Other firms are already marketing AI-augmented legal services. They are winning pitches you used to own.
What's happening
Harvey AI now serves 42% of the Am Law 100, which means nearly half of the largest law firms in the country can credibly market AI-augmented legal services. When a competitor walks into a pitch and says 'we use AI to deliver contract review in 48 hours instead of two weeks,' your team's response of 'we do thorough work' sounds like a euphemism for slow.
The competitive landscape is splitting. On one side, firms like NormAI — backed by Blackstone, staffed with 35 lawyers, serving clients managing $30 trillion in assets — are building entirely new models: fixed-fee, AI-powered, sold on outcomes. On the other, Lawhive acquired a traditional law firm to create an AI-first legal services platform backed by Google. These are not experiments. They are funded, scaled, and taking clients.
The firms in the middle — the ones that have adopted AI tools internally but have not changed what they sell — are the most exposed. They have the cost of AI adoption without the revenue benefit of AI-differentiated offerings. Their competitors are telling a better story in the pitch, and clients are listening.
Why the obvious responses don't work
“Buy the same AI tools competitors have”
Tools are table stakes, not differentiators. If you and your competitor both use Harvey AI, the tool is not the advantage. The advantage is what you built on top of it — the offering, the pricing model, the client experience.
“Hire an AI consultant”
AI consultants help with adoption — getting tools deployed, training staff, optimizing workflows. They do not help with commercialization — deciding what new services to sell, how to price them, and how to take them to market.
“Wait to see which AI investments pay off”
The firms waiting are losing pitches now. Clients are not evaluating your AI strategy on a five-year timeline. They are choosing between your proposal and a competitor's proposal this quarter.
What's working instead
NormAI did not try to make traditional legal services faster. They built a different model — fixed-fee regulatory compliance for financial institutions, powered by AI, staffed with lawyers who focus on judgment rather than production. Lawhive did not add AI to an existing firm. They built the platform first, then acquired the firm. The pattern is the same: the firms winning are not competing on having AI. They are competing on having built something new with it.
The pattern is the same across every firm that gets this right: they stop optimizing the old model and build new offerings around what AI cannot do. That is the work we do in the Workshop.
$15,000
Fixed fee. Two days. 2–3 offerings ready to test with real buyers.
30 minutes with Shawn Yeager. No pitch.