The need for in-house legal departments to adopt and use data analytics has never been more urgent. Leveraging data to improve settlement offers and litigation strategy results in significant savings.
A large global automotive OEM aims to significantly decrease legal fees and costs in California by leveraging data and predictive analytics to provide for more accurate settlement valuation and shorten the time to resolution.
LegalEase Solutions and its predictive analytics partner committed to providing a highly accurate model to the OEM within 60 days, and set off to understand the problem statement and collect all data points readily available to the legal department. Over 5 years of historical litigation data was collected and cleansed from the OEM’s matter management and billing platform. LegalEase Solutions attorneys and data scientists had several working sessions with the OEM legal and technology staff to discuss the relationship between the various data factors and potential outcomes in litigation.
Ultimately, LegalEase Solutions and its partner, built out a working model for the OEM which provided objective and consistent settlement valuation of breach of warranty cases and a predictive model which alerts the OEM to potentially problematic cases. This proof of concept was achieved in 60 days.