Run a free full auditTicket Cutter is a lawyer in Renton, WA. The firm fights Washington traffic tickets, DUIs, and criminal charges to help keep client records clean. Serving clients throughout Washington State, the firm utilizes strategic defense tactics and deep traffic law expertise to achieve high dismissal rates. The firm is highly rated, maintaining a 5.00 rating based on 1,215 reviews.
The firm is led by Joseph, a veteran of the United States Marine Corps who earned his law degree from Regent University Law School. He represents clients in Superior, District, and Municipal Courts around the Pacific Northwest. The legal process begins with a simple intake interview to understand the facts of each case, after which the team develops a narrative and builds a sound defense. Ticket Cutter provides transparent pricing, prompt service, and a money-back guarantee on most cases if they do not beat or reduce a traffic ticket.
Located on SW 10th St, the office is situated near the Washington State Department of Transportation Maintenance Facility and King County Elections. It is a short drive from the IBEW NECA Seattle Puget Sound Electrical Apprenticeship school.
The firm maintains a well-optimized website that search engines read cleanly and is easily discoverable to AI-powered search tools.
With decades of legal experience and a track record of fighting over 65,000 violations, Ticket Cutter provides dedicated legal representation for those facing traffic and criminal charges in Renton.
BizScoreAI scanned the website ticketcutter.com on June 25, 2026. Ticket Cutter has a BizScore of 70 out of 100. The website audit behind the SEO score ran on October 28, 2026.
AI visibility scan by category: AI Discovery 10 of 25 points, Structured Data 11 of 25 points, Content Readiness 28 of 30 points, AI Trust Signals 13 of 20 points.
Website audit sub-scores (out of 100): On-Page 79, Technical 91, Performance 89, Content 70.
Strengths: 8 checks passed. AI Crawler Access, AI Content Blocking, Organization Schema, Rich Schema Types, Q&A Content, AI-Parseable Headings, About/Team Page, XML Sitemap.
Areas to improve: 5 checks. llms.txt (failed), FAQPage Schema (failed), Speakable Schema (warning), Meta Description (warning), Author Signals (warning).
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