National personal injury firm combining in-house attorneys and partner network
TopDog Law runs a tech-enabled personal injury practice with a hybrid model of direct representation and partner-firm referrals. Its stack pairs legal case tools (Filevine, Clio) with a custom TypeScript/NestJS/Next.js engineering layer and paid-social ad pixels, while signals show it replacing Salesforce and Filevine and adopting Braze. That points to a rebuilt intake-to-settlement system and lifecycle messaging. Legal-dominated, accelerating hiring tracks new-state expansion.
Notable leadership hires: Case Manager Lead, Treasury Director, Chief of Staff
TopDog Law is a privately held personal injury law firm headquartered in Scottsdale, Arizona, founded in 2019 and employing 201–500 people. It serves individual injury claimants nationwide, handling many cases through its own attorneys and referring others to a selective partner-firm network when jurisdiction or specialization requires. An affiliated entity is headquartered in Florida and also operates in Arkansas. The firm hires in the United States and Guatemala across legal, operations, finance, support and data functions.
TopDog Law uses Salesforce, Filevine, Clio, Genesys Cloud, NetSuite, BigQuery and Checkr, plus a custom stack of TypeScript, React, Next.js, NestJS, Node.js, PostgreSQL, Redis and Docker. It is adopting Braze.
Yes. Legal is by far TopDog Law's largest hiring area, with hiring accelerating and weighted toward senior and lead roles, alongside operations, finance and data positions in the United States and Guatemala.
TopDog Law is headquartered in Scottsdale, Arizona. An affiliated entity is based in Florida and also operates in Arkansas.
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TopDog Law's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.