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AI
Seeing around corners
Used well, AI is a force multiplier.
It can review thousands of contracts in the time it once took to review dozens. It can surface anomalies across global operations. It can identify patterns in disputes, compliance gaps, and exposure risks that would otherwise remain invisible.
In a profession built on pattern recognition, precedent, language, structured reasoning, this is a natural alignment.
The opportunity is not just speed. It’ s clarity. Clarity at a scale that was previously impossible.
And for organizations willing to embrace it, that clarity translates into something powerful: better decisions made earlier.
Confidence without understanding
But here’ s the tension.
AI doesn’ t“ know” anything. It predicts.
It generates output based on patterns in data, not grounded understanding. And when those outputs are wrong, they are often wrong with confidence.
That’ s what makes the earlier story so instructive. The memo didn’ t fail because someone wasn’ t smart. It failed because the system being relied upon was misunderstood.
And that misunderstanding introduces a new category of risk, one that doesn’ t fit neatly into traditional legal frameworks.
There are, of course, the familiar concerns:
■ Data privacy and security obligations under laws like the General Data Protection Regulation and the California Consumer Privacy Act
■ Bias embedded in training data that can create discriminatory outcomes
■ Intellectual property questions around AI-generated content But layered on top of those is something newer. Speed without governance.
Decisions being made faster than the structures designed to evaluate them. modern-counsel. com 19