In this episode, we will cover how to implement a legal data strategy including integrating data from different silos, handling both unstructured and semi-structured data, as well as issues of security, moving data to the cloud, and data governance. We will discuss the benefits and trade-offs of using different database technologies, including data warehouses, data lakes, and lake houses. In addition, we will discuss integrating public and third-party data sources into your data strategy. Finally, we will discuss the impact of a legal data strategy on a legal AI strategy, including the impact of large data sets on machine learning experiments.
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