To ensure accuracy in its legal AI, LexisNexis unexpectedly hired a large number of lawyers, not just data scientists. These legal experts are crucial for reviewing AI output, identifying errors, and training the models, highlighting the essential role of human domain expertise in specialized AI.

Anthropic is publicly warning that frontier AI models are becoming "real and mysterious creatures" with signs of "situational awareness." This high-stakes position, which calls for caution and regulation, has drawn accusations of "regulatory capture" from the White House AI czar, putting Anthropic in a precarious political position.

When prompted, Elon Musk's Grok chatbot acknowledged that his rival to Wikipedia, Grokipedia, will likely inherit the biases of its creators and could mirror Musk's tech-centric or libertarian-leaning narratives.

AI's integration into democracy isn't happening through top-down mandates but via individual actors like city councilors and judges. They can use AI tools for tasks like drafting bills or interpreting laws without seeking permission, leading to rapid, unregulated adoption in areas with low public visibility.

Anthropic faces a critical dilemma. Its reputation for safety attracts lucrative enterprise clients, but this very stance risks being labeled "woke" by the Trump administration, which has banned such AI in government contracts. This forces the company to walk a fine line between its brand identity and political reality.

Unlike AI companies targeting the consumer market, Anthropic's success with enterprise-focused products like "Claude Code" could shield it from the intense political scrutiny that plagued social media platforms. By selling to businesses, it avoids the unpredictable dynamics of the consumer internet and direct engagement with hot-button social issues.

While AI "hallucinations" grab headlines, the more systemic risk is lawyers becoming overly reliant on AI and failing to perform due diligence. The LexisNexis CEO predicts an attorney will eventually lose their license not because the AI failed, but because the human failed to properly review the work.

When developing AI for sensitive industries like government, anticipate that some customers will be skeptical. Design AI features with clear, non-AI alternatives. This allows you to sell to both "AI excited" and "AI skeptical" jurisdictions, ensuring wider market penetration.

Effective AI policies focus on establishing principles for human conduct rather than just creating technical guardrails. The central question isn't what the tool can do, but how humans should responsibly use it to benefit employees, customers, and the community.