I begin many of my presentations by asking the audience for their reaction to this statement: Social media is more biological than mathematical.
After a short while, they begin to make the connection.
You may have read a dozen “How To” articles about cracking the algorithms — which sound very mathematical — of any social media platform, but at the end of the day, you're communicating with people.

I begin many of my presentations by asking the audience for their reaction to this statement: Social media is more biological than mathematical.
After a short while, they begin to make the connection.
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Artificial intelligence is rapidly embedding itself into legal workflows, but much of the conversation treats all use cases as if they carry the same level of risk, even if they do not. The more useful question is not whether AI works, but where it can be safely applied and where it cannot.
AI-savvy lawyering is already something that clients are starting to demand. The technology is capable; the challenge now is cultural and organizational change.
There is a difference between deploying AI in an existing workflow and rethinking how legal work gets done. The organizations seeing more fundamental change are the ones redesigning their operating model around what the technology makes possible.
If junior attorneys are prevented from doing the hard work of rowing the oars by an entirely cost-efficient AI-model, they may lose the years of on-the-job training needed to become those experienced senior attorneys that can take the helm.
The autonomy and proactivity of AI agents will potentially unlock extraordinary efficiencies, but also may introduce new, untraversed surface area for cyberattacks. When AI systems are empowered to act, errors and compromises can cascade faster and farther than human-driven incidents.