Google Cloud has launched two industry-specific AI solutions, Gemini Enterprise for Legal and Gemini Enterprise for Financial Services, both designed to streamline complex professional workflows while maintaining security and compliance when handling sensitive information. The launch is part of a broader push by major cloud providers, including Microsoft and Amazon Web Services, to package AI assistants for specific regulated industries.

Gemini Enterprise for Legal

Gemini Enterprise for Legal, currently available in preview, targets law firms and legal teams. It assists with contract reviews, regulatory monitoring, legal research, and the handling of privacy requests. The product features specialised AI capabilities and integrates with existing legal technology platforms including iManage, NetDocuments, RelativityOne, DocuSign, Everlaw, Harvey, Legora, and Thomson Reuters, allowing the AI to access information securely while respecting existing access permissions. The integration roster spans long-established legal software vendors as well as newer, AI-native platforms such as Harvey and Legora, a mix that reflects how quickly generative AI tools have spread through legal workflows.

The platform supports a range of legal workflows: monitoring regulatory changes, negotiating contracts, creating contracting playbooks, and addressing Data Subject Access Requests (DSARs), the information requests individuals are entitled to make under privacy regimes such as the EU's GDPR. It can, for example, track legislative updates and court dockets and compare them against an organisation's own policies to identify compliance gaps. Legal research generated through the platform relies on verified internal documents and authorised legal databases, providing traceable citations that allow lawyers to confirm the accuracy of the information — a safeguard aimed at a known failure mode of generative AI, which has produced fabricated case citations in court filings and drawn sanctions against US lawyers.

Gemini Enterprise for Financial Services

Introduced alongside the legal product, Gemini Enterprise for Financial Services is available in preview for capital markets and corporate banking. The solution is built around a Google-managed Financial Research agent equipped with over 50 specialised skills and secure connectors to financial data and research platforms. Data sources include well-known providers such as FactSet, LSEG, Moody's, MSCI, PitchBook, S&P Global, SEC EDGAR, and Dun & Bradstreet, among others.

The Financial Research agent is designed to automate multi-step research processes and to produce outputs that include source citations, confidence scores, methodologies, and data snapshots suitable for auditing purposes — the kind of documentation banks are routinely required to show regulators and internal risk functions. According to Google, the system can support a variety of workflows, including Know Your Customer (KYC) and entity research — a core anti-money-laundering obligation for banks — as well as portfolio risk analysis, credit research, advisory insights, and bond issuance. In KYC research, for instance, it can process documents such as PDFs, spreadsheets, and regulatory filings to map corporate structures and identify ultimate beneficial owners.

Early adopters

Google Cloud has reported that financial institutions such as Deutsche Bank and CME Group are already using the solution. Deutsche Bank worked as a design partner for the Financial Research agent and plans to implement it in certain areas of its Corporate Bank. The bank is also exploring the technology for applications in financial crime risk management, forecasting, scenario analysis, and pitch delivery within its Private Bank and Investment Bank divisions. For the legal product, Google stated that its launch customers include Cleary Gottlieb, Freshfields, Weil, and Williams & Connolly.

Governance and data handling

Both solutions are built on the governed Gemini Enterprise platform, which provides a central control system for security, risk management, and audit logging. Google said customer data, prompts, documents, and AI outputs remain within each organisation's private cloud environment and are not used to train or fine-tune Google's foundation models — a commitment that has become a baseline requirement for enterprises adopting AI tools, as customers push back on vendors using their data for model training. The company also said the solutions are designed to inherit existing permissions from connected enterprise systems, meaning the AI can access only information that a user is already authorised to see.

Google Cloud said Gemini Enterprise for Legal and Gemini Enterprise for Financial Services are the first of several planned industry-specific solutions, with products for sectors including healthcare and life sciences expected to follow.