AI Isn’t Thinking. It’s Predicting: The Truth About Large Language Models

Everyone’s talking about AI, but few actually understand how it works.

In this episode, we break down what large language models (LLMs) really are, how they function, and why it matters for the legal industry. We explain how these tools aren’t reasoning like humans. They’re predicting text based on patterns in massive datasets. That’s why they can sound confident while still getting things completely wrong. From hallucinations to context windows, we unpack the limits that make AI both powerful and unreliable, and how those limits impact law firms using AI for intake, research, and content creation. We also explore how to use AI responsibly, from building intake support systems to optimizing your firm’s online presence for visibility and trust in a post-Google world. AI won’t replace lawyers, but lawyers who understand AI will replace those who don’t.

💡 Key Takeaways

• LLMs are predictive, not reasoning tools.
• AI can organize and summarize but can’t think critically.
• Hallucinations happen when pattern recognition goes too far.
• Infrastructure and human oversight are non-negotiable for AI success.
• Digital presence and authority still matter — maybe more than ever.

🏢 Companies Mentioned

• Google • OpenAI • Anthropic • Oracle • LegalRev • Morgan & Morgan • Westlaw • LexisNexis • Hemmat Law • Perplexity • ChatGPT