Tim Hallam leads the technical layer of research at the Women's AI Visibility Institute (WAVI). WAVI's scans record what AI platforms say about an attorney. Tim's audits measure the other side of the question: what the attorney's own website actually tells those platforms, and whether AI can read it at all.

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His career began in private education and extended into electronic data systems and several entrepreneurial startups. That combination of classroom experience, large-scale data work, and building new ventures from the ground up made him a natural fit for a research institute studying a problem no one had yet measured.

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Tim conducts the technical website audits for WAVI's state studies using Sitebulb, professional auditing software that examines a website the way a search engine or AI system would. His audits form the technical portion of WAVI's 112-point AI Visibility Framework, including whether a site gives AI systems permission to read its pages and a clear map for finding them.

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His work has evolved alongside the research itself. In Colorado, Tim examined 151 law firm websites with a straightforward question: did each site carry behind-the-scenes code describing the business to search engines and AI? When the study expanded to 242 Texas websites, it became clear that presence alone did not tell the whole story. Tim began distinguishing generic code from code specific to the legal industry, and evaluating whether a firm's code actually defined what the business was and what it did. That work produced one of WAVI's central findings: 84% of attorney websites carried this code, but only 28% labeled the business as a legal service. WAVI calls this pattern false presence.

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In Florida, his analysis of 349 websites refined these classifications further. Tim examined the quality, relevance, and effectiveness of each site's code, including the difference between code a firm added intentionally and code its website platform generated on its own. This audit work also supplies the website-side measurement behind the Perception Gap: the difference between what is actually on an attorney's site and what AI platforms report seeing there.

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The 350-site New York dataset moved the research from the site level to the page level. Tim examined which pages carry meaningful code, whether that code reinforces each page's purpose and the relationships it describes, and whether certain types of pages contribute more to how AI understands and discovers a firm.

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As WAVI expands into additional states, Tim's research continues to move beyond asking whether the code exists. He now examines its depth, focus, and efficiency, how accessible a site is to AI systems, and how the code works together with a website's content and structure to help AI accurately understand, connect, and potentially recommend a law firm.

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Tim is also Chief Operating Officer of Your AI Wizards, WAVI's partner company, which provides technical structure for business websites. When a WAVI assessment produces a strategic roadmap, Tim takes that roadmap and implements its technical elements: the code, structure, and settings that make a website readable to AI. The research identifies what is missing. The implementation builds it.