Posted on September 8, 2020 by Joseph Lamport
If you want to understand how advanced technology is driving transformational change in the legal market, instead of looking at how law firms and lawyers operate today, it is far more instructive to consider the legal tech companies that are building next generation tools and products based on AI and machine learning. These companies are themselves the first and best proponents for a new way of doing business, illustrative of the incredible things that can be accomplished with state-of-the-art technology. READ MORE
Posted on March 9, 2020 by Joseph Lamport
When it comes to forecasting the future effects of technology, there is a well-recognized maxim known as Amara’s law, named after the technologist Roy Amara. In his words, “[W]e tend to overestimate the effect of a technology in the short run and underestimate the effect in the long run.” The mind, in other words, quickly leaps to conclusions without regard for the often lugubrious pace of the tech adoption cycle. But taking stock of the rapid of development of the next generation of AI-powered tools that are capable of legal reasoning and outcome prediction, it is becoming increasingly apparent that the business of litigation is poised for a radical transformation through the application of these new technologies.
Posted on March 2, 2020 by Joseph Lamport
AI really does have the potential to change almost everything we know or think we know about the business of litigation. That may be the real significance of the latest announcement from Casetext, one of the companies that is at the forefront of transforming the legal market with AI-assisted technology. This AI-powered revolution may not be televised but it is nonetheless now available on your desktop or even via the screen of your handheld device.
Posted on January 29, 2020 by Joseph Lamport
One of the major obstacles to adoption of AI/ML tools is just how labor intensive these projects can be, at least at the outset, due to the need to undertake adequate system training. AI/ML systems rarely work smoothly out of the box, especially not when it comes to applications in the legal market, which entail processing large amounts of unstructured data. That's why service providers may be key to successful AI/ML project implementation.