Extract from Petra Pasternak’s article “GenAI Prompting for In-House Attorneys”
Lawyers hate surprises. In-house counsel responsible for litigation strategy want to know what’s in their document set – good or bad – well before it gets to the other side.
Document review, whether for a government records request or a litigation-related production, must be thorough, fast, and accurate. But the volume and complexity of data in today’s digital business environment make effective review harder than ever, and expensive. Many in-house law departments have to pay a lot of money to outside counsel to do the heavy lifting.
This is where generative AI in discovery is already much more than hype. Responsibly designed GenAI features that rely on the use of LLM prompting – such as EverlawAI Assistant’s Coding Suggestions – can augment the work of humans by speeding up review determinations, surfacing hard-to-find insights from vast document sets, and serving as quality control.
Finding and Prioritizing Documents Faster and More Accurately
Counsel in charge of litigation strategy and those managing law firm relationships want to stay ahead of the information curve, not be forced into a reactive mode.
