In news that is perhaps an indicator of the legal industry’s interest in generative AI, the document management company NetDocuments said today that its launch of PatternBuilder MAX AI was its “most successful product launch by a factor of 10.”
From the product’s initial launch in October to early last month, the product grew to some 13,000 users in law firms, corporate legal departments, and government, spanning the U.S., Canada, Europe, the Middle East, Africa, and the Asia-Pacific region.
First released in a limited launch last July, PatternBuilder MAX is a generative AI-driven version of the company’s PatternBuilder document assembly product, designed to enable customers to create custom generative AI automations tailored to the needs of their specific practices.
In addition to allowing customers to build their own apps, it comes with nine “out-of-the-box” apps that can be used as-is or modified. These nine apps address common use cases including document summarization, drafting, extraction, matter timeline creation, and running contract playbooks.
PatternBuild MAX is built on the Microsoft Azure OpenAI Service, and NetDocuments recently GPT-4 Turbo as an available AI model for customers in the U.S., offering a 128,000 token context window (or about 300 double-spaced pages) and faster output speeds.
Since October, NetDocuments says, customers have built over 500 PatternBuilder MAX apps and entered over 18,000 prompts. In one specific instance, a law firm user built a custom app, and, within the next five weeks, ran it over 60 times.
“The overall sentiment from NetDocuments customers has and continues to be extremely positive as it relates to our overall approach to AI.” said Dan Hauck, NetDocuments’ chief product officer. “They are pleased with the thoughtfulness and relevancy of how AI has been applied within the platform, our roadmap strategy, and how we are delivering innovation in a way that’s enabling them to deliver even better work product and business outcomes on behalf of their own customers and clients.”
