What good is all that data if no one’s using it to take action?
In this episode, Evan Shenkman and Jennifer Mendez of Fisher Phillips break down what it really means to build a data-driven culture inside a law firm. They share how their team went from buzzwords to business impact: rolling out viral dashboards, tapping into firm-wide buy-in, and partnering with vendors to co-develop tools powered by GPT-4.
Evan and Jenn also get into the limitations of case prediction, what makes a “quick win” actually work, and why firms that obsess over the perfect model are often the ones stuck on the sidelines. Their advice? Start small. Stay close to the business. Build trust through results.
Timestamps:
(00:00) Intro
(02:05) Realizing the power of data
(02:29) Early data projects and external data
(05:26) Internal data utilization and COVID-19 tracker
(11:48) AI in law: early adoption and lessons learned
(15:06) Challenges in predictive analytics
(17:17) Data collection and management
(21:24) Common pitfalls in legal data projects
(23:37) Getting started with data in law firms
(24:08) Leveraging external data and APIs
(26:25) The power of third-party data
(27:02) Identifying high-impact projects
(28:21) Iterative development and quick wins
(32:02) Future of AI in legal practice
(38:16) Building AI competency and measuring success
Connect with our guests:
Connect with Tom:
