Why Human Expertise Drives Real Success in an AI-Driven Legal World

By Hunter McMahon

May 8, 2025

Why Human Expertise Drives Real Success in an AI-Driven Legal World

Hunter McMahon is the Chief Operating Officer of Discovery Solutions (iDS). He is focused on collaborating with a team of experts to provide industry-leading solutions for clients. McMahon has served as a testifying and consulting expert to corporations both large and small, while working with Am Law 100 and boutique law firms.

In an era where AI promises to do more—faster and cheaper—it’s easy to lose sight of one enduring truth: not all outcomes are created equal. What separates good advisors from great advisors (particularly in the executive, legal, and risk worlds) isn’t just how fast they can get to an answer; it’s about knowing what to ask, why it matters, and how to turn that answer into something valuable. That’s why human expertise is essential.

To put it another way, it’s not about doing the same things faster or with fewer people. It’s about delivering more value—deeper insights—with the same resources. That distinction is where individuals’ decades of experience, layered with curiosity and good judgment, outpaces raw speed every time.

Doing More With Less Isn’t the Goal

Today, too many AI commercials and sales pitches center on cost savings and headcount reduction. That’s the wrong metric—and the wrong mindset.

The best business leaders aren’t looking to cut corners; they want to deliver more impact with the same effort. AI, when purposefully integrated, allows professionals to spend less time on repetitive tasks and more time applying judgment, creativity, and strategic insight. That’s because AI is a tool, not a strategy in and of itself. And like any tool, its value depends entirely on how you use it.

Consider legal and compliance functions. If AI can draft a document, flag key risks, or summarize a lengthy case file in seconds, that doesn’t mean you fire the legal team. It means the legal team now has more capacity to think proactively, advise strategically, and support the business in real-time, all without burning out or hiring five more people.

With that in mind, the organizations seeing the most success with AI aren’t rolling it out everywhere at once. They’re identifying specific pain points, gathering data, contract redlining, and asking, “Can AI make this part faster or better?”

That’s purpose-driven adoption. It’s intentional, measurable, and it still centers around human expertise.

Why Time-Tested Expertise Still Wins

Great leadership isn’t built overnight. It comes from years of navigating nuances, understanding the business context, and learning from outcomes—both good and bad. That experience becomes a lens through which seasoned leaders interpret data, anticipate risks, and give trusted guidance to others in pursuit of great business decisions.

AI doesn’t replicate that experience. What it can do, however, is support it.

Imagine asking a junior team member to summarize a complex problem. They spend time reading, researching, and re-reading to ensure no details are lost. You might get a well-structured brief, but without knowing what’s truly relevant to the strategic goals (or maybe even the significance of the problem itself), it’s just that—a brief. 

Now, imagine using AI to generate that same summary in minutes or even seconds. With the proper oversight, you now have a draft that a seasoned advisor can quickly validate, add context to, and transform into actionable insight. 

The value isn’t in the summary—it’s in the advice that only an experienced advisor can give once the details are understood.

Teams Thrive Through Curiosity

Leaders who are not only curious themselves but also create an environment where their team is encouraged to be curious are the leaders who build resilient teams. That’s because they aren’t a team of one, but a team of many.  

Curious advisors, leaders, and strategists don’t just react to information, they interrogate it. They look for gaps. They ask, “What if?” and “Why not?”  Curiosity drives professionals to question assumptions, test AI outputs, and ensure that what’s being delivered helps the client (internal or external) achieve their goals, not just check a box. 

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Authentic curiosity also inspires teams to explore new ways of solving old problems, often revealing opportunities that would otherwise go unnoticed. This is how real innovation happens. AI doesn’t replace curiosity. It amplifies those who have it.

Trusted Advisors and Leaders in the Age of AI

At the end of the day, AI will level the playing field when it comes to access to information. But it won’t level the playing field of sound judgment and human expertise. It won’t create experience or earn trust.

Those will remain the exclusive domain of professionals who lead with curiosity and treat AI not as a crutch or a shortcut but as a tool to do more, deliver more, and drive better outcomes.

The future of advisors and leaders isn’t about being replaced by AI. It’s about trusted advisors who master AI replacing those who don’t.

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