By Cindy Moen
A few years back, I ran the Twin Cities Marathon, billed as the most beautiful urban marathon in America. And it was: the day dawned crisp and clear with blue skies and perfect running temperatures.
Law firms can’t expect immediate results from their marketing programs. Just like you can’t go out and run a marathon in a day without the careful work of preparing for it, you can’t launch a single marketing program and expect immediate sales. Marketing requires strategy, endurance, and consistent effort over time. A sprint mindset may bring temporary gains, but a marathon approach builds long-lasting relationships, brand equity, and sustainable growth.

By Cindy Moen
A few years back, I ran the Twin Cities Marathon, billed as the most beautiful urban marathon in America. And it was: the day dawned crisp and clear with blue skies and perfect running temperatures.
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Despite widespread investment into AI across the legal industry, just a small group of law firms are consistently realizing measurable returns in operational speed, financial visibility and revenue performance, according to a new report from Law.com and legal industry technology provider Elite.
Most firms are aiming their newest tools at the work they already do — pouring their most powerful technology into running the same tasks a little faster. But when everyone automates the same tasks at once, no one pulls ahead. That reaches the future a little faster while leaving a firm’s largest opportunity untouched — and that opportunity isn’t doing more of the existing work, but transforming how the high-value work gets done.
AI is becoming both an accelerant and a distraction for cybersecurity. In many respects, AI is acting as a stress test for existing security operations by exposing how difficult many organizations still find it to enforce basic controls consistently at scale.
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.