With Latest Additions, Lex Machina’s Legal Analytics Now Cover Every Federal District Civil Case

The litigation analytics firm Lex Machina has accomplished what it describes as a milestone growth of its information set of courtroom paperwork, including one other 500,000 federal district courtroom circumstances in order that it now has full protection of just about each civil case filed in federal district courts wherever in america.

The one civil circumstances it doesn’t embrace are prisoner petitions, which the corporate deemed not commercially related to its buyer base of legislation corporations and companies.

Till now, Lex Machina’s analytics have been centered on particular, main observe areas (at the moment 22 observe areas), and in its assortment and tagging of federal circumstances, it prioritized these observe areas. However with this newest growth, it has added the remaining 15% of district courtroom circumstances that didn’t match underneath a type of main observe areas.

“It is a fairly huge milestone by way of our total growth to cowl all civil litigation in federal district courtroom,” Carla Rydholm, normal supervisor and head of product at Lex Machina, advised me throughout a briefing this week. “Now we have now the flexibility to offer protection of each commercially related case.”

Whereas analytics by observe space stay the first focus of the platform, it now permits customers to match analytics throughout all federal circumstances, with out having to pick a case sort, after which drill down into extra granular information primarily based on courts, judges, counsel, events, and different filters.

Along with tagging circumstances primarily based on the 22 main observe areas, Lex Machina has now added tagging for one more 5 classes: admiralty/maritime, forfeiture/penalty, FOIA, immigration, and RICO.

Circumstances that don’t match inside any of those observe areas will likely be tagged as uncategorized, however customers will be capable of view the federal nature-of-suit code that was utilized to the unique submitting.

The place comparisons beforehand may very well be executed solely inside a observe space, they will now be executed throughout all circumstances.

This enhanced information set can also be accessible by means of the litigation analytics function of the authorized analysis platform Lexis+. Lex Machina is owned by LexisNexis.

The importance of that is that customers will get a really full image of federal courtroom analytics that embody not simply the 85% of circumstances beforehand lined however 100% of circumstances. That implies that when they’re exploring analytics for components equivalent to outcomes, damages, or cures, they’re getting the great view.

Key to Lex Machina’s analytics is how the corporate processes the uncooked case information after assortment — cleansing, tagging, coding and enhancing the information in order that it may be analyzed throughout a variety of parameters.

It permits customers to discover analytics primarily based on entities — judges, courts, legislation corporations, attorneys and events — and by outcomes — case resolutions, timing, damages, findings, cures and movement metrics.

Lex Machina developed out of a analysis mission launched in 2006 at Stanford Legislation College to gather and analyze information on patent circumstances. Since its acquisition by LexisNexis in 2015, it has steadily added extra observe areas, expanded into state courts, added analytics for federal courts of enchantment, and added Litigation Footprint for visualizing litigation.

With this newest traunch of circumstances, Lex Machina can now present these outcome-driven analytics, together with damages and case resolutions, for over 3.7 million federal district civil circumstances, primarily based on information from 17.5 million paperwork.

Together with this launch, Lex Machina has up to date sure instruments and added new capabilities that it says will enable for extra depth, element, and nuance. A brand new “Customized Columns” function streamlines the creation, sharing, and export of personalized stories, it says, whereas a brand new “Findings Search” function permits customers to look findings inside a particular observe space for findings which might be most related to their very own case and observe.