Insights
Field observations. Frameworks we use. Arguments we stand behind. No hype. No predictions 10 years out.
Traditional medical marketing vs. AI search visibility
How traditional medical advertising differs from getting AI to recommend you, why they don’t compete with each other, and when each makes sense.
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Medical reviews and reputation in the age of AI
Why your patients’ reviews now shape what AI says about you, how to ask for them ethically, and why fake reviews are a risk, not a shortcut.
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How much does it cost to improve a doctor’s AI search visibility?
The real costs of becoming visible to AI and on Google, the ranges to expect, and how to tell a serious investment from an empty promise.
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AI Prompts for Lawyers: A Library by Practice Area
The anatomy of an effective legal prompt and ready-to-use templates for civil, commercial, labor, tax, and corporate law—with verification rules to avoid citing fabricated case law.
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How to tell whether AI is already recommending your practice
A simple, repeatable method to audit for yourself, today, what ChatGPT, Gemini, and Perplexity say when a patient asks about a specialist like you.
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Is it safe to use AI in a law firm? Professional confidentiality and the LFPDPPP
The number-one objection to legal AI is the right one: confidentiality. What the LFPDPPP requires, what Mata v. Avianca taught, and the safeguards checklist a law firm should require before using any model.
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Physician visibility on Google and Google Maps in 2026
How to reach the top 3 on Maps and the top Google results for your specialty and city—and why that also informs what AI says about you.
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How to appear in ChatGPT as a medical specialist
What an AI model needs to mention you when a patient asks for the best specialist in your specialty and city — and how to build that presence without making empty promises.
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Claude for Lawyers: What It Is, Use Cases, and How to Implement It
Why Claude (Anthropic) became the go-to model for legal practice: Claude for Legal, a 200K-token context window, a no-training policy, and the implementation path for a Mexican law firm.
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What is the best AI for lawyers? An honest comparison 2026
Claude, ChatGPT, Harvey, CoCounsel, and Mexican platforms compared side by side: confidentiality, legal capabilities, cost, and integration criteria—without the bias of someone selling the tool.
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AI for Lawyers in Mexico: Complete Guide 2026
What artificial intelligence can do today in a Mexican law firm, what tools are available, what the law says about confidentiality, and how to adopt it without risking professional confidentiality.
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Playbook, POC, or MVP in AI: Which Deliverable to Require
The difference between a playbook, POC, and MVP in AI projects: definitions, a comparison table, relative investment, and criteria for requiring the right deliverable.
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Generative AI Policy: A Prescriptive Guide for Businesses
How to draft an actionable generative AI use policy. Five required sections, sample language, LFPDPPP, NIST AI RMF, and an audit for the Mexican mid-market.
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How to Build an AI Committee: Roles, Composition, and Governance
Practical guide to establishing an effective AI committee: 5 non-negotiable roles, profiles to exclude, a minimum charter, and operating routines for the Mexican mid-market.
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What is an AI roadmap for a company
An AI roadmap is a decision-making system under uncertainty that balances value, technical feasibility, and organizational maturity. How to structure it by horizon.
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How do you know if your company is ready for AI?
Assessment across 5 dimensions: data, processes, leadership, and culture. Identify whether your company needs AI or prior enablement work.
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