Legaltech Hub

It is neither accurate to say that LLMs “think like humans” nor that they merely “repeat patterns.” Instead, they occupy a new category: systems that derive generalizable internal models from vast amounts of data and use those models to plan and generate text.

Icertis’ acquisition of Dioptra reflects a shift in CLM: buyers now expect AI that is accurate, contextual, and deeply embedded—not just bolted on. By combining Icertis’ contract data graph with Dioptra’s playbooks, redlining, and memory-first automation, the deal brings pre-signature review and contract intelligence into one AI-driven contracting experience.

Think about your current innovation initiatives. Are they staffed primarily with deep domain experts (hedgehogs) or with people who bring diverse perspectives (foxes)?

We are, all of us, building the plane while flying it. And that’s exactly why AI education inside law firms and corporate legal teams can’t be limited to the tech group or the enthusiasts.

As document automation becomes crucial for legal efficiency, the question is no longer whether to adopt it but how to choose wisely. In a rapidly growing market, posing the right questions upfront goes a long way to prevent missteps and create a targeted shortlist.

The report shows more rapid and entrenched adoption in legal organizations of Harvey specifically, and generative AI generally, than has been previously reported.