Extract from Chris Finley’s article “AI in Litigation: Use Cases, Advice, and Technology”
For many law firms using AI in litigation is now routine. Litigation teams are using AI to accelerate administrative tasks, manage increasingly complex matters, scale their capacity, and meet shifting client expectations. While firms that adopted AI quickly gained an early advantage, the playing field has started to level out.
To stay ahead, litigation teams must evolve how they use AI. Their AI tools should do more than speed up work. They should also help the team work more strategically. This shift from task automation to insight generation is happening now as AI helps connect facts, uncover patterns, and inform case strategy earlier in the lifecycle.
To advance, law firms must focus on optimizing existing AI workflows, exploring advanced use cases, and driving innovation. In this blog we will explore a variety of ways to use AI in litigation, from basic task acceleration to more advanced strategic applications. We’ll also share common concerns about AI and strategies to address them. Finally, we will explore tips for finding the best AI tools for litigation management.
