Extract from Eddie Kim’s article “How to Build Generative AI for Law”
Generative AI has the potential to transform the practice of law, but using off-the-shelf tools such as ChatGPT for litigation has proven risky. The Everlaw engineering and product teams have been researching and exploring various capabilities of generative AI (gen AI) to see how Everlaw customers can benefit from the promises of this new technology in a way that is responsible, thoughtful, and defensible.
Everlaw Senior Product Lead Kevin Kraftsmith and Engineering Manager David Hirschberg share what they’ve found so far.
Everlaw has had AI built into its platform for years. How is generative AI different from tools like Everlaw Clustering and Predictive Coding?
David: From its name, gen AI is generative – meaning it can generate all sorts of new and exciting content. Gen AI can produce really powerful insights even from a single document, where Everlaw Clustering and Predictive Coding are about using patterns of data within sets of documents to get useful information and categorizations.
The mechanics of gen AI are different from the AI built into our platform to date, in that gen AI is a model trained on a very large external corpus from which it extracts patterns and applies them in a new place. As such, gen AI is a generalizable model that can be used for many purposes. In contrast, Clustering and Predictive Coding are built-for-purpose legal AI features that are each built to do one thing very, very well.
Gen AI won’t replace either Clustering or Predictive Coding but rather sit on top of both and synergize. It’s complementary.
