Resiliency was a key factor in 2008, and it will be in 2021 as well. Jae Um gives us ten questions we need to ask ourselves on how resilient our law firms are as we come out of COVID. Texas Lawbook’s Brooks Igo is hosting an upcoming webinar on May 11th which tackles that very topic.
We’d all like to know what “ The Future of the Law Firm Office” is going to be after we begin entering a post-pandemic workplace. Listen on mobile platforms: Apple Podcasts | Overcast | Spotify Information Inspirations The WeSearch tool is available to test out. This will be an issue that law librarians and academics may need to dive into in the not-so-distant future.
When it comes to this tool, the neural net and vectors work in ways that can be explained on a basic level, but after the system is trained, it begins functioning in a way that can’t be explained. While the methodology of how the system works is known by the vendor, just like the formula for Coke, it isn’t something they are willing to share. Traditionally, when vendors provide search tools with AI and Natural Language Processing (NLP), there are Intellectual Property issues of the “Black Box” of the tool. Issues such as acceptance of cloud-based utilities, what can and what cannot be accessed by the neural net tool, and perhaps the biggest issue we discuss, and that is the black box issue. While this new method of research opens many potential usages (and we brainstorm a few in the interview), but it also opens up some issues that aren’t unique to the legal industry, but are common in this industry. The Neural Net techniques developed by the likes of Jacob Devlin, Google Researcher, and BERT author, allows the system to train itself, and the folks at CaseText have turned it loose to learn American case law. Unlike the Artificial Intelligence tools many of us in the legal industry currently use, there’s no need to spend weeks or months training the system to understand the documents. This completely unique method of indexing texts into what Arredondo calls a “sublimely complex, 768-dimensional vector space” creates a truly beautiful, and useful method of searching not just the words in the documents, but the concepts and meanings of those documents. We hope that you like your Geek in Review with a little extra geekiness this week because we dive in with CaseText’s Chief Product Officer Pablo Arredondo on their innovative search tool, WeSearch.
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