Michael has been working as part of Clifford’s Chance Data Science Lab as a Senior Machine Learning Engineer helping to solve the significant data engineering challenges working in such an environment presents. As a core member of the team, he has been involved in the design and development of the data pipelines crucial to the lab’s success, as well as delivering numerous machine learning projects helping to reshape Clifford Chance’s operational approach.
From zero to data science in a legal firm: how one of the world’s largest law firms is reshaping operations with advanced analytics. Clifford Chance LLP is one of the ten largest law firms in the world. With thousands of global clients their teams handle millions of legal documents every year.
The data science team will share their approach to building an agile data science lab from zero on top of Apache Spark, Azure Databricks and MLflow. They will deep dive into how they used deep learning for natural language processing in the classification of large documents using MLflow and Hyperopt for model comparison and hyperparameter optimization.