ZERO, a provider of productivity automation solutions primarily for law firms, today announced the launch of Apollo. Apollo is a software product that automatically captures lawyers’ time spent on billable work on any desktop device. According to the ZERO press release, it seamlessly integrates it into their existing billing platform. ZERO claims, “Apollo is
E-discovery providers are primed to make the shift from providing products designed for e-discovery to providing products for much more complex document analytics.
Casepoint is typically thought of as an e-discovery company, although it describes itself as a “leader in cloud-based legal technology solutions.” It recently announced a new iteration to its built-in AI and advanced analytics technology, called CaseAssist.
I have talked before about legal tech products that either try to do too much or are so nonintuitive that lawyers who bill by the hour won’t use them. One problem often begets the other: in attempting to do too much, a product often becomes too cumbersome to learn and use. I have found examples though of legal tech developers that get it right. Casepoint, for example, which I have written about before. More recently, LexisNexis’ Product Liability Navigator has found the sweet spot as well.…
Continue Reading Trellis: The Google of State Court Analytics?
I recently wrote and published a piece on my blog about the LexisNexis Product Navigator, an analytical program I thought was very impressive.
After I published that post, I learned more about the team at LexisNexis that put it together. The product was designed and built by the User Experience (UX) Group at LexisNexis and Michael Oberle, a Senior UX Designer II, along with the Product and Development Team. The UX team \includes UX Designers, UX researchers, and Visual and Product Designers.
Michael and I exchanged several messages about the product, which was his first while with LexisNexis. According to Oberle, the UX team, “used elements from Design Thinking, Design Sprints, Lean Business Canvas, SVPG training to make a new product in a new way. We started with subject matter experts that had experience in the industry and kept testing and refining with our potential users. In one stage, we let the users design their own dashboard. We continually refined the top tasks and the jobs to be done.”
In my former life as a defense product liability lawyer, I was often called on by clients to evaluate the exposure and risk of a case. Or I might need to determine whether and how many similar cases there might be out there to better assess risk. Or I might want to know what experts to vet and hire. Obtaining this information wasn’t easy, however. It took time and patience and even then was not always complete. You had to look at a variety of sources in different places. Often the results allowed you to make little more than a wild ass guess.
That’s why the LexisNexis Product Liability Navigator, announced today, looks so promising. As most of you know, LexisNexis is a global provider of information and analytics. The Product Liability Navigator is the second Navigator offered by LexisNexis. The first being the Lexis Medical Navigator®.
When I was a young lawyer learning how to try cases, s senior partner would always tell me: start every case by developing a chronology. What he meant was you can always better understand the case and see things you might otherwise miss if you look at the timing of the underlying facts.
My mentor’s advice was sound, at least in simple cases. The problem was that, especially in complicated cases, the chronology or timeline–which in those days was always done on paper—quickly became so long and complicated. As the case progressed, it tended to collapse of its own weight. To make it usable, you had to either put everything on the timeline or risk putting too little on it. Either way, you risked making it incomprehensible or irrelevant. Trying to use it in the courtroom (or anyplace else for that matter) was difficult. As a result, I gradually moved away from and forgot about the value of timelines.
The highest and best use of AI is where AI is combined with human intelligence to get the best of both worlds. This lets AI do what it does best: search through a large number of data points, find things like hidden patterns, and “learn” from previous applications. AI frees humans to do what they do best: use experience, knowledge, and insight to see nuanced connections, and use lateral and system thinking.…
Continue Reading BlackBoiler Maximizes AI/Human Interaction For Contract Negotiations
Technology can solve many practical problems we face as lawyers if we only will think about the problem and apply technology in innovative ways. This was recently brought home to me in a serendipitous conversation with a lawyer and an expert.
For many years, I was a mass tort lawyer, often defending cases involving a single incident with multiple injuries, property damage and fatalities. A catastrophic fire. A deadly building collapse. A massive explosion.
In most cases, the entities who end up being defendants in the resulting litigation rarely know of their involvement or potential involvement until months or even years after the event occurs. The practical result: those entities do not have the opportunity to have their experts inspect the scene and do a critical scene evaluation while the evidence is fresh and the least disturbed.…
Continue Reading Technology Solves Mass Tort Dilemma
I recently had the opportunity to try out and use an IPEVO VZ-X Wireless, HDMI & USB 8MP Document Camera. Document cameras are the overhead projectors of today. They enable you to show on your computer screen or through a projector a real-time image of whatever on which you focus the camera. With apps, you can then generally annotate the image, draw on it, or even add text.…
Continue Reading There’s Still a Place for Document Review Cameras
The giant legal services provider, LexisNexis and Knowable, one of the leaders in enterprise contract intelligence, today announced that they have entered into an joint venture agreement. Knowable was spun off from Axiom Global Inc. in February 2019. Mark Harris and Alec Guettel, Axiom’s co-founders, will lead Knowable as CEO and CFO respectively.
Knowable provides machine-learning enabled contract data analytics and related contract intelligence solutions. Knowable’s products allow their corporate clients to peer deeply into the contract relationships and gain greater understandings of their business activities, risks, and values. Knowable essentially converts the massive amount of non-structured data in its clients’ contracts that are often in non searchable PDF format and which frequently contain arcane and non standardized prose. By converting this language into structured data, Knowable helps its clients understand the vast amount of information in their contracts, providing a global view of risks, obligations, entitlements and compliance. It can also enlighten exposures created by contracts as well as businesses opportunities, says Harris.