The General Counsel's AI Dilemma: Where to Start Without Getting Lost

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If you're a general counsel or head of legal operations, you've probably sat through at least a dozen presentations this year about how artificial intelligence is going to transform your department. The demos are impressive. The promises are bold. And yet, when the slides close and you look at your team's actual workload — the contracts waiting for review, the compliance deadlines stacking up, the budget conversations that never seem to end — the gap between AI's potential and your Monday morning reality feels enormous.

You're not alone. In conversations with legal leaders across industries, I hear the same thing again and again: it's not that they doubt AI's potential. It's that they don't know where to begin in a way that makes sense for their team, their organization, and their risk profile.

This piece offers a practical framework for getting started — not with hype, but with the kind of grounded, experience-driven thinking that legal departments deserve.

The Paralysis Problem

Legal departments are in a genuinely difficult position when it comes to AI adoption. Unlike marketing or sales, where teams can experiment with AI tools relatively freely, legal work carries inherent obligations around confidentiality, accuracy, and risk management that make casual experimentation feel dangerous.

The result is a kind of institutional paralysis. The department knows it needs to move, but every potential starting point feels fraught with unanswered questions: What about client privilege? What if the tool hallucinates? What about our existing tech stack? Who's going to manage this? What if we pick the wrong vendor?

These are legitimate concerns. But they become paralyzing when treated as reasons not to start rather than questions to work through systematically.

The question isn't whether AI will transform legal work. The question is whether your department will help shape that transformation — or simply react to it after everyone else has moved.

A Framework for Getting Started

After nearly 35 years working at the intersection of law and technology — including building and operating a contract management platform for health care organizations — I've learned that successful technology adoption in legal departments follows a surprisingly consistent pattern. It's not about finding the perfect tool. It's about asking the right questions in the right order.

1. Map Your Workflows Before You Map Your Tools Before evaluating any AI solution, take a hard look at what your team actually does every day. Not what the org chart says they do — what they actually spend their time on. Where are the bottlenecks? Which tasks are high-volume but low-complexity? Where does your team spend hours on work that doesn't require their full expertise? This isn't a technology exercise. It's an operational one. And it's the single most important step most departments skip.
2. Identify Two or Three High-Confidence Use Cases Resist the temptation to boil the ocean. You don't need an enterprise-wide AI strategy on day one. You need two or three specific use cases where AI is likely to deliver meaningful value with manageable risk. Contract review and extraction is the obvious candidate — and for good reason. But don't overlook areas like regulatory monitoring, internal knowledge management, routine correspondence, or first-pass due diligence. The best starting points share three traits: the work is repetitive, the stakes of a small error are low, and there's a clear human review step built in.
3. Establish Guardrails Before You Pilot This is where legal departments have a genuine advantage over other functions. You already think in terms of risk, governance, and compliance. Apply that mindset to AI adoption itself. Before any pilot begins, define your acceptable use policies, your data handling requirements, your quality assurance protocols, and your escalation procedures. This doesn't have to be a hundred-page document. A clear, concise framework that your team can actually follow is worth more than an exhaustive policy that sits in a drawer.
4. Start Small, Measure Relentlessly, Expand Deliberately Pilot your initial use cases with a small team. Define success metrics before you start — not after. Measure time saved, accuracy, user satisfaction, and any issues that surface. Then use those results to make a data-driven decision about whether and how to expand. This is the part that separates departments that successfully adopt AI from those that run an expensive experiment and go back to the way things were. Measurement isn't optional. It's the engine of expansion.
5. Invest in Your People, Not Just Your Tools The most overlooked dimension of AI adoption is change management. Your team needs to understand not just how to use the new tools, but why the department is investing in them, how their roles will evolve, and what the path forward looks like. AI doesn't replace attorneys. It reshapes what attorneys spend their time on. The departments that communicate this clearly — and invest in training accordingly — are the ones that see lasting adoption.

The Pitfalls I've Seen

In 30 years of building technology for legal teams, I've watched adoption efforts succeed and fail. The failures almost never come down to bad technology. They come down to predictable organizational mistakes.

The Real Question

I started Short Advisors because I watched this dynamic play out for years — brilliant legal teams, fully aware that AI was going to reshape their work, unable to find practical guidance for getting started. Not another vendor pitch. Not another industry report full of statistics. Just experienced, honest advice from someone who has spent decades building technology for legal professionals and understands how legal departments actually operate.

The general counsel's AI dilemma isn't really about AI. It's about organizational change. It's about moving from institutional caution to informed confidence. And it starts not with a technology decision, but with a clear-eyed assessment of where you are, where you want to go, and what it will take to get there.

If that conversation sounds like the right starting point for your team, I'd welcome the chance to have it.