Extract from Traci Hewitt’s article “Tips for Integrating AI Into Litigation Workflows and Building Trust”
Half of litigation support directors are incorporating artificial intelligence (AI) into litigation workflows, according to research. And many litigation professionals expect that AI tools will soon be as common and crucial to litigation as eDiscovery platforms.
But adopting AI isn’t simply about adding a new tool to make sure you keep up with your competition. It requires a thoughtful, well-defined strategy to ensure alignment with law firm goals and real-world workflows. In this article, we’ll explore practical steps for integrating AI into litigation workflows, including:
- Understanding what AI can (and can’t) do
- Identifying the most valuable use cases
- Safeguarding client data and preventing hallucinations
- Building trust and encouraging adoption within your team
Strengths of AI and best use cases for AI in litigation workflows
AI automates certain tasks but doesn’t replace human intelligence. Therefore, the best use cases for AI don’t interrupt legal workflows or take human judgment and analysis out of the process but instead automate administrative tasks while ensuring legal professionals remain in control of how to use AI outputs.
