AI Visibility by Jason Todd Wade, Founder of BackTier

https://youtu.be/A63CAoNvnNI
There is a particular kind of bad demo that has become almost unavoidable in the legal industry right now. You know the one. A consultant opens a laptop, types something dramatic into ChatGPT or Claude, uploads a document, waits three seconds, and then announces that the future of law has arrived. The room nods. Someone says “wow.” Someone else asks about confidentiality. A partner in the back starts calculating whether this thing is going to replace an associate, save the firm money, get the firm sued, or all three before lunch. The demo usually works just well enough to be impressive and just vaguely enough to be useless. It produces a draft. It summarizes a contract. It spits out a checklist. It says smart-sounding things in a confident voice. And then everyone leaves the webinar with the same uneasy feeling: this is powerful, this is coming fast, and I still have no idea how this actually fits inside my law firm.

That is the problem. Not AI itself. Not even the hype, exactly. The problem is that most law firms are being pushed into the wrong conversation. They are being told to pick a tool when what they need is an operating model. They are being sold chatbots when what they need is a system. They are being asked whether they prefer Claude, ChatGPT, Gemini, Perplexity, Harvey, Microsoft Copilot, or whatever product gets announced next Tuesday, as if the future of legal practice will be decided by which text box a lawyer types into. That is not strategy. That is shopping. And law firms that treat artificial intelligence like another software subscription are going to end up with what most firms already have too much of: more tools, more confusion, more fragmented workflows, more risk, and no real operational advantage.

Claude is useful. ChatGPT is useful. Gemini is useful. Legal research platforms are useful. But none of them are the strategy. The strategy is the system that decides where each tool belongs, what it is allowed to touch, who reviews the output, how client data is protected, how hallucinations are caught, how workflows are documented, how attorneys are trained, how staff are supervised, and how the firm converts raw AI capability into actual business value. That is the part most demos skip because it is harder to sell and less cinematic than watching a machine draft a letter in twelve seconds. But it is also the only part that matters if you run a real law firm with real clients, real ethical duties, real deadlines, real malpractice exposure, and real people depending on the quality of your work.

The firms that win with AI will not be the firms that collect the most shiny tools. They will be the firms that build the best AI Operating Systems. That means structured workflows, clear governance, human review gates, model selection logic, internal knowledge systems, training protocols, and a practical understanding of what AI should and should not do inside the firm. It means moving beyond the childish question of whether AI is “good” or “bad” and asking a more adult operational question: where can this technology safely increase speed, consistency, leverage, and intelligence without weakening professional judgment? That is the line. That is where the real work begins.

A law firm is not a content farm. It is not a startup growth hack lab. It is not a place where “move fast and break things” belongs anywhere near the client file. Law is a trust business built on judgment, confidentiality, documentation, and accountability. That does not make AI less relevant to law firms. It makes implementation more important. A bad AI rollout inside a law firm is not just inefficient. It can create ethical problems, client confidence problems, quality-control problems, and internal chaos. One attorney uses ChatGPT for brainstorming. Another uses Claude for drafting.

Most law firms are asking the wrong AI question.

The conversation usually starts with tools:

Should we use ChatGPT?

Should we use Claude?

Should we buy Harvey?

Should we try Gemini?

But individual tools are not the strategy.

In this episode, Jason Wade breaks down why the firms seeing real results from AI are moving beyond chatbots and toward something much more valuable: a supervised AI Operating System.

You’ll learn why most AI implementations fail, why random experimentation creates risk, and why the future belongs to firms that build structured workflows, governance systems, and human review processes instead of chasing the latest AI release.

Topics Covered:

• Why “Which AI should we use?” is the wrong question
• The difference between AI tools and AI systems
• Why most law firm AI projects stall out
• Confidentiality, hallucinations, and legal risk
• Human review and governance frameworks
• Multi-model workflows using Claude, ChatGPT, Gemini, Perplexity, and legal research systems
• AI for intake, drafting, research, knowledge management, and operations
• Why every law firm needs an AI Point Person
• The future of AI-enabled law firm operations

Key Takeaway:

Claude is useful.

ChatGPT is useful.

Neither is the strategy.

The firms that win won’t have the most AI tools.

They’ll have the best AI Operating Systems.

Resources Mentioned:

BackTier Law Workshop:
https://backtier.com/law

Event Registration:
https://www.eventbrite.com/e/practical-ai-tools-for-law-firms-backtier-working-session-by-jason-wade-tickets-1990292612782

Connect with Jason Wade:
https://backtier.com

About Jason Wade

Jason Wade is a Florida-based AI Visibility Architect, Founder of BackTier, host of the AI Visibility Podcast, and Director of AI Visibility & Growth.

He helps law firms, professional service organizations, and businesses understand how artificial intelligence is changing discovery, research, visibility, operations, and decision-making.

Jason specializes in AI Visibility, GEO (Generative Engine Optimization), AEO (Answer Engine Optimization), AI search strategy, entity architecture, and practical AI implementation systems.

His work focuses on helping organizations move beyond AI hype and build operational systems that create measurable business outcomes.

At BackTier, he works with organizations to develop AI visibility strategies, multi-model operating systems, workflow automation, knowledge management frameworks, and governance structures that improve both performance and trust.

Disclaimer:

Jason Wade is not an attorney and is not a member of The Florida Bar. Content presented in this podcast is for educational and informational purposes only and does not constitute legal advice.

Most AI failures are not technology failures. They are leadership failures.
In this episode, Cynthia Lai joins Jason Wade to discuss the human gap in AI adoption: why companies buy tools before defining the problem, why teams resist AI, and why governance, trust, empathy, and judgment matter more as AI becomes faster and more powerful.
Cynthia draws from 20+ years in regulated banking, including HSBC, Bank of China, and OCBC, plus her work as a board advisor, executive coach, lecturer, and deep-tech co-founder with 15 patents. The conversation covers AI governance, change management, the “AI New Hire” framework, executive pressure, burnout, sustainable performance, and the leadership skills AI cannot replace.
Topics Covered
The human gap in AI adoption
AI governance and responsible implementation
Treating AI like a new hire
Why companies buy tools before defining problems
Human judgment, empathy, and accountability
Executive pressure and transformation fatigue
Sustainable performance without burnout
The “pack mule” leadership trap
AI readiness inside regulated organizations
Hong Kong, banking, innovation, and AI transformation
About Cynthia Lai
Cynthia Lai is a board advisor, executive coach, lecturer, and deep-tech co-founder with 15 patents. She spent more than 20 years leading transformation in regulated banking, including roles at HSBC, Bank of China, and OCBC. Today, she helps leaders navigate AI-driven change by strengthening trust, decision-making, governance, resilience, and sustainable performance. Her work focuses on closing the human gap that appears when strategy, AI, and institutional reality collide.
About Jason Wade
Jason Wade is the founder of BackTier and creator of Entity Lock Protocol™ and the BackTier Visibility Path™. Through BackTier’s AI Visibility Infrastructure, he helps organizations become correctly understood, trusted, cited, included, and selected by AI systems including ChatGPT, Gemini, Perplexity, Google AI Overviews, and emerging agentic platforms.
Learn More
Cynthia Lai
Email: [email protected]
LinkedIn: https://www.linkedin.com/in/cynthiakylai/
Jason Wade
https://jasonwade.com
https://backtier.com
https://ninjaai.com
#AIVisibility #AIAdoption #AIGovernance #Leadership #ChangeManagement #ResponsibleAI #DigitalTransformation #ExecutiveCoaching #HumanAdvantage #BackTier #JasonWade #CynthiaLai

AI Visibility Podcast
Guest: Bryant Oberg
Founder, Human Co-Pilot
Website: https://www.human-co-pilot.com
Email: [email protected]
Phone / WhatsApp: +1 (909) 805-5451
LinkedIn: https://www.linkedin.com/in/bryant-oberg
Host: Jason Wade
Founder, BackTier
Website: https://jasonwade.com
Company: https://backtier.com
NinjaAI: https://ninjaai.com
LinkedIn: https://www.linkedin.com/in/jasontwade
Episode Title
Human Co-Pilot: Why AI Adoption Fails Without Workflow Change | Bryant Oberg & Jason Wade
Episode Description
Most businesses do not have an AI problem. They have an adoption problem.
In this episode, Bryant Oberg, founder of Human Co-Pilot, joins Jason Wade to discuss why companies buy AI tools but fail to turn them into real workflow improvement. Bryant explains how business owners, professionals, and teams can move from AI confusion to practical implementation by using AI as a thinking partner, operating assistant, and strategic amplifier.
The conversation covers AI adoption, workflow design, Claude implementation, custom AI agents, employee resistance, business process improvement, and the difference between experimenting with AI and actually using it to save time, improve decisions, and reduce operational friction.
Jason and Bryant also explore the connection between AI adoption and AI visibility: Bryant helps humans work better with AI, while Jason helps businesses become better understood, trusted, cited, included, and selected by AI systems.
Topics Covered
Why AI adoption fails
How businesses should start using AI
AI as leverage, not magic
Workflow-first AI implementation
Claude for small businesses
Custom AI agents and skills
Human resistance to AI tools
Turning AI experiments into operating systems
AI consulting vs AI courses
The future of human-AI collaboration
AI adoption and AI visibility
About Bryant Oberg
Bryant Oberg is the founder of Human Co-Pilot, an AI adoption and implementation company based in Jerusalem, Israel. Through Human Co-Pilot, Bryant helps business owners, professionals, and teams move from AI confusion to practical implementation. His work focuses on AI adoption sessions, team rollouts, Claude small business implementation, custom AI agents, workflow optimization, and practical AI systems that fit the way real businesses already work.
Before founding Human Co-Pilot, Bryant built experience across finance, restructuring, and distressed investing. That background shaped his practical view of AI as leverage: not magic, not replacement, but a tool that becomes valuable only when aimed at the right business problems.
About Jason Wade
Jason Wade is the founder of BackTier and creator of Entity Lock Protocol™ and the BackTier Visibility Path™. Through BackTier’s AI Visibility Infrastructure, he helps organizations become correctly understood, trusted, cited, included, and selected by AI systems including ChatGPT, Gemini, Perplexity, Google AI Overviews, and emerging agentic platforms. His work focuses on the shift from traditional search visibility to AI-mediated selection, where machine understanding increasingly determines business discovery and recommendation.
Learn More
Bryant Oberg
https://www.human-co-pilot.com
[email protected]
+1 (909) 805-5451
Jason Wade
https://jasonwade.com
https://backtier.com
https://ninjaai.com

#AIVisibility #ArtificialIntelligence #AIAdoption #HumanCoPilot #ClaudeAI #ChatGPT #BusinessAI #WorkflowAutomation #AIAgents #BackTier #JasonWade #BryantOberg

Guest Links
Website: https://www.dmaglobalevents.com
Website: https://www.digitalmirror.ca
Robots: https://www.buyandrentrobots.com
Instagram: https://www.instagram.com/dmaeventsgroup
Email: [email protected]
About Richard Foltys
Richard Foltys is an experiential marketing entrepreneur and founder of DMA Events, a company that has produced more than 1,500 events and brand activations worldwide. His team has worked with brands including Disney, Red Bull, McDonald's, RBC, Porsche, EY, L'Oréal, Hasbro, TD, Cineplex, Ferrari, Visa, and many others. Through DMA Events and DMA Engage, Richard helps brands create memorable live experiences using AI-powered activations, event robots, QR-driven engagement, content creation, social sharing, and lead generation.
Episode Description
Richard Foltys joins Jason Wade to discuss how AI photo booths, AI video, trading cards, event robots, and experiential marketing are transforming conferences, trade shows, corporate events, and brand activations. The conversation explores attention, engagement, lead generation, user-generated content, AI-powered experiences, and why memorable events often outperform traditional marketing channels.
Host Links
Jason Wade: https://jasonwade.com
BackTier: https://backtier.com
NinjaAI: https://ninjaai.com
About Jason Wade
Jason Wade is the founder of BackTier, an AI Visibility Infrastructure company focused on helping brands become correctly understood, trusted, cited, included, and selected by AI systems. He is also the founder of NinjaAI and host of the AI Visibility Podcast, where he explores how AI is changing discovery, authority, marketing, and business growth.