Due to uncertainty in case valuation, plaintiffs and defendants fail to optimize their settlements.
Research has consistently found that the losses are significant:
Plaintiff errors in settling occur in about 50% of cases, with losses ranging from $28,000 to $43,000.
Defense errors in settling occur in about 25% of cases, with losses ranging from $355,000 to $1.1 million.
Princeton Gavel’s software leverages natural language processing (NLP) and deep learning to process new cases, identify key legal issues, and produce a data-backed valuation as to what a case is worth.
The result is better decision making (maximizing settlements), improved intake processes (knowing which cases to take on), and increased intake efficiency (requiring less attorney time).
It just doesn’t make sense to practice law without it.
Princeton Gavel is on Stanford Law School's TechIndex
Princeton Gavel is a member company of the 2019 Duke Law Tech Lab Accelerator