Stinson LLP

Stinson LLP, a national law firm operating across 16 offices, faced mounting pressure to improve attorney productivity while delivering measurable value to clients on complex, data-intensive matters. Legal work involving contract analysis, due diligence, and deposition review requires processing large volumes of unstructured text — work that is time-consuming when done manually and difficult to scale across a national platform. Without a purpose-built solution, attorneys risked slower turnaround times, higher client costs, and diminished competitiveness as peer firms began adopting AI tools. The firm needed a vetted, legally appropriate platform that could handle high-volume document tasks without compromising professional judgment.

Stinson LLP adopted Harvey, an AI platform built specifically for legal and professional services, following a structured pilot program involving approximately 100 attorneys across all practice divisions. The phased rollout allowed the firm to evaluate Harvey's large language model capabilities — including contract analysis, due diligence support, and summarization of lengthy testimony and deposition records — before committing to firmwide deployment. A key selection criterion was client alignment: Harvey had already been adopted by several of Stinson's key clients, enabling shared workflows and reducing friction in collaborative matters. Prior to use, all attorneys received extensive training on the platform. The firm established clear protocols requiring attorneys to maintain control over all inputs, review all AI-generated outputs, and apply professional judgment to every work product.

The firmwide rollout followed a successful pilot and was covered by both the Kansas City Business Journal and Minnesota Lawyer, reflecting industry recognition of the firm's strategic move. While specific efficiency metrics were not publicly disclosed, Managing Partner Allison Murdock cited concrete use cases where Harvey delivers impact:

• Contract analysis: faster review of complex agreements across practice groups
• Due diligence: accelerated processing of large document sets in transactional matters
• Deposition and testimony summarization: reduced time spent synthesizing extensive records

The firm expects the platform to create meaningful efficiency gains, improve attorney productivity, and enhance the value clients receive across Stinson's national footprint.

• A phased pilot across ~100 attorneys before firmwide rollout reduces adoption risk and surfaces workflow issues before they scale.
• Selecting an AI vendor already used by key clients creates natural alignment and enables smoother collaboration on shared matters.
• Purpose-built legal AI differs from general-purpose LLMs — the tool's domain specificity was a stated reason for Stinson's vendor selection.
• Responsible deployment requires structured attorney training and explicit protocols for reviewing all AI outputs with professional judgment.
• Firmwide AI adoption is increasingly a competitive signal — dual trade press coverage suggests the market treats it as a differentiator, not just an operational decision.