The Double Bias Problem: What Every Woman Attorney Needs to Know About AI

I started researching AI visibility out of curiosity. What I found changed the direction of my entire career. I'm Joy Morales, founder of the Women's AI Visibility Institute, and after two years of research and data collection across hundreds of Colorado, Texas and Florida women attorneys, the numbers told a clear story: 69.4% of Colorado women attorneys fall below the AI visibility threshold. That means when a potential client asks AI to find them a lawyer, most of you don't appear.

AI visibility is simply whether you show up when an AI platform is asked to recommend an attorney in your practice area. And for most women attorneys, the answer right now is no. This isn't bad luck. It's a double bias problem and it started long before your website was built.

The First Bias: History Wrote You Out

AI systems learn from existing data.

For decades, legal publishing, case citations, bar directories, law review articles dramatically underrepresented women. AI didn't create that imbalance. It inherited it.

When an AI platform was trained, it absorbed a legal world where men were cited more, quoted more, and featured more. That foundation is baked in, and it quietly shapes every recommendation those platforms make today.

The Second Bias: It's Happening Right Now

Here's what stings more: the bias isn't just historical. It's live.

Every day, AI platforms scan the web and score what they find: Schema markup, legal directory profiles, LinkedIn signals, website structure. These are the invisible infrastructure signals that tell AI this person is a credible attorney worth recommending.

My research found that 94% of Colorado women attorneys are missing schema markup entirely, the single most important technical signal for AI visibility. No one told you this was required. That's not a personal failure. It's a systemic gap that nobody in the legal profession has been talking about until now.

The Compounding Effect

These two biases don't just coexist. They compound.

Less AI visibility means fewer recommendations. Fewer recommendations mean less new data being generated about you. Less data means even lower visibility in the next AI training cycle. The attorneys who are already visible get more visible. The attorneys who are already invisible fall further behind. Waiting is not a neutral choice. Every month this goes unaddressed, the gap widens.

You Deserve to Be Found

The good news? This is fixable. 

The signals AI looks for can be built. The gaps can be closed. And the more women attorneys who understand this problem, the more pressure we can put on the profession to address it systemically.

In future posts, I'll walk you through what the data actually shows, what you can do about it practically, and what we should be doing as a profession to level the playing field for women attorneys.

It’s not what you’re are doing with AI…It’s what AI is doing to you!