Plans & Pricing
About Gavel
Careers
Product Wishlist
Subdomain Log In
Manage Account
Your checklist of the legal AI security questions you should ask your legal software vendors. We break down what matters, and how to ensure you're using responsible and secure AI.
Easy intake and document automation to auto-populate your templates.
In the rapidly evolving world of legal technology, law firms increasingly rely on AI-driven tools to enhance efficiency and accuracy. However, with great power comes great responsibility—specifically, the responsibility to ensure that these powerful tools do not compromise client data or firm integrity. Here are essential security questions every law firm should ask their legal software vendors to safeguard their operations. Check out our CEO's video on this topic:
At Gavel, we prioritize data security in all our handling and partnerships with AI models. Legal software often integrates with large language models from providers like OpenAI, Google, or Anthropic, each offering different data usage terms. Our agreements ensure that these models do not retain or train on your data, giving you confidence in how your information is managed.
It's crucial to verify that your client data is used solely for the intended services. At Gavel, we commit to not using your client data for training our models. We maintain strict data isolation and robust security measures to prevent unauthorized access.
Inquire about the storage locations and the security protocols in place. Ensure that your data is protected with end-to-end encryption, both in transit and at rest, and managed through secure encryption key practices, along with stringent data segregation.
Especially important in less regulated jurisdictions, understand your rights under the vendor's data retention and deletion policies. For instance, Gavel pledges to delete all customer data within a defined period post-account termination or upon customer request, ensuring compliance with laws like GDPR or CCPA.
By asking these questions, law firms can better understand their legal software vendors' commitment to security and make more informed decisions about who they trust with their sensitive data.
AI can speed up the review of complex Data Protection Agreements by flagging risky or unclear clauses before they become problems. With AI, you can run your own playbook directly in Word, instantly spotting issues like vague processing purposes, missing security measures, or weak liability terms.
How are lawyers using legal-grade AI directly in Microsoft Word to review employment contracts faster and more accurately? Gavel Exec flags missing or risky clauses, like unenforceable non-competes or vague severance terms, and offers redlines and benchmarking based on your internal standards. Whether you're reviewing third-party paper or updating templates, Gavel Exec gives you a head start without sacrificing legal judgment.
ChatGPT might be a handy AI assistant for legal brainstorming and internal drafts—but when it comes to high-stakes contract work, it falls short on precision, security, and redlining. This article explores where ChatGPT helps, where it fails, and why tools like Gavel Exec offer a smarter, more secure alternative for real-world legal workflows.
