Extract from Brittany Roush’s article “AI in e-Discovery: Legal Ethics’ Next Frontier”
Relativity declared 2022 as the “Year of AI” in reference to our internal efforts to research, integrate, and build significant AI advancements into our software, but little did we know it was a prescient prediction for the world at large. OpenAI’s ChatGPT launched in November 2022 and, in the wake of its release, it’s fair to say that the conversation around AI has gone from “interested” to “frenetic.”
Every industry is looking for ways to integrate generative AI into their workflows to support workers, automate mundane tasks, and reduce costs. The legal industry is no different; Legalweek, Relativity Fest London, and the CLOC Global Institute were all abuzz with conversations about how tools like GPT-4 can be used in e-discovery, investigations, and litigation.
It’s an exciting time to be working in AI, but at the risk of being a Buzzkill Brittany, it’s also a very scary time to be working in AI [insert terminator gif]. What happens right now will have long-term consequences for our society; that’s especially true in high-risk industries like ours, where the poor application of AI could impact litigation and investigations—and more specifically, the people involved in those matters.
The legal industry has several unique challenges when it comes to the use of AI. For the purposes of this article, we are discussing two specific types of AI: generative AI and classification models.
