Fisher Phillips deploys CoCounsel as first law firm customer and leads GenAI adoption with multiple vendor partnerships

By late 2022, Fisher Phillips LLP recognized that generative AI would reshape legal service delivery, but the market was immature and the path forward unclear. As a large labor and employment firm, waiting for technology to stabilize was not a viable option — competitors who moved first would gain compounding advantages in attorney efficiency, research depth, and client value. The firm needed to engage attorneys with emerging tools immediately, without a proven vendor landscape to draw from, while ensuring any deployed technology met the security and confidentiality standards non-negotiable in legal practice. Inaction meant falling behind on a generational shift in how legal work gets done.

Fisher Phillips took an unconventional approach: rather than evaluating finished products, the firm became a founding design partner for multiple GenAI platforms built on large language models. It collaborated directly with Casetext during the development of CoCounsel — a legal-specific LLM tool — becoming the first law firm in the world to deploy it. The firm subsequently became the inaugural law firm customer of both Hebbia, which applies LLMs to document-intensive analysis, and TrellisAI, which targets litigation intelligence. Fisher Phillips also served as a design partner and first customer for Verbit's LegalVisor, a GenAI-powered transcription and legal workflow product. Across each engagement, the firm's attorneys worked directly with vendor teams to shape product behavior, test edge cases, and validate real-world performance before general release.

After more than two years of active GenAI deployment, Fisher Phillips has built one of the most mature multi-tool AI stacks in the legal industry. Attorneys across the firm use CoCounsel, Hebbia, TrellisAI, and LegalVisor for complementary workflows — from legal research and document review to litigation prep and transcription. The firm reports meaningfully faster and higher-quality work product delivery, though specific throughput or time-savings metrics were not disclosed publicly. Key qualitative outcomes include:

• Broad attorney adoption driven by early exposure and hands-on familiarity with each tool
• Influence over product direction through design-partner status across four vendors
• Reduced evaluation risk by participating in testing before general availability

• Being a design partner rather than a late-stage buyer gives firms disproportionate influence over product roadmaps and priority access to capabilities before competitors.
• A diversified GenAI stack across research, document analysis, litigation intelligence, and transcription covers more workflow surface area than any single platform can.
• Security and confidentiality compliance is a hard threshold — no amount of functionality justifies a vendor who cannot meet legal-industry data standards.
• Early, hands-on attorney engagement drives adoption; waiting for a "mature" market delays the internal learning curve that matters most.
• Firms that move at vendor speed gain credibility and access unavailable to passive buyers.