Law.com’s tracking of Big Tech’s expansion into legal services reveals a trend that law firms have been slow to acknowledge: the companies that built the cloud infrastructure and AI models are now building the applications that sit on top of them — including applications that compete directly with legal tech vendors and, increasingly, with law firms themselves.
The pattern is consistent across every major technology company. Microsoft has integrated AI contract analysis into its enterprise suite through Copilot. Google’s Vertex AI is being used by corporate legal departments for e-discovery and compliance monitoring. Amazon’s AI services power document review workflows that used to require teams of junior associates. None of these companies are law firms, but all of them are building tools that perform work historically done by lawyers.
The legal industry’s response has been fragmented. Large firms are investing in their own AI capabilities, hiring data scientists and building proprietary tools. Mid-size firms are licensing third-party solutions from legal tech vendors like Relativity, DISCO, and Everlaw. Small firms are mostly ignoring the shift, betting that client relationships and specialized expertise will protect them from technological disruption.
The bet might be right — but not for the reasons small firms think. AI is good at pattern matching across large document sets, extracting relevant clauses, and flagging inconsistencies. It’s bad at judgment, strategy, and the kind of nuanced client counseling that defines high-value legal work. The work AI replaces isn’t the work partners do. It’s the work associates used to do: document review, due diligence, basic contract drafting. That’s not existential for law firms, but it changes the economics of legal practice fundamentally.
A separate report from Law.com noted that most legal AI tools are “probably under-governed.” Firms are adopting AI faster than they’re building the compliance frameworks to manage it. The risks are real: AI systems trained on client data create confidentiality concerns. Models that hallucinate case law can produce briefs citing nonexistent precedents — and that’s already happened in multiple jurisdictions. The push toward AI adoption is running ahead of the guardrails.
For corporate legal departments, the calculus is different. They’re not selling legal services — they’re buying them, or increasingly, automating them. When Microsoft or Google offers AI-powered contract analysis as part of an existing enterprise subscription, the marginal cost is near zero. That changes the build-versus-buy decision in ways that favor automation over outside counsel.
The most likely outcome is a split market. High-value strategic legal work stays with law firms. Routine, volume-based legal tasks move to AI tools — some built by legal tech vendors, some built by Big Tech, some built in-house by corporate legal departments. The firms that survive will be the ones that figure out how to charge for judgment rather than hours. The rest will compete with software on price — and lose.
