Efficiently Analyzing Patent Data

Transitioning from logic-based AI to machine learning-based AI, a group of legal technologists was formed at Stanford in 2009 to explore computational tools for legal purposes. The Center for Legal Informatics (codeX) introduced the concept of large language models before they became mainstream. Prior to this, legal technology was scarce with limited tools like basic software and docketing systems such as LexisNexis databases. These systems were crucial for law firms and their clients, requiring meticulous maintenance to avoid potential consequences. The legal technology group at Stanford mainly comprised former lawyers who faced challenges managing outdated systems, leading them to seek more efficient solutions to reduce administrative burden and focus on delivering legal services effectively.