolute safety and assurance of having expert lawyers strictly in the loop. This allows them to review dense, multi-page commercial contracts in a fraction of the time and at a fraction of the cost of a traditional firm.

The core philosophy behind this new model is to perfectly align the legal firm's financial incentives with the primary business goals of its clients: closing deals quickly, efficiently, and securely. By charging significantly less money and moving at a significantly faster pace, these technology-driven firms are already starting to severely disrupt the lucrative legal market for routine commercial contracts and standard service agreements. Traditionalists will quickly point to the fact that many large, conservative corporate clients would simply not have the risk appetite for this novel approach. These traditionalists argue that major corporations will always want to stick with the traditional, big-name, established law firms who boast decades of experience, historical longevity, and perceived top-tier status in the market.

However, a quick scroll through the publicly available client lists of these new legal technology disruptors often reveals a naming of most of the major players in the emerging technology and artificial intelligence sectors. These agile new firms do not need to capture the entire legal market immediately to be highly disruptive. They do not need to eat the whole pie; they can still fundamentally change the market dynamics, bite by bite, by slowly siphoning off the high-volume, routine work that traditionally kept the junior ranks of large law firms highly profitable.

The Future of Irish Legal Practice

Another excellent example of this shifting landscape is Radiant Law, a similar style of innovative legal service provider that offers comprehensive contract review entirely on a fixed-fee basis. While this particular firm has been operating in the market for much longer, having been established in 2011, it has recently begun aggressively utilising agentic artificial intelligence to supercharge its existing operations. It has become an incredibly popular choice within the broader technology sector for companies that are currently grappling with massive, large-scale contractual amendments necessitated by sweeping legal and regulatory changes. A prime example of this is the vast amount of repapering and contract updating required across the financial and technology sectors due to the recent implementation of the Digital Operational Resilience Act across the European Union.

This highly specific type of business model is, of course, heavily geared towards using artificial intelligence for high-volume contract review, an area that most forward-thinking law firms are already actively tinkering with behind closed doors. Many industry analysts will rightly point to the fact that this specific area of legal practice is perfectly primed for rapid agentic artificial intelligence adoption. Contract review of this nature is highly standardised, deeply routine, endlessly repeatable, and heavily based on well-established precedents developed from market-wide approaches to certain standard commercial terms. It is exactly the kind of work that machines excel at and humans find tedious.

Conversely, many traditional practitioners will also point out that other, more highly advisory, bespoke, or analytical areas of law are not nearly so vulnerable to immediate competition from emerging artificial intelligence businesses. Complex constitutional litigation, nuanced family law disputes, or high-level strategic corporate structuring still require a deeply human touch. However, there are emerging players even in the advisory space. Companies that describe themselves as leading agentic trust platforms are now offering businesses comprehensive compliance checklists, fully drafted internal policies, and continuous, automated monitoring for some of the more process-heavy and complex legal frameworks, such as the General Data Protection Regulation and the newly enacted European Union Artificial Intelligence Act.

While the customers of these new platforms may still require initial, bespoke legal advice from a qualified solicitor to properly assess their unique baseline obligations under each of these complex frameworks, it is abundantly clear that new artificial intelligence businesses are constantly coming up with highly creative, technologically advanced ways to enter and disrupt the traditional legal market. While the total impact on the delivery of legal services may not be felt overnight, law firms across Ireland will urgently need to consider how agentic artificial intelligence will inevitably force a change in their long-standing revenue models. Artificial intelligence is already being heavily utilised for some of the more tedious, time-consuming tasks that trainee solicitors or junior lawyers traditionally managed, such as large-scale e-discovery in High Court litigation or massive due-diligence projects in corporate mergers.

As more senior, experienced lawyers begin to fully adopt and trust agentic artificial intelligence, and as traditional firms start to face genuine, existential competition from new businesses offering high-quality, fixed-fee work, the industry will face a reckoning. Many partnerships will urgently need to assess if charging clients purely on the basis of billable hours incurred remains fair, reasonable, or capable of maintaining any sort of competitive advantage in a rapidly evolving digital marketplace. Could agentic artificial intelligence truly be the final death knell of the billable hour? Perhaps for certain, highly commoditised areas of legal services, firms will be forced to entirely reassess how they capitalise on their work and how artificial intelligence must be harnessed to drastically reduce costs for the end consumer. But, like almost everything regarding the future of artificial intelligence right now, only time, and the inevitable pressures of the open market, will truly tell.