For the past two years, predictions about AI and employment have centered on lawyers, consultants, and other knowledge workers. The assumption was straightforward: the more knowledge-based the role, the greater the disruption.
The latest article from Inc. suggests the picture is more complex.
As Rudy DeFelice explains:
AI currently automates portions of these jobs, but it does not automate the responsibility attached to them.
That distinction matters because organizations don't hire professionals simply to complete tasks. They rely on them to interpret information, manage risk, advise clients, and make decisions that carry real consequences.
What this means for legal organizations
For law firms and law departments, the conversation is shifting from whether to use AI to how to use it effectively.
The challenge isn't replacing professionals. It's redesigning workflows so AI supports routine work while people remain accountable for quality, judgment, and client outcomes.
Organizations that approach AI this way are asking better questions:
- Which activities should AI support?
- Where should human judgment remain central?
- How should governance evolve alongside new technology?
Those decisions will shape the next phase of AI adoption far more than the technology itself.
This is a summary of an article available through Inc.
- AI
- Workflow automation
- Talent
- Show all 6
