Legal departments are navigating an increasingly dynamic and complex legal, regulatory, and compliance landscape.

In law firms, AI has been particularly impactful by making document management and analysis processes more efficient.

The need for fair remote work policies for all employees.

The promise of AI is alluring — optimized productivity, lightning-fast data analysis, and freedom from mundane tasks — and both companies and workers alike are fascinated (and more than a little dumbfounded) by how these tools allow them to do more and better work faster than ever before. Yet in fervor to keep pace with competitors and reap the efficiency gains associated with deploying AI, many organizations have lost sight of their most important asset: the humans whose jobs are being fragmented into tasks that are increasingly becoming automated. Across four studies, employees who use it as a core part of their jobs reported feeling lonelier, drinking more, and suffering from insomnia more than employees who don’t.

Get the latest from leading experts on how to transform your feelings with free tools, tips, insights, and more.

When it comes to discovery of mobile devices, it’s not just the data that’s important for discovery, but also the data about the data – the metadata – that can be used to authenticate evidence, to determine whether the data has been tampered with or not, and to provide additional probative information about that evidence. In this post, we will look at some examples of metadata and how they can provide useful evidence in discovery.

Last week, Wells Fargo fired several staff members after claiming they were faking keyboard activity to make it appear like they were working when they were not. Here is why what Wells Fargo management decided to do is just dumb.