

As AI transforms the delivery of legal services, knowledge management is emerging as the foundation on which modern legal departments will be built. The real opportunity is not simply better technology. It is the ability to scale legal expertise itself.
For decades, the effectiveness of an in-house legal team was largely determined by the expertise of its lawyers. The more experienced the team, the more value it could deliver. The more accessible those lawyers were, the faster the business could move. Legal knowledge lived primarily in conversations, inboxes, meetings, and the accumulated experience of individual practitioners. When a business stakeholder needed guidance, they went to a lawyer. When a difficult issue emerged, they sought out the lawyer who had seen it before. When legal demand increased, the default solution was to hire more lawyers.
It was a model built around expertise. But it was also a model constrained by expertise. No matter how capable a legal team became, there were only so many hours available in a day. Every answer required someone’s attention. Every piece of guidance depended on availability. Every new product launch, commercial initiative, regulatory change, or strategic project generated another stream of questions that had to be absorbed by the same finite pool of legal resources.
For many years, this limitation was accepted as simply the cost of doing business. Today, it is becoming increasingly difficult to ignore.
As organizations scale, legal demand expands faster than legal headcount. Business teams operate across multiple geographies and time zones. Decision-making cycles continue to accelerate. The expectation is no longer that legal will respond quickly. Increasingly, the expectation is that legal guidance will already be available when and where the business needs it.
This challenge sits beneath many of the conversations currently taking place about AI, legal operations, and the future of the in-house profession.
Yet despite the attention being paid to technology, the most important development may have nothing to do with technology at all. It is the growing realization that legal expertise itself can become scalable.
Russ Philpott, Director of Legal Operations and Corporate Counsel at identity and access management company Okta, has spent much of the last decade helping build the operational foundations that enable legal teams to grow without simply adding more lawyers. During a recent conversation on LawVu’s Legal Leaders Podcast, Philpott reflected on the increasingly central role of knowledge management and why it has moved from a frequently overlooked operational discipline to one of the most strategically important capabilities inside modern legal departments.
The shift is not happening because legal teams have suddenly discovered the value of knowledge management. It is happening because AI has exposed something that was always true.
For years, legal knowledge was a by-product of legal work. Today, it is becoming one of legal’s most valuable assets. That “later” has now arrived.
Historically, knowledge management has often been viewed through a narrow lens. It was associated with document repositories, template libraries, intranet pages, shared drives, and internal wikis. Important, certainly, but rarely viewed as a strategic priority. It was often the work that happened when time allowed, rather than the work that demanded immediate attention.
The reality is that knowledge management has been misunderstood. Its true value was never about organizing documents. It was about preserving, distributing, and amplifying expertise.
Every legal department contains an enormous amount of institutional knowledge, and Philpott believes one of the biggest opportunities for legal teams is transforming individual expertise into shared capability. As he explains, “Putting that into some sort of centralized format for shared information across your team is going to put your team in a better position to succeed as individuals, but also as a collective.”
The challenge has always been that much of it remains locked inside individuals. Experienced lawyers know which clauses can be negotiated and which cannot. They understand historical decisions, accepted risk positions, preferred approaches, and the subtle context that sits behind formal policies. They know what works because they have seen it before. That expertise creates value, but only when it can be accessed.
For decades, legal departments scaled by adding lawyers. The emerging generation of legal teams will scale differently. They will scale by making expertise itself more accessible.
The distinction is subtle but profound. One model assumes legal value is inseparable from the individual lawyer. The other assumes legal value can be captured, structured, governed, and delivered wherever the business needs it. Knowledge management sits at the center of that transformation.
This is where AI changes the conversation. Much of the discussion surrounding AI in legal focuses on productivity. Faster drafting. Faster review. Faster research. These benefits are real and significant, but they may ultimately prove to be secondary. The deeper transformation is that AI forces legal departments to confront the quality, accessibility, and structure of their knowledge.
As Philpott observed during the podcast, humans naturally understand context. They know who they are, why they are asking a question, and how information should be applied. AI systems do not possess that inherent understanding. They rely entirely on the information and context they are given. This means knowledge can no longer simply exist. It must be designed.
Legal teams that once organized information around internal structures, practice areas, or individual preferences must now consider how both people and machines will consume that information. Guidance must be current. Context must be explicit. Ownership must be clear. Governance must be disciplined.
Poor knowledge management has always created inefficiencies. Now it creates risk at scale. Philpott is careful not to overestimate what technology alone can achieve. “Tools aren’t magic,” he says. “A tool won’t fix bad process, lack of process, and the same with knowledge management.”
In many respects, AI is acting less as a solution and more as a spotlight, exposing weaknesses that may have existed for years but were previously hidden by human workarounds. The same technology that can instantly deliver accurate legal guidance across an organization can just as easily distribute outdated, incomplete, or inconsistent information if the underlying knowledge is not properly maintained.
Philpott captured this reality succinctly when he noted that tools are not magic. Technology does not solve weak processes or fragmented knowledge. It exposes them.
This is why AI should not be viewed as the story. Knowledge is the story. AI is simply the catalyst forcing legal teams to recognize its importance.
The legal departments that will derive the greatest value from AI will not necessarily be those with the largest technology budgets or the most ambitious experimentation programs. They will be the teams that have invested in creating trusted knowledge foundations.
Those foundations are becoming increasingly important because the operating model of legal itself is beginning to evolve.
For much of modern corporate history, legal has operated as a reactive function. Questions arrived. Lawyers answered them. Contracts were reviewed. Issues were escalated. Advice was delivered through individual interactions.
There is and always will be value in that model. Complex judgment, nuanced risk assessment, and strategic counsel cannot be reduced to a playbook.
However, not every legal interaction requires bespoke advice. Many requests are predictable. Many questions are recurring. Many decisions can be guided by approved positions, structured workflows, and established knowledge. The most forward-thinking legal teams are increasingly distinguishing between work that requires legal judgment and work that requires access to legal knowledge.
That distinction has profound implications. As knowledge becomes more accessible, legal departments begin to operate less like a queue of experts waiting to answer questions and more like a service layer embedded within the business.
Sales teams gain access to guidance within contracting workflows. Procurement teams receive support at the point of purchase. Employees can find answers to routine questions without waiting for legal to become available. Global organizations can provide consistent guidance regardless of time zone.
Looking ahead, Philpott sees this as a fundamental shift in how legal support is delivered. With the right knowledge foundations in place, he argues, legal teams can provide guidance to business partners “in a way that’s vastly different from any time before now in real time.”
Legal expertise becomes available at the point of decision. For the business, this creates a faster and more seamless experience. For legal teams, it creates something equally valuable: capacity.
For years, legal operations has focused on creating capacity. AI and knowledge management represent the natural evolution of that mission. The objective is not fewer lawyers. The objective is more lawyer time spent where judgment, strategy, and experience create the greatest value. Philpott frames this as a natural extension of legal operations’ long-standing purpose. “One of the main North Stars of legal operations is freeing up attorneys to do their high value work.”
AI and knowledge management simply provide new ways to pursue that objective. The more effectively routine expertise can be captured and delivered through systems, the more legal professionals can focus on the work only they can do.
This is where the future operating model of legal becomes genuinely exciting. Imagine a legal department where routine questions are resolved through trusted knowledge systems. Where approved guidance is available instantly. Where legal expertise is embedded directly into business workflows. Where lawyers spend less time answering the same questions repeatedly and more time helping shape business strategy, identify emerging risks, support innovation, and influence decision-making before problems arise.
That future is not about replacing lawyers. It is about elevating them.
It is also why governance has become such an important part of the conversation. Knowledge only creates value if it remains trustworthy. Policies change. Regulations evolve. Templates are updated. Business priorities shift. Knowledge naturally decays over time.
In a world where knowledge is consumed by a handful of individuals, those issues can often be corrected through experience and judgment. In a world where knowledge powers AI systems and supports thousands of decisions, the consequences are far greater.
This is why high-performing legal teams are investing not only in knowledge creation but also in knowledge stewardship. Ownership models, review cadences, automated reminders, feedback loops, and governance frameworks are becoming essential operational capabilities. What may once have looked like administrative discipline is increasingly becoming strategic infrastructure.
The legal departments that thrive in the years ahead are unlikely to be defined by the sophistication of their AI tools alone. They will be defined by the quality of the knowledge that powers those tools.
Every profession experiences moments when technology forces a reassessment of how value is created. Legal is entering one of those moments now. The opportunity is not simply to automate work. The opportunity is to rethink how legal expertise is delivered.
That requires legal leaders to move beyond questions about technology and ask more fundamental questions about operating models. What work truly requires a lawyer’s involvement? What knowledge can be scaled? How should legal guidance be delivered? What role should lawyers play when expertise becomes more accessible than ever before?
These are not technology questions; they are leadership questions. The answers will shape the next generation of legal departments.
For years, knowledge management was viewed as a supporting function that sat behind legal work. Today, it is becoming the mechanism through which legal expertise itself can scale.
AI may be the catalyst driving urgency, but knowledge is the asset, and scalable expertise is the strategic insight. And that may prove to be one of the most important developments in the in-house legal profession in decades.
Want to hear more from Russ Philpott on legal operations, AI, and the evolving role of in-house legal teams? Listen to the full episode of the Legal Leaders Podcast.
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