Not all data is strategic, but every strategy needs data

I’ve been seeing a wave of generative AI projects lately. Everyone wants to be part of it. Everyone wants a “use case.” But the more I speak with leaders – in Brazil and abroad – the clearer it becomes. Very few are truly ready to move beyond the excitement and step into the impact phase.

Many still treat AI like a shelf product. Buy it, install it, train the team with a prompt or two, and believe the job is done. But reality is very different. Scaling AI is not about the tool. It’s about product vision, data discipline, a reuse mindset, and living governance. Without this, it becomes a trend. And trends, as you know, pass.

I often see AI pilots “die on the beach” not because of lack of potential, but due to lack of structure. If the data foundation isn’t treated as a product (something alive, evolving, reusable, and connected to real workflows) what you’re building is a sandcastle. It might look innovative at first, but it collapses the moment you try to scale. Believe me.

Thinking of data as a product means recognizing that it’s not just stored records, but living assets with a lifecycle, governance, clear outputs, and ongoing impact in value generation. In the context of generative AI, data is not a supporting player. It is the lead. It dictates what AI can or can’t do, what it learns, how it decides, and where it truly generates value.

What’s curious is that this problem affects firms of all sizes. In small ones, the issue is basic infrastructure, missing governance, and data still scattered in spreadsheets, emails, random folders. In large firms, the challenge is fragmentation. Each department runs its own experiment. Every project is born in isolation. And no one stops to think how it connects with the firm’s broader strategy. In the end, it results in a lot of energy spent on initiatives that don’t speak to each other or to what clients actually value.

Outside Brazil, I see more maturity, but with different challenges. In big international firms, the conversation is no longer about “using AI” but about how to structure cross-functional teams, integrate legacy data, and activate value in a sustainable way. In smaller firms, the lack of resources is handled through collaboration, data reuse across areas, and focus on high-impact solutions. While we’re still trying to figure out how to fit AI into existing processes, many abroad are already reinventing their processes to become AI-native.

This lack of integrated vision is what separates those who are playing with AI from those using it as a real growth engine. And here comes a major shift. AI is no longer just an assistant that responds to commands. It is becoming an agent within the workflow. That changes everything.

It starts with data. If data lacks context, purpose, structure, and a strategy behind it, the AI agent gets lost. And when it gets lost, so does the user. This is true for any application, accelerating research, reviewing contracts, conducting risk analysis or generating reports.

But the true shift happens when the agent starts acting with partial autonomy. It learns. It interacts with other agents. It understands the flow and makes decisions based on business goals. This is where the game changes. And this is where my framework comes in “the Generative AI-Centric Law Firm Model”, built on four pillars that support this new operational logic: Client Service, Legal Services, Risk Analysis, and Knowledge Management.

These pillars were not chosen by chance. They reflect the core areas where AI, when well positioned, creates the most value. And it’s precisely in the intersection between them that the biggest opportunities emerge. An agent that works in client service, for example, can access legal knowledge bases, assess risks, and even suggest strategies based on previous cases. But it can only do that if the data is available, updated, and interconnected. And of course, if governance allows for this kind of interaction.

Another essential point is the cultural shift. AI is not a threat. It’s an amplifier. When well implemented, it empowers experts. It allows lawyers to focus on more strategic tasks. It reduces time spent on repetitive work. And it increases the reliability of decisions, because everything is based on data. It’s real-time collective intelligence.

Outside Brazil, this movement is more mature. I see strategic alliances created exclusively to activate value with AI. Firms rethinking their business models. Tech partners chosen not for what they sell, but for their ability to evolve together. Here, we’re still stuck in the supplier logic. Over there, they’re already operating as ecosystems. That changes everything.

There’s also a fundamental mindset difference. Leaders abroad are not just trying to automate what already exists. They want to reinvent. And that requires courage to rethink roles, metrics, processes, and even how the firm positions itself in the market. The focus shifts from efficiency to relevance.

In the end, the client doesn’t care if you used AI. They care if they were served faster, more precisely, and with greater intelligence. That’s what separates technology from value.

AI is no longer just a tool. It’s the new gear that, when properly positioned, changes how everything moves within the firm. And this starts with a strategic decision — to stop seeing AI as technology and start treating it as a new way of operating.

But for that to happen, data must stop being just a repository and become a true asset. Strategy must stop living in PowerPoint and come alive in practice. Governance must stop being control and become orchestration. And leaders must stop delegating innovation and start leading it for real.

The impact AI will have on your practice doesn’t depend on how fast the technology moves. It depends on how far your strategic ambition can go. It depends on how willing you are to lead the change.

Because in the end, what separates those who scale AI from those stuck in the pilot phase is not the model. It’s the mindset. It’s how willing the firm is to change, integrate, learn, and evolve. And that choice is ours, not the technology’s.

This decision is not just about efficiency or innovation. It’s about the kind of law firm you want to build in the coming years. And more importantly, the legacy you want to leave behind.