AI is already a reality in the legal routine. We're no longer talking about a promise for the future, but about something that is happening right now. The numbers don't lie: in 2026, 90% of legal leaders confirmed that their teams already use generative AI on a daily basis.¹ At the same time, the sector is facing a bottleneck: 83% of departments expect demand to rise, while 63% struggle with overload and a lack of capacity as their main challenge.² The promise of relief is significant, with lawyers estimating they could reclaim up to 13 hours per week over the next five years thanks to the technology.³ In other words: the pressure for efficiency has never been so real.
But there's a point we need to face head-on: in legal work, gaining speed isn't enough. The point is to use the right AI.
Our field doesn't run on simple tasks. We deal with sensitive documents, behind-the-scenes strategies, and technical analyses where the responsibility is enormous. When you use a generic tool, you may gain speed, but you lose control. And this scenario of high demand with teams pushed to their limits is exactly what market reports show.²
That's why specialized platforms make such a difference. And here, security isn't just a buzzword; it's a basic necessity. In legal work, security means having a tool designed for an environment of critical information and technical context, one that respects the field's workflow and governance. You can't treat just any tool as if it were suitable for any kind of content.
Another point I consider central: legal AI doesn't replace the specialist, nor should it. The lawyer remains the one who defines the strategy, validates the reasoning, and understands the exception in each case.
The platform expands capacity, but it's the specialist who ensures sound judgment. It's this combination that makes the use of technology sustainable.³
And this isn't theory. Recently, in the United States, the United States v. Heppner case raised an alert about the risks of treating public AIs as secure environments. The court held that the interactions were not protected by attorney-client privilege, precisely because of the lack of confidentiality and because the material was not produced under professional direction.⁴⁵ The message is clear: the wrong tool in the wrong context becomes a legal problem.
- At the end of the day, the mature discussion isn't "AI or specialist."
- It's AI with a specialist.
- It's productivity with oversight.
Choosing a specialized platform over a generic one is what separates those who use AI on impulse from those who use it with maturity.
In legal work, using AI is the beginning, but using the right platform is what wins the game.
References
[1] FTI Consulting + Relativity, The General Counsel Report 2026
https://www.fticonsulting.com/about/newsroom/press-releases/ai-adoption-in-corporate-legal-departments-doubles-according-to-the-general-counsel-report
[2] CLOC, 2025 State of the Industry Report
https://cloc.org/newsdesk/2025-state-of-the-industry-report/
[3] ACC, 2025 State of the Corporate Law Department Report
https://www.acc.com/sites/default/files/2025-06/2025-State-of-the-Corporate-Law-Department-Report.pdf
[4] Harvard Law Review, United States v. Heppner
https://harvardlawreview.org/blog/2026/03/united-states-v-heppner/
[5] Perkins Coie, Heppner and Gilbarco: Courts Apply Privilege and Work Product Protection to Generative AI
https://perkinscoie.com/insights/update/heppner-and-gilbarco-courts-apply-privilege-and-work-product-protection-generative
