Casetab was started to build a best-in-class case management system to save criminal justice practitioners’ time. We've spoken to hundreds clerks, judges, attorneys, social workers, and other justice organization's staffers to hear about their needs for their next case management system. Over the next few years we are using state of the art work in data analysis and design to help solve problems in data management and criminal justice.
|Headquarters||New York City|
|Tags||machine learning, artificial intelligence, data visualization, case management, expert systems, public defenders, prosecutors, courts, justice organizations, decentralization, foss|
Fastcase is a legal research software company based in Washington, D.C. Quietly it has been building market share in the legal research market for lawyers, with more than 800,000 subscribers. Fastcase's legal research service is poised to make some major changes in the way that lawyers access the law. It sorts results algorithmically, like Google, bringing the best results to the top. But more than that, it incorporates citation analysis right into the results, so you can see which cases are most cited. The service also allows customized results -- users can sort results a dozen ways to emphasize what's important to them. The service is also the first to move legal research beyond the tired "search-results-document" paradigm, with cool data visualization tools that create beautiful, four-dimensional maps of search results. The most important cases jump off the pages in these maps -- just one of many interesting tools that make Fastcase a smarter alternative for legal research. This is a paradigm shift. In the past, the emphasis in legal research was on taxonomic or editorial tools that helped lawyers or legal researchers find the most important cases, kind of like Yahoo's categories helped people find pages on the early Web. Fastcase allows users to organize the law with search tools and intelligent algorithms, much like Google did in the Web. And like Google, once people use Fastcase's search tools, they find it difficult to go back to the old, pre-chewed editorial indexes of traditional legal research. In February of 2010, Fastcase introduced the first legal research application for the iPhone (www.fastcase.com/iPhone) -- which is free to download and free to use (free registration required). Apple has ranked the app as one of its featured "What's Hot" applications, and it has been one of the most downloaded free reference apps in iTunes. Fastcase released the first iPad app for legal research in July 2010 (www.fastcase.com/iPad). In 2011, it released the first legal research app for iPad, and in 2012, it released the first legal research app for Android. Most recently, Fastcase has launched its AI Sandbox, which offers corporate legal departments, law firms, and law schools a private environment in which they can mash up their data with public legal data sets using IBM Watson Developer Cloud APIs, or tools from Neota Logic, Lex Predict, or Contract Standards. More information and a free trial are available at www.fastcase.com, or on the Fastcase Legal Research Blog at www.fastcase.com/blog or on Twitter @Fastcase.legal research, legal analytics, artificial intelligence
A.I. document drafting assistant for lawyers.document generation, machine learning, artificial intelligence
Vizlegal converts fragmented legal information into structured data. On top of this data we have built an application designed for legal practitioners, with a particular focus on sole practitioners and small firms. Our legal information includes judgments of courts, court rules, practice directions, case filing/litigation information and quasi-judicial decisions.ai, machine learning, analytics
Eigen is a research-led artificial intelligence company based in London and New York. Our mission is to help individuals and organizations make the right decisions, and we do this by unlocking the value of their qualitative data. Eigen automates the extraction and classification of information from documents. Our simple, flexible Natural Language Processing (NLP) technology accurately extracts information from diverse types of documents at scale and can be integrated into our clients’ workflows. We use state-of-the-art machine learning algorithms to recognize patterns in text and give accurate answers to unique questions. This enables our clients to use data in new ways to make the right business decisions: driving down costs, finding opportunities, calculating risks, and meeting regulatory requirements. Founded in 2014, our clients include some of the most respected names in finance, law, and professional services. As a research-led company, we translate the latest methodologies from applied physics, mathematics and machine learning into the technology that underpins our product.contracts, machine learning, document automation
Precisely's AI-powered contract automation platform helps companies streamline and take control of their contracts. Automated contract creation, document automation, electronic signatures, contract approval automation, digital archiving and smart monitoring of contracts - all in one place in the cloud.approval automation, contract approvals, document management, machine learning, artificial intelligence, electronic signatures, document automation, contract automation, contract management