Google's legal AI push targets law firms and in-house teams
Google has launched Gemini Enterprise for Legal, an AI assistant built specifically for law firms and legal departments. The product plugs into tools lawyers already use, including Google Docs, and includes skills for redlining contracts, creating regulatory playbooks, and handling privacy requests. Google general counsel Halimah DeLaine Prado discussed the rollout in an interview with the Original Jurisdiction podcast.
Prado, who has served as Google's GC since 2020, said the product was co-developed with law firms to address the security and confidentiality obligations that legal work demands. "As lawyers, we have duties. We have a duty of privilege. We have a duty of confidentiality," she said. "We have to build tools that meet our customers where they're at and meet their needs."
How the product handles confidential data
A key design decision: Gemini Enterprise for Legal does not use customer information to train Google's foundation models. That means privileged or confidential client material stays within the firm's environment. The platform also includes a dashboard where firms can set project-based access controls, keeping separate client matters isolated from one another.
Google designed the product to work with existing legal technology rather than replace it wholesale. Prado said interoperability is "table stakes" for enterprise platforms, noting that firms can customize installations of tools like Word, Harvey, and Everlaw without being locked into one vendor. For legal professionals evaluating AI options, the AI for Legal landscape now includes purpose-built offerings from major cloud providers alongside specialized startups.
Billable hours and legal employment under pressure
Prado predicted that the billable hour "will need to change." She said AI compresses repeatable tasks and information retrieval from days to minutes, which will push firms toward alternative fee arrangements that compensate judgment rather than volume. "AI will not replace judgment, but it will replace repeatable tasks," she said.
On employment, Prado acknowledged that roles centered on repeatable work may shrink, but argued that core lawyering - arguing to a jury, crafting novel legal theories - remains human work. She compared the shift to how voice-over-IP technology changed switchboard operator roles while telecom companies still employ large workforces managing newer infrastructure. Support roles in legal teams may evolve similarly, and structured training like the AI Learning Path for Paralegals reflects how legal support functions are adapting.
Ad-tech ruling and social media litigation
Prado also addressed the September 2 ruling from Judge Leonie Brinkema in the Eastern District of Virginia, which declined to break up Google's advertising technology business despite finding monopolies in parts of the ad-tech market. "We're very pleased with the court's decision," Prado said, while declining to discuss specifics of ongoing litigation.
On lawsuits against social media platforms over youth safety, Prado said Google feels confident about its position regarding YouTube. She pointed to existing features: a shorts timer that lets parents set daily limits down to zero, no direct messaging for users under 18, autoplay off by default for minors, and an education player with ad-free, recommendation-free learning tools. "We keep kids safe online. We feel very strongly about it," she said.
Why this matters for legal professionals
Google's entry into legal-specific AI signals that major technology companies see law as a distinct market requiring tailored tools, not generic chatbots. For practicing lawyers, the practical takeaway is twofold: clients will increasingly expect firms to use AI for efficiency without billing for routine tasks, and the security architecture of any AI tool - where data goes, who can access it - should be evaluated as rigorously as the output quality. Firms that ignore either pressure risk losing both work and trust.
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