Creates a lasting URL so links to your cited materials in briefs and articles will always work. Perma.cc was developed by the Harvard Law School Library to combat link rot, a pervasive issue where links to online sources become inaccessible as the internet changes. All clinical faculty already have accounts and can add students or fellows who could also use Perma.cc in their projects. Each clinic already has a folder, and each professor already has a sub folder, to organize your work.
With PowerNotes, you can gather information from any online resource. You highlight the relevant text, add any wanted annotations and PowerNotes will save the content to an online research project, similar to a folder on Westlaw or Lexis. But with PowerNotes, you can save content from any website or subscription databases such as Lexis, Westlaw, Bloomberg Law, HeinOnline, etc. in one place. Create and export annotated outlines. Register with your Northwestern email.
Sign up for your free Casetext account to access CARA, a program that will analyze your legal writing such as briefs for suggested case law. You could also upload opposing counsel's brief and have CARA analyze it for missing authorities.
"With this new feature, which Casetext is calling CARA Notifications, Casetext monitors all the PACER dockets in which an attorney has active matters. Whenever opposing counsel files a substantive document such as a brief or memorandum, Casetext retrieves the document, runs it through CARA, and delivers the report to the attorney."
Clio's 'Document Automation' function will create a document template using 'Merge Fields' from your Contacts and Matters. These Merge Fields automatically pull information from a Matter in Clio and put them into your documents.
"Draft Analyzer is powered by Exemplify™ – our patented software application that uses an algorithm to show you the developing consensus among drafters based on its analysis of each paragraph from virtually every agreement and organizational document filed as an EDGAR exhibit."
"Our system first categorizes each paragraph based on textual similarity and constructs one or more unified versions (“consensus templates”) for each identified cluster of similarly worded paragraphs. A consensus template reflects the most common language in the template's source documents. It also identifies and quantifies areas of linguistic variance and displays the most common alternative words or phrases used in its source paragraphs."