If you ask your employees what their most used workplace tool is, chances are ChatGPT will be high on the list. The generative AI assistant used to draft and edit text, summarize documents, analyze files, research and code has become integral to the corporate bloodstream. If you anticipate needing to preserve, collect, or produce ChatGPT data, now is the time to get familiar with the platform. Get the guide to show you how.
Generative AI is transforming how employees draft content, analyze information, conduct research, and make decisions. But every prompt, response, uploaded file, and generated document may create discoverable evidence that legal teams will eventually need to preserve, collect, review, or produce.
Recent litigation has demonstrated that AI interactions can be treated like any other form of electronically stored information, making it critical for legal departments to understand how genAI data, like that from ChatGPT, is created, retained, and collected.
Download this guide and learn:
- How ChatGPT data differs from traditional collaboration and communication data sources and what is required to collect data for eDiscovery and investigations
- What legal teams need to know about conversations, edit histories, attachments, temporary chats, and custom GPTs
- How retention policies and deletion windows can impact defensible preservation efforts
- Key considerations when developing a scalable ChatGPT eDiscovery strategy
- Best practices for connecting collection, preservation, and review workflows
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