Extract from Exterro’s article, “Building a Practical Legal AI Roadmap.”
Learn how to build a practical, problem-first legal AI roadmap and discover how corporate legal teams can drive value, build agility, and scale high-impact workflows beyond their four walls.
How to Drive Value, Build Agility, and Scale Beyond Your Four Walls
Legal teams face unprecedented pressure to adopt artificial intelligence. According to recent industry surveys, while nearly 87% of General Counsel report that their teams are actively using AI, barely half have a formal roadmap for how to roll it out safely and strategically.
The temptation is to draft a rigid, three-year technology plan or buy shiny software and look for ways to force it into daily workflows. But in an environment where AI models evolve almost monthly, static roadmaps quickly become obsolete. To build a defensible AI strategy that earns C-suite buy-in and delivers real ROI, legal leaders need a shift in mindset: stop focusing on the tech, and start focusing on the problems.
In a recent episode of the Data Xposure podcast, Kimberly Harlowe, Senior Director of Litigation Support and Technology at Altria, broke down how corporate legal departments can build an agile, problem-driven AI roadmap that scales from internal low-risk quick wins to massive outside counsel efficiencies.
