Shared Links (weekly) Jan. 12, 2025
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Technology, especially M365 technology, changes all the time. It’s vast and complicated, and things get broken when new versions are rolled out. When dealing with eDiscovery, security, privacy, etc., we have to stay on top of those changes to understand new features and ensure the old ones still work the same way.
Don’t assume the old ones will always work the same way. I can tell you from this and plenty of other experiences they often don’t.
Workers aren’t ignorant about what their companies do and how their work contributes to the company; they don’t care. Nor should they. Not when the company’s profits can reach astronomical new highs and workers are lucky to get a raise that matches the cost of living increase for that year. Not when we can work our asses off to be successful remotely and continue to make the company all that profit only to be told that we have to come back to the office every day at our own expense. Not when 10% of them got laid off to ensure that the shareholders and CEO’s got theirs.
People aren’t detached from the company because it hasn’t explained what they do correctly. They simply don’t give a flying fuck about a company that hasn’t given a flying fuck about them their entire careers.
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I’ve seen many people in the L&D space talk about using AI for training, and I think there is a place for it. There is also a place for deep learning that isn’t assisted by an AI tool. For instance, I don’t use AI to write for me. As someone who puts out as much written content as I do, you may find that surprising, but I tried it and quickly realized it wasn’t for me. Why? Because the writing process is part of my learning process. Taking information I see or read and trying to share in a way that makes sense to the reader is an integral part of understanding it better. You could argue that this blog is mainly for me, not the readers because as I try to understand legal technology, I must write about it. I need to turn around and explain it.
If I ask AI to do legal research or provide legal insights, should I assume that the data would be privileged? As the article points out, why would I believe that if no lawyers were involved?