Run a free full auditMichael Paul, Attorney at Law is a criminal defense lawyer in Queens, NY. Serving individuals and businesses throughout Queens, Jackson Heights, Woodside, and Elmhurst, the firm specializes in a wide array of legal matters, including violent crimes, drug crimes, theft, property crimes, identity theft, and computer crimes. The practice also provides dedicated representation for DWI, DUI, and various traffic offenses, as well as guidance regarding real estate transactions.
With over 25 years of experience working within the criminal justice system, Michael Paul brings a unique perspective to every case as a former assistant district attorney. This background allows the firm to anticipate the strategies used by the prosecution in both state and federal courts. The practice is dedicated to providing the personalized focus and resources of a large firm while maintaining a constant channel of communication with clients. The firm's approach emphasizes understanding the long-term collateral consequences of criminal charges, such as impacts on employment, professional licenses, and driving privileges.
The office is located on 90th Street Lower Level Left.
The firm is recognized for its tenacious commitment to protecting the constitutional rights of its clients and its availability to provide assistance whenever it is needed. Through years of dedicated service, the practice has built a reputation for aggressive defense and professional excellence.
Michael Paul, Attorney at Law provides steadfast advocacy and comprehensive legal support for those facing criminal challenges in Queens.
BizScoreAI scanned the website criminaldefenselawnyc.com on July 19, 2026. Michael Paul, Attorney at Law has a BizScore of 55 out of 100.
AI visibility scan by category: AI Discovery 10 of 25 points, Structured Data 8 of 25 points, Content Readiness 16 of 30 points, AI Trust Signals 12 of 20 points.
Website audit sub-scores (out of 100): On-Page 71, Technical 88, Performance 63, Content 78.
Strengths: 6 checks passed. AI Crawler Access, AI Content Blocking, Organization Schema, AI-Parseable Headings, XML Sitemap, Author Signals.
Areas to improve: 11 checks. llms.txt (failed), FAQPage Schema (failed), Google Business Profile Link (failed), LocalBusiness Schema (failed), Third-Party Review Links (failed), Q&A Content (failed), Speakable Schema (warning), Hyperlocal Targeting (warning), Local Multimedia (warning), Meta Description (warning), About/Team Page (warning).
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