Sam Luxford-Watts – June 18, 2025 – 8 mins read
Introduction: AI in the Legal Mainstream
The arrival of generative AI tools like Lexis+ AI signals a fundamental shift in the way legal work is performed, priced, and perceived. While many in the legal industry still view AI through the lens of operational efficiency, I believe we are standing at the edge of a broader transformation—one that will reshape the structure of private practice, redefine the role of the lawyer, and raise serious questions about the sustainability of the traditional law firm model.
What Lexis+ AI Actually Does
Lexis+ AI is one of the most developed offerings to emerge in the legal AI space. It is not simply a faster search engine or a glorified legal thesaurus. It is a platform designed to execute key elements of legal analysis and production at speed, scale, and precision. It offers conversational search, legal drafting, summarisation of judgments, and the ability to ingest client documents and extract useful legal insight. It operates on top of LexisNexis’s proprietary legal data and leverages retrieval-augmented generation to increase accuracy and mitigate hallucinations—two of the greatest challenges in deploying large language models (LLMs) in regulated environments. This is not a beta test. It is being marketed—and increasingly adopted—as a professional-grade legal assistant.
The Disruption of the Traditional Law Firm Structure
This raises a simple but powerful question: if AI can do so much of what junior lawyers do, what happens to the profession’s foundational model? The pyramid structure of private practice relies on a broad base of junior fee earners performing repetitive but necessary tasks—legal research, document review, drafting first versions of contracts or memos—under the supervision of mid-level and senior lawyers. The partner tier, traditionally, is reserved for those who have progressed up this pyramid by mastering its lower rungs. Lexis+ AI directly disrupts this structure. If legal research can be done in a fraction of the time, if drafting can begin with an AI-generated first draft, if document analysis can be accelerated through machine learning—then many of the core functions that once justified junior headcount begin to disappear.
Short-Term Efficiency vs Long-Term Risk
This is not an abstract concern. It has direct economic implications. Firms may begin hiring fewer junior lawyers, not because they lack work entirely, but because much of that work has been automated or dramatically compressed in terms of time. This shift will inevitably appeal to finance teams and managing partners looking to protect or improve profitability. AI allows the firm to maintain output while reducing cost. In the short term, this may look like a strategic win. But it introduces longer-term risk: if fewer juniors are hired and trained, then in ten years’ time there may be fewer mid-level lawyers with the judgment and experience required to manage complex matters or lead client relationships. What appears efficient today may, in hindsight, look like institutional atrophy.
The Collapse of the Training Pipeline
Moreover, this shift will force the profession to re-examine the implicit assumptions around legal training. The work being automated was not just billable time—it was also the crucible in which lawyers learned to think, argue, and write. Without access to the slow and sometimes painful process of legal problem-solving, how will future lawyers gain fluency in case law, contractual structure, or advocacy? AI cannot teach judgment. It cannot instil ethical reasoning. It can generate content, but it cannot explain the consequences of acting on that content. If we are not careful, we risk developing a generation of lawyers whose exposure to the practice of law is entirely shaped by supervising machines rather than learning the craft themselves.
Client Pressure and the Question of Value
The introduction of AI also brings pressure from the client side. In-house legal departments are becoming increasingly tech-savvy. Many already use AI tools internally. As a result, they are beginning to question why they are being charged hundreds of pounds per hour for work they know can be completed by an algorithm in seconds. This dynamic puts pricing models under strain. The billable hour, long challenged for its inefficiencies, becomes even harder to justify when artificial intelligence can draft a document or locate a precedent in a matter of moments. Firms that continue to rely on time-based billing for AI-enabled services may find themselves facing resistance—or worse, irrelevance.
The Future Shape of Legal Practice
All of this points to a future in which private legal practice looks markedly different. Law firms will likely become leaner, with fewer layers of human input between a legal question and a legal answer. Teams may consist of a smaller number of senior lawyers supported by powerful AI platforms rather than large cohorts of trainees and associates. The role of the lawyer may shift from creator to reviewer, from drafter to editor, from researcher to curator. The competitive edge will not necessarily go to the firm with the most lawyers, but to the one with the best human-AI operating model.
The Rise of Hybrid Legal Roles
In this environment, new professional roles will emerge. Legal technologists, AI operations leads, and prompt engineers may become fixtures within law firms. Lawyers themselves will need to develop fluency not only in legal doctrine but also in how to work effectively with generative tools. Firms that succeed will be those that invest early in digital capability—not just in tools, but in training, processes, and ethical frameworks that guide their use.
Strategic Imperatives for Law Firm Leadership
The real challenge for law firm leadership is not technological adoption—it’s strategic clarity. What kind of legal business do we want to be in five years? How do we maintain human excellence in a machine-assisted world? What does value look like when knowledge is instantly available but judgment remains irreplaceable? These are questions that demand urgent attention. The legal sector has always evolved slowly, but AI will not wait for consensus.
Conclusion: Act Now or Be Left Behind
Lexis+ AI is not the end of the lawyer, but it is the end of legal practice as we’ve known it. It removes friction, accelerates process, and changes the economics of the profession. Whether this becomes an opportunity or a threat depends entirely on how we respond. We can choose to deploy it narrowly, treating it as a back-office enhancement. Or we can treat it as a catalyst for reimagining the practice of law itself—one in which technology and human insight work in tandem to deliver faster, better, and more thoughtful legal outcomes.
But make no mistake: standing still is not an option.

About The Author
Sam Luxford-Watts is an innovative and forward-thinking IT leader with over two decades of experience leading high-performing technology teams across the legal and professional services sectors. Most recently serving as Director of IT at IBB Law, Sam has played a pivotal role in driving strategic technology planning, digital transformation, and operational excellence within complex legal environments.
With a proven track record at top-tier firms including Watson Farley & Williams, Charles Russell Speechlys, and Inspired Education Group, Sam combines deep technical expertise with a business-first mindset. He excels in aligning IT initiatives with organisational goals, delivering scalable, secure, and user-focused systems that enhance productivity and collaboration.
Sam is passionate about modernising legacy environments and empowering legal professionals through technology that works — not just in theory, but in practice.


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