Mayer Brown's prototyping and delivery journey with Fliplet

Adam frames Mayer Brown's innovation work around a simple principle: solve the right problem first.

In practice, that means avoiding the common trap of buying or building technology before the team is clear on the use case. Inside a global, risk-aware law firm, that challenge shows up in a few ways:

• new ideas need to move fast, but still look polished enough for lawyer feedback
• long-form legal content has to be reworked into something more accessible and contextual
• new tools need a realistic maintenance model, not just a strong first launch
• innovation teams need to support many different departments, geographies, and requirements without starting from scratch every time

Adam describes Fliplet's biggest strength as versatility. Mayer Brown uses it to get high-fidelity prototypes in front of stakeholders quickly, which matters in an environment where feedback often focuses on how a tool looks as much as what it does.

He also highlights that the platform is easy to learn and train on, making it practical for an innovation team that needs to move quickly. One early example was a pro bono app built with UNHCR to help refugees navigate the Hong Kong school system. The team condensed a large Word document into a more mobile-friendly resource and then handed the tool over for continued use.

The same approach now supports broader self-service use cases, including trackers and tools that turn long legal updates into information users can search, slice, and review in their own time. For ongoing maintenance, Mayer Brown integrated SharePoint lists with Fliplet datasets so lawyers can update content in a familiar interface while changes flow through to the app.

The session points to several practical outcomes from Mayer Brown's use of Fliplet:

• the firm has launched six apps with Fliplet since first engaging in 2019
• those apps are used across multiple geographies and departments
• the team can move from idea to polished prototype quickly enough to support time-sensitive innovation work
• legal knowledge can be presented in a more usable format than static documents alone
• maintenance becomes more sustainable when lawyers can work through familiar SharePoint lists instead of another new system

Adam is positive about AI, but careful about how it should be introduced. In the session he points to useful applications such as search, analysis, summarization, prototype content generation, and more advanced comparison of legal drafting.

At the same time, he warns that AI can sound convincing even when it is wrong. Mayer Brown's approach is therefore to start small, test quickly, and build on proven success rather than forcing AI into every workflow. That fits neatly with the broader principle running through the whole case study: identify the real problem first, then use the right tool to solve it.