From Legal Tech to Legal Strategy: Why the Future of Law Depends on Technical Fluency  

Perspective matters in every industry, but in legal services, it often determines who is prepared to lead through change and who is left reacting to it. As law firms and legal departments face growing pressure to modernize, the conversation is no longer limited to whether technology matters. The more important question is whether the industry is prepared to understand it deeply enough to use it well.  

In a recent conversation, Todd Itami and Irasema Jeffers explored exactly that tension: how technical fluency, business model incentives, and evolving client expectations are altering the legal market. Their discussion moved well beyond generative AI headlines and into the basic realities that continue to define how legal work is delivered, priced, and valued. You can also watch the full conversation, segmented by insight.

Why a Nontraditional Background Matters in Legal Tech 

Todd Itami’s path into law is not a typical one, which is part of what makes his perspective so relevant. Growing up in rural Idaho, he cultivated an early interest in both computers and music, taught himself by breaking and fixing machines, and started building and selling computers while still in school. That technical curiosity evolved into web development, software work, and entrepreneurship long before law school entered the picture.  

After building and eventually selling a technology business, he made the unusual decision to attend law school, later practicing at a high level before returning more directly to the intersection of law and technology. That progression matters because it demonstrates a broader truth about legal services: many of the most pressing questions facing the industry today are not purely legal questions. They are operational, technical, and strategic questions that increasingly require legal professionals to understand the systems beneath the work.  

That perspective also helps explain why legal technology cannot be treated as a peripheral function. When someone understands both the architecture of data and the realities of legal practice, it becomes easier to see that many decisions categorized as “technical” are, in fact, deeply strategic.  

Why Legal Still Treats Technology as a Separate Function  

One of the clearest themes from the conversation is that law firms have historically structured technology work as something adjacent to legal practice rather than central to it. In many firms, a divide persists between partnership-track lawyers and professionals who handle litigation support, eDiscovery, or other technical functions. That arrangement may be longstanding, but it has consequences.  

When technology is treated as just a support service, firms may fail to take advantage of integrating technical understanding into the way matters are staffed, workflows are designed, and client solutions are built. Lawyers may rely on specialists when data questions arise, but the underlying issue is often not whether support exists. It is whether decision-makers fully understand how technology choices affect cost, risk, defensibility, and strategy.  

That gap becomes more significant as legal matters become more data-intensive. File structures, search methods, information retrieval, workflow automation, and system architecture are not minor operational details. They can guide the trajectory of a matter in meaningful ways. Yet the profession has often been slow to reward that knowledge or incorporate it into mainstream advancement criteria.  

This is part of why the conversation around legal tech and AI feels so urgent now. It is not because the industry is suddenly confronting technology for the first time. It is because longstanding structural separations are becoming harder to maintain.  

The Incentive Problem Behind Legal Innovation  

The challenge is not simply one of awareness. It is also one of incentives.  

Large segments of the legal market still operate on a model built around selling time. When that is the core economic engine, efficiency becomes complicated. A tool that reduces the time needed to complete a task may create value for the client, but it can also create tension inside an organization if internal compensation, performance standards, and advancement paths are still tied to hours billed.  

That tension helps explain why legal innovation regularly feels uneven. Many firms understand that clients expect modernization. Many also recognize that AI, automation, and better systems can reduce friction and improve delivery. But understanding those things conceptually is different from restructuring a business model to act on them.  

As Todd noted in the discussion, this is not a hypothetical issue. Legal has already seen earlier forms of automation reduce labor-intensive review work. Generative AI is likely to accelerate that pressure, not only in document review, but across a much broader range of knowledge work. The issue is no longer whether tasks can be completed faster. The issue is what firms choose to do when they can.  

That is where real transformation begins. Not by announcing a technology initiative, but by confronting the fact that tools that improve legal efficiency also require changes in how firms think about value, staffing, training, and service delivery.  

Why This Moment Feels Different  

There is a reason the current AI cycle feels different from earlier legal tech waves. The interface is simpler, the capabilities are more visible, and the market now has examples from other industries that make the stakes easier to understand. The technology no longer feels like something reserved for specialists. It is accessible enough that lawyers, clients, and business leaders can all see at least part of its possibilities firsthand.  

That accessibility has changed the conversation. There is still caution, and there should be. But the legal market is also moving beyond abstract curiosity and into more practical questions. Clients want to know what firms are really doing with AI, not just what appears on a website. Internal teams want to know how efficiency is possible, what quality controls are required, and how these systems can be applied without creating new risk.  

At the same time, conversations about return on investment are becoming more complex. ROI in legal tech cannot be measured solely by immediate revenue growth. It also needs to be measured in terms of improved throughput, reduced friction, better quality, greater consistency, and the ability to redirect human expertise toward higher-value work. Those gains matter, even when they do not fit cleanly into the oldest financial models.  

That is one reason this moment may prove more durable. Legal now has visibility into how other industries have responded to automation and modernization. The profession does not need to invent every lesson from scratch.  

What a Better Legal Model Could Look Like  

The conversation also surfaced a more important question than whether firms should adopt better tools: what would a better operating model actually require?  

The answer begins with training. Legal has significantly underestimated how much technical understanding modern lawyers need. Treating eDiscovery, data structures, automation, or system logic as niche topics creates downstream deficiencies that permeate matters, teams, and clients. The future does not require every lawyer to become a programmer, but it does require a higher baseline of technical fluency than the market has historically expected.  

That includes understanding how data moves, how systems are structured, how automation opportunities are identified, and how small technical choices can create larger legal and business consequences. Without that foundation, firms remain dependent on disjointed communication chains and avoidable inefficiencies.  

A better model also requires alignment between pricing and delivery. If legal services continue to be priced almost entirely by time while technology reduces task duration, firms will remain stuck between what clients want and what their own structures reward. More outcome-based, task-based, or intelligently packaged models may not solve every issue, but they point toward a world where legal value is measured less by raw time input and more by the quality and efficiency of the result.  

That shift is easier said than done. It requires changes not just in client billing, but in internal compensation, workflows, knowledge management, tooling, and operational support. In other words, it requires firms to behave more like integrated businesses and less like loose collections of individual billers.  

Why Clients Are Pushing the Market Forward  

Clients are already influencing this shift. As legal buyers become more informed about what technology can do, they are asking harder questions about pricing, process, and value. They are also testing new approaches themselves, notably in diligence, contract review, and other forms of repeatable knowledge work.  

That pressure is healthy. It creates the kind of market accountability that drives modernization in other industries. If clients can use better systems to reduce spend, improve accuracy, or compress timelines, they will expect their outside counsel and legal service providers to do the same.  

This does not eliminate the need for lawyers. It raises the bar for where legal judgment should be applied. The more routine or repeatable work can be accelerated, the more important it becomes for human expertise to focus on interpretation, strategy, advocacy, and risk-based decision-making.  

That dynamic additionally reinforces an uncomfortable but necessary point: if the market begins questioning whether a service is worth its cost, the right response is not defensiveness. It is improvement.  

The Human Role Still Matters  

For all the discussion of AI, one point remained clear throughout the conversation: people still want a trusted human assessment. Technology may improve access, reduce routine burdens, and expand what is possible, but it does not remove the need for someone who can interpret complexity, make sense of ambiguity, and guide decisions in context.  

That is especially true in law, where technical capability alone is not enough. Clients still need advisors who understand incentives, risk tolerance, business realities, and the consequences of one path over another. Even the most optimistic view of AI in legal services still leaves room, and responsibility, for human accountability.  

In that sense, the future of law is not a choice between human expertise and technical advancement. It is the combination of both. The strongest legal organizations will be those that understand how to combine technical fluency, operational discipline, and human insight into a model clients can trust.  

The Next Phase: Data Sovereignty and Information Security  

Looking ahead, Todd pointed to two issues likely to become even more central in legal tech over the next several years: data sovereignty and information security. That prediction is both practical and timely.  

As more tools are adopted and more workflows become digital, questions about where data lives, how it is handled, who controls it, and what risks are associated with that movement will only intensify. Clients are becoming more sophisticated about these concerns, and they should be. Legal work regularly involves sensitive information, privileged communications, and materials with significant business consequences attached.  

At the same time, the barriers to building software are falling quickly. That creates opportunity, but it also creates new exposure. The easier it becomes to build applications and automate operations, the more likely it is to introduce security weaknesses, governance problems, and operational blind spots if those systems are not carefully designed.  

For legal organizations, that means modernization cannot be limited to experimenting with new tools. It also has to include more disciplined thinking about data governance, system architecture, and long-term control.  

A Legal Market at an Inflection Point  

The larger takeaway from the conversation is not simply that lawyers should care more about technology. It is that the legal market is reaching a point where technical fluency is becoming inseparable from strategic competence.  

That does not mean every firm will evolve at the same pace. It does mean that the firms, providers, and legal departments willing to invest in a stronger understanding, better training, more aligned incentives, and robust operational models will be better positioned to adapt.  

The market may still move cautiously, but the direction is becoming harder to ignore. Legal work will continue to require human assessment, but the systems that support it are changing quickly. The organizations that thrive will be those that see technology not as a separate support function, but as part of how modern legal service is built, delivered, and improved.