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Law firms are racing to adopt AI, but behind the impressive demos lies a sobering question: Can you really trust an AI tool like Gemini to protect privileged client information?
Gemini in Google Workspace is fast for drafting documents and summaries, but it is a general enterprise AI. Legal-specific tools, such as Spellbook, Harvey AI, and CoCounsel, prioritize attorney-client privilege, Microsoft Word native workflows, and strict data controls.
This article examines whether Gemini is private enough for legal work. It reviews how Gemini handles data, conversations, and documents, compares its versions, and explains why legal-specific AI tools like Spellbook offer stronger compliance and confidentiality.
Entering client-confidential information into Gemini can risk waiving the attorney–client privilege. Because Gemini is a general enterprise AI tool rather than a legal-specific system, any data entered into it may be subject to internal processing or administrative review.
Under ABA Model Rule 1.6 and state equivalents, lawyers must ensure that any tool handling client data meets their firm’s confidentiality safeguards. Google states that Gemini Apps Activity doesn’t use user data for model training and handles user information in accordance with privacy laws and company policy, but this doesn't guarantee complete protection.
Gemini stores limited user data to improve system functionality and performance, meaning some prompts or responses may temporarily persist. Unless your firm has a verified enterprise contract with strict data isolation and zero-retention rules, treat Gemini as a non-privileged channel for sensitive input.
If your firm plans to use AI tools, update engagement letters or tech-use disclosures to ensure clients understand when and how AI is being used.
To see how other privacy-first AI platforms compare, visit the most private AI options for legal professionals.
Google manages data differently across Gemini tiers. In consumer and paid versions, your prompts and documents may be stored for up to 36 months and reviewed to improve services. In Workspace enterprise accounts, Google’s Training Restriction clause prevents model training without customer consent, though it may still retain some data for diagnostics and system maintenance.
Any prompt or uploaded document could be included in aggregated data or remain in internal backups. The service ensures that user interactions are protected through data encryption. It protects sensitive data with advanced security protocols and compliance standards, and secures user sessions through encrypted communication channels.
However, complete deletion is not guaranteed. Even deleted activity may persist temporarily in backups or logs. Lawyers should assume all input is retained unless their enterprise contract guarantees full data isolation and verified deletion.
Firms should always request documentation clarifying who can access data, how long it’s retained, and whether it’s used for training or review. Depending on tier and configuration, Gemini data may be accessible to Google support staff, internal engineers, contracted third-party service providers, and your firm’s Workspace administrators via usage and audit logs.
Google manages user privacy by restricting access to stored information, safeguarding conversations and personal data under strict internal policies, and limiting data collection to ensure user privacy and minimal exposure.
Even with these measures, general AI systems are considered “open” environments with significant confidentiality risks. In law, “may be secure” doesn’t cut it. You need a tool like Spellbook that’s built to lock down information.
Gemini comes in consumer, Plus, and enterprise/API tiers, each with different controls for access, retention, and auditing. Know these differences before entering client data to ensure confidentiality and compliance.
Law firm use should focus only on versions that provide enterprise-grade protections with verified data isolation and auditable retention.
For a detailed breakdown of risks and controls, read Gemini for Lawyers: What Firms Should Know.
API / Workspace Enterprise is the best choice for lawyers. It offers enterprise controls, including audit logs, role-based access, DLP, Vault, client-side encryption, and contractual training restrictions, with verified isolation and minimized retention.
It also respects users' privacy preferences and regulatory requirements, and regularly reviews privacy policies to remain compliant with global standards. Even with these safeguards, only enterprise-grade agreements provide adequate protection for privileged data.
Here are the leading Gemini alternatives built for legal privacy and workflows. Compare them to Gemini on confidentiality, privilege protection, and fit for daily transactional work, and you’ll see why they come out on top.
Spellbook is the leading AI platform for transactional law, integrating directly within Microsoft Word to preserve lawyer control, privilege, and auditability. Every AI-assisted edit is recorded as a tracked change under the lawyer’s name to ensure full oversight and compliance.
Unlike Harvey and CoCounsel, Spellbook operates entirely within Word, with no training on your data and no human outsourcing, which strengthens privilege protection and audit trails.
Spellbook’s design prioritizes features such as Zero Data Retention (ZDR) agreements with LLM providers and SOC 2 Type II compliance, which directly address the need for maximum privacy and privilege protection that general AI tools cannot guarantee.
Spellbook controls data sharing to prevent third-party misuse, restricts employee access to personal user data, complies with regulations such as GDPR and CCPA, and continuously updates security measures to address emerging threats.
With built-in AI drafting from precedents, automated redlining, and review, Spellbook lets legal teams work faster without leaving Word or retraining their staff. Built-in benchmarks provide market-standard comparisons against 2,000+ industry standards. Automated Playbooks enforce consistent, custom reviews, and the Associate feature streamlines multi-document transactions, all in a Word-native experience that competitors do not offer.
Harvey AI is built for law firms and enterprises, focused on legal, regulatory, and tax work with citation-backed answers. It offers enterprise-grade security with zero training required for your data, and secure Vault workspaces for large document sets.
Agentic workflows and custom legal models automate complex tasks across due diligence, contract review, and litigation. Compared with general AI like Gemini, Harvey prioritizes confidentiality and professional-grade accuracy.
CoCounsel is an AI legal assistant for research, document analysis, and drafting. Originally built by Casetext, it was acquired by Thomson Reuters in August 2023 and now integrates with Westlaw and Practical Law. It offers enterprise-grade security and states it does not use client materials to train its models, supporting privacy and confidentiality.
As a cloud-hosted service, protection depends on contracts, encryption, and vendor controls. Firms seeking maximal local control for transactional work may prefer Spellbook’s Microsoft Word integration and minimized data transfer.
If you’re comparing mainstream AI tools like Perplexity and ChatGPT, read about how private Perplexity really is for an overview of its data and privacy practices, then read ChatGPT’s privacy and data controls explained to understand how OpenAI manages retention and access.
If your firm chooses to use Gemini, follow these best practices to reduce confidentiality and privilege risks:
Used purposefully and within a clear governance framework, Gemini can help accelerate administrative and research tasks without compromising professional duties.
Spellbook is specifically designed for law firms that need privacy, audit trails, and privilege-safe workflows. It integrates directly with Microsoft Word and leading document management systems, delivering contract-focused AI drafting, review, and negotiation tools while keeping firm and client data fully isolated.
Where Gemini serves general enterprise users, Spellbook is created exclusively for lawyers who need confidentiality, compliance, and control in every document.
Explore Spellbook’s legal-AI platform to see how specialized technology can strengthen your firm’s security and streamline transactional work.
No. Gemini lacks legal privilege protections and shouldn’t be used to store sensitive client data. For privileged work, Spellbook offers legal-grade confidentiality with no training required, full audit trails, and complete control within Microsoft Word.
Human review may occur in limited cases under strict controls. If that risk is unacceptable, avoid entering sensitive information and use a legal-specific AI tool instead.
In Workspace apps, prompts are typically not retained, while the Gemini app allows admins to set retention periods of up to 36 months. Adjust Gemini Apps Activity and account settings to limit or disable storage. For stricter confidentiality, use a tool that anonymizes inputs and avoids permanent data retention.
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