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Here are the top 5 takeaways from this episode:
Treat AI like a brilliant entry-level employee. AI tools are incredibly knowledgeable (having “read everything on the internet”), but they work best when given clear context, iterated on, and never blindly trusted as a source of truth. Think of each new conversation as their first day on the job.
Use a structured, perspective-driven prompt. Always tell the AI who you are, who your client is, what document is being analyzed, and from whose perspective. This prevents generic, both-sides analysis and produces targeted, actionable output.
Run the same analysis across multiple AI tools. Using Paxton (legal-specific), Gemini Notebook (broad research), and Perplexity (internet + multi-model) in parallel surfaces different insights. Each tool catches things the others may miss, providing a more comprehensive review in minutes rather than hours.
Iterate the output and don’t stop at the first result. After the initial analysis, follow up with prompts like “draft this as a letter to my client” or “simplify the language.” This refines the output into polished, client-ready work product without starting from scratch.
Always verify citations against the source document. Tools like Paxton and Gemini Notebook link their analysis points back to the specific clauses they reference. Always click through and read the actual contract language, trust but verify, since AI is not infallible and your legal judgment is still essential.
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