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The “Hallucination” Liability: When AI Gives Bad Advice

The “Hallucination” Liability: When AI Gives Bad Advice

In the early days of artificial intelligence, “hallucinations” were treated as a novelty. Chatbots confidently invented facts, policies, or citations, and most people laughed it off as a quirky limitation of a new technology. As we move into 2026, that amusement has...

The AI Vendor Contract: Negotiating Indemnification In 2026

The AI Vendor Contract: Negotiating Indemnification In 2026

When a business signs up for an enterprise AI platform, it is not simply purchasing software. It is entering into a complex risk-sharing relationship. Traditional Software-as-a-Service agreements were written for tools that behave predictably. Artificial intelligence...

Data Privacy 2.0: Training Models Without Breaking The Law

Data Privacy 2.0: Training Models Without Breaking The Law

Data is the fuel powering the AI economy. For many businesses, the most valuable fuel source is not scraped data or third-party datasets, but first-party data: customer emails, purchase histories, support tickets, chat logs, and behavioral insights collected through...

Algorithmic Management: The New Frontier Of Labor Law

Algorithmic Management: The New Frontier Of Labor Law

For most of modern history, management was built on human judgment. Supervisors assigned work, evaluated performance, and handled discipline through direct, person-to-person interaction. Our Clarksburg, WV wrongful termination lawyer knows that that model is rapidly...

AI In Hiring: Avoiding The Algorithmic Bias Trap

AI In Hiring: Avoiding The Algorithmic Bias Trap

For human resources teams, artificial intelligence once sounded like a miracle. Software that could scan thousands of resumes in seconds, rank candidates objectively, and remove human subjectivity from hiring decisions promised speed, efficiency, and fairness. By...