Case Study: MinterEllison achieves profitable, sustained growth with DataRobot AI Cloud

Profitable Sustained Growth Aided by AI and Machine Learning

MinterEllison, a nearly 200‑year‑old multinational law and professional services firm, needed a more sophisticated predictive lens to support its 2025 strategy and navigate COVID‑era uncertainty. To move beyond historical reporting and surface actionable forecasts for leaders and stakeholders, MinterEllison engaged DataRobot and its DataRobot AI Cloud Platform (including AutoML, Automated Time Series and MLOps) to modernize its analytics approach.

DataRobot deployed an agile, collaborative implementation—building automated time‑series and AutoML models and embedding MLOps practices—so the firm’s executives and business users could quickly produce forecasts for utilisation, work‑in‑progress (WIP) and profitability. The DataRobot solution reduced delivery time between development and deployment, lowered project risk with incremental experiments, required minimal investment to adopt, and increased adoption and decision‑making quality across the firm.

MinterEllison

Shaheen Saud

Head of Data and Analytics