Legal

The information, descriptions, and disclaimers on this website (including this Legal page and any related marketing or informational content) are for general informational purposes only and do not constitute an offer, commitment, or legal advice. In the event of any conflict or inconsistency between this website and the terms of any written agreement between RBA, Inc., and a client (including but not limited to master services agreements, statements of work, order forms, or similar documents), the terms of the written agreement will govern and control. No content on this site shall amend, supplement, or override any such agreement, nor create any warranty, obligation, or liability beyond those expressly set forth in the applicable contract.

The RBA Data Privacy Auditor leverages proprietary technology and processes, fine-tuned across millions of digital assets and dozens of global systems, to deliver unparalleled accuracy in privacy risk detection. This sophisticated engine goes beyond surface-level scanning by fully rendering complex web applications, dynamic content, and interactive elements to identify hidden data flows and compliance vulnerabilities that conventional tools routinely miss.

The RBA Data Privacy Auditor—with the backing of human-based oversight—is designed to identify, map, and help address a broad range of privacy risks and operational questions found within typical privacy questionnaires. While the Auditor cannot guarantee perfect coverage or legal sufficiency, it is engineered to maximize visibility and documentation regarding these issues, so clients can address gaps and comply with industry standards.

• RBA’s Data Privacy Auditor is designed to maximize the scope and reliability of findings, but clients are responsible for interpreting and directly validating legal compliance, operational feasibility, and policy sufficiency in consultation with their legal counsel.
• Not all privacy processes (such as internal HR controls or non-public data flow practices) can be fully detected by the Auditor, so manual review and cross-team collaboration remain critical to a comprehensive privacy program.

RBA’s Digital Visibility Auditor helps organizations understand how effectively their digital experiences support being found, understood, and used by people, search engines, and AI-powered experiences by analyzing them through the combined lenses of accessibility, technical SEO, and generative engine optimization (GEO). Instead of running separate audits with overlapping scope, it unifies these signals— while simultaneously overlaying telemetry from popular analytics and insights tools—into a single, cost-effective, consolidated view of how humans, crawlers, and AI systems experience your content, so teams can prioritize the changes that matter most.

The RBA Digital Visibility Auditor—with the backing of human‑based oversight—is designed to surface and organize a broad range of accessibility, SEO, and GEO‑related issues and opportunities across typical digital experiences within the agreed scope. While it aims to maximize visibility into structural gaps and optimization areas, it does not and cannot guarantee legal compliance, specific rankings, traffic levels, AI citations, or business outcomes.

Audit findings represent a point‑in‑time assessment based on the configuration, environments, and content available during the engagement, and may not capture every issue, template, content variant, or user scenario. Changes made after the audit—by your organization, third‑party vendors, or platform updates—can introduce new issues or alter previously observed behavior, and RBA is not responsible for monitoring or remediating those changes unless engaged to do so under a separate agreement.

Implementation of recommendations, selection of priorities, and any legal or regulatory interpretations remain the responsibility of the client and their counsel. The Auditor is not a substitute for legal advice, accessibility certification, or regulatory determinations; clients should consult appropriate professionals (such as legal, compliance, privacy, or accessibility specialists) to evaluate how audit findings relate to specific laws, regulations, and internal policies (including but not limited to ADA/WCAG, privacy laws, or sector‑specific rules).

RBA’s use of applied AI is focused on accelerating analysis and drafting suggested improvements (for example, content alignment ideas, potential schema types, OG candidates, or alt‑text options), which are then reviewed by RBA and provided to the client as recommendations. Clients are responsible for deciding whether and how to implement these suggestions, validating them against brand, risk, and compliance requirements, and testing them in their own environments.