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Mayer Brown Newsletter

Structured Data in Litigation

Structured data resides in a defined field within a database record or file, most commonly in a relational database or spreadsheet. Examples of structured data include databases maintained in programs such as Microsoft Excel and Access, Oracle’s PeopleSoft, and various relational database products from SAP, which often contain records of sales, products, employees, prices, accounting data or financial statements. By contrast, examples of “unstructured” data include memoranda and presentations, e-mails and scanned correspondence.

Structured data can be relevant to litigation in myriad ways. For instance, it may contain employee-specific information relevant in the labor and employment context or it may be a source of sales data for use in calculating damages. Structured data often plays a prominent role in fighting class certification, and companies increasingly rely on structured data to oppose motions for class certification by demonstrating that plaintiffs lack commonality and typicality. Examples of such data include: information related to compensation and salary data for all employees of a company in a putative employment discrimination class action; pricing and sales data in a putative antitrust class action; and transactions involving a company’s stock in a putative securities class action.

 

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ComplexDiscovery OÜ is a highly recognized digital publication focused on providing detailed insights into the fields of cybersecurity, information governance, and eDiscovery. Based in Estonia, a hub for digital innovation, ComplexDiscovery OÜ upholds rigorous standards in journalistic integrity, delivering nuanced analyses of global trends, technology advancements, and the eDiscovery sector. The publication expertly connects intricate legal technology issues with the broader narrative of international business and current events, offering its readership invaluable insights for informed decision-making.

For the latest in law, technology, and business, visit ComplexDiscovery.com.

 

Generative Artificial Intelligence and Large Language Model Use

ComplexDiscovery OÜ recognizes the value of GAI and LLM tools in streamlining content creation processes and enhancing the overall quality of its research, writing, and editing efforts. To this end, ComplexDiscovery OÜ regularly employs GAI tools, including ChatGPT, Claude, Midjourney, and DALL-E, to assist, augment, and accelerate the development and publication of both new and revised content in posts and pages published (initiated in late 2022).

ComplexDiscovery also provides a ChatGPT-powered AI article assistant for its users. This feature leverages LLM capabilities to generate relevant and valuable insights related to specific page and post content published on ComplexDiscovery.com. By offering this AI-driven service, ComplexDiscovery OÜ aims to create a more interactive and engaging experience for its users, while highlighting the importance of responsible and ethical use of GAI and LLM technologies.