Brief, executive summaries on topics related to managing legal technology, including artificial intelligence, data management and governance, cloud computing, etc.
In this episode, we will cover how to implement a legal cloud strategy including integrating cloud data and AI strategies, containers, scalability, and low code application development. We will also discuss the institutional inertia and security concerns which have prevented firms from adopting a cloud strategy. Finally, we will discuss the impact of a legal cloud strategy on your legal AI and legal data strategies.
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.
The use of Artificial Intelligence in Legal is too important to ignore. From a deeper understanding of your timekeeper's work product to better pricing and budgeting, AI technologies can improve your firm's efficiency and competitive advantage. You can use AI as a contract drafting aid, e-discovery, and litigation prediction.
In this episode, I will discuss why you need an AI strategy, and in subsequent episodes, I will show you how to get started.