Bay Area, California
I practice at the intersection of IP law and legal AI — six years of patent litigation at AmLaw IP firms, hands-on AI advisory work from inside a firm AI committee, and, most recently, building LexAura, an AI-powered trademark clearance platform designed to make sophisticated analysis faster, more consistent, and available earlier in the matter lifecycle.
J.D., Santa Clara University School of Law · CA Bar #325874
Ph.D., Mechanical Engineering, Florida A&M University
Pulse tracks policy announcements, enforcement actions, and reported changes across the major legal AI vendors, cross-referenced against primary sources with confidence labels. The record is public and stays checkable.
My practice background is IP litigation across six years at AmLaw firms — software, wireless communications, optics, mechanical devices, and biomedical systems. In parallel, I became the attorney people called when they needed something actually done with AI: building and cleaning workflows, batch-automating document processing, assessing and prototyping tools with firm IT teams, and teaching attorneys and paralegals (at firms and in corporate legal departments) how to use specific tools for specific types of work, and when not to.
Building LexAura put that advisory work into product form. The platform automates the highest-leverage steps of trademark clearance — conflict detection, similarity scoring, risk assessment — by connecting a governed knowledge repository to an AI retrieval layer. A fintech General Counsel credited it with surfacing an approach to a cease-and-desist response his team had not considered.
Engineer the knowledge, then connect the AI. The LexAura build required designing a taxonomy, metadata schema, and quality-gate pipeline for a proprietary IP intelligence repository before a single model was involved. In my experience, that sequencing — governing the knowledge first, retrieval second — is what separates AI tools attorneys trust from ones they abandon after a pilot.
Keep the record checkable. Claims about what AI systems do, and what regulators are doing about it, hold up better when the underlying evidence is something anyone can examine. Pulse is that standard applied to legal AI specifically.