Implementing Legal AI: Keys to a Successful Launch

According to an Artificial Lawyer article by Molly Tailor, corporate departments adopting legal artificial intelligence may report mixed or disappointing results. In many cases, dissatisfaction can be avoided with a more deliberate and strategic implementation. This article discusses how success in implementing legal AI is based on five critical implementation strategies. 

A successful implementation depends on more than just selecting a reliable tool. Organizations must define a clear objective rather than adopting AI for its own sake. For example, identifying specific bottlenecks, such as time-consuming, repetitive work, makes it easier to frame the technology as a problem solver. Additionally, internal champions who visibly use and support the tool can encourage broader adoption.

Ease of integration is another crucial strategy. Tools that operate within familiar environments, such as Microsoft Word, have a greater chance of being adopted than those requiring new platforms. Making adoption as frictionless as possible sets the stage for a smoother implementation.

Moreover, treating implementation as a change management project is essential. Early involvement of IT, compliance, and senior leadership creates alignment with business goals. Preparing resources, documentation, and communication plans helps earn buy-in and reduces resistance. Clear success metrics must also be established early. Whether based on usage rates, outcomes, or user satisfaction, agreed-upon benchmarks provide clarity and guide ongoing adjustments.

Top-down support is vital to implementing legal AI. When senior professionals lead by example in using legal AI, cultural adoption becomes more likely. AI in legal can drive value, but only if introduced with purpose, planning, and strong leadership.