Ediscovery for the New Landscape of Data

Ediscovery

From Zoom to Slack, this guide provides ediscovery considerations and best practices for modern data types. Professionally and personally, we all leave a vast computer-generated footprint in our wake. You might start your day looking at emails on your cell phone, write a tweet, communicate with colleagues internationally on WhatsApp, respond to a request on Slack, and send a quick text to your boss all before crawling out of bed in the morning! This digital trail offers a wealth of information and potential evidence for the savvy legal professional who knows where — and how — to start digging. The scale and speed of this digital transformation is staggering. Over half of the global populationhas access to the internet, with nearly 3.5 billion participating in social media — and new platforms crop up seemingly every year. Atypical data types may not be relevant in every case, but you should level-set early to ensure you are not missing out on highly relevant material. Practitioners must understand where to look, how to extract insight, and the legal or ethical considerations with each new source of evidence.

Ediscovery for the New Landscape of Data

Ediscovery

From Zoom to Slack, this guide provides ediscovery considerations and best practices for modern data types. Professionally and personally, we all leave a vast computer-generated footprint in our wake. You might start your day looking at emails on your cell phone, write a tweet, communicate with colleagues internationally on WhatsApp, respond to a request on Slack, and send a quick text to your boss all before crawling out of bed in the morning! This digital trail offers a wealth of information and potential evidence for the savvy legal professional who knows where — and how — to start digging. The scale and speed of this digital transformation is staggering. Over half of the global populationhas access to the internet, with nearly 3.5 billion participating in social media — and new platforms crop up seemingly every year. Atypical data types may not be relevant in every case, but you should level-set early to ensure you are not missing out on highly relevant material. Practitioners must understand where to look, how to extract insight, and the legal or ethical considerations with each new source of evidence.