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A brand new instrument from the litigation analytics firm Lex Machina, which is owned by LexisNexis, permits attorneys to view visible maps of a celebration’s litigation historical past with the intention to assist illuminate the social gathering’s relationships and litigation developments which may not in any other case be apparent however that could possibly be a consider crafting a litigation technique or pitching new enterprise.
Known as Litigation Footprint, it offers a visible overview of the federal and state courts throughout the nation through which a celebration has litigated, derived from the litigation histories of events in over 27 million instances filed in 94 federal district courts and over 1,300 state courts in 34 states and the District of Columbia.
“This characteristic is de facto assembly the client request to offer the very broadest view of what’s taking place with litigation for events,” Carla Rydholm, head of product at Lex Machina, instructed me throughout an indication.
To create this new product, Lex Machina added greater than 18 million state courtroom data to the greater than 9 million federal and state courtroom data it already had. Most of those new data lack the enhancements and tagging of Lex Machina’s present courtroom knowledge — enhancements that allow the analytics platform for which the corporate is understood.
Nevertheless, the brand new data embody the knowledge mandatory for the Litigation Footprint, together with normalized names throughout courts and jurisdictions. Lex Machina says it now has 134 million normalized names — practically double what it had earlier than including these new instances. (Identify normalization ensures {that a} seek for a selected identify consists of all variations and aliases which will seem in courtroom data.)
Litigation Footprint consists of each these enhanced instances and these newly added fundamental instances. When outcomes embody enhanced instances, the consumer will have the ability to click on by to see the total Lex Machina analytics.
Profile knowledge and business codes for the social gathering, in addition to instances by social gathering and federal district courtroom instances by sort.
Methods to Use It
To view a celebration’s Litigation Footprint, the consumer merely goes to the party-search tab inside Lex Machina and selects a celebration to look, or a gaggle of events (akin to an organization and its subsidiaries).
Litigation Footprint then reveals two side-by-side arrays of grids, every roughly approximating the map of the U.S. One map is for federal courtroom instances and the opposite is for state courtroom instances. Every dice within the grid represents a state, and every is dynamically color-coded to point out the quantity of instances inside that state. The maps might present {that a} social gathering has loads of litigation in some jurisdictions and none in others.
The consumer can click on on any state to see an expanded checklist of the courts in that state and the numbers of instances for that social gathering in every. For any courtroom for which Lex Machina has enhanced knowledge, the courtroom identify reveals as a hyperlink and the consumer can click on by to the total analytics for the social gathering in that courtroom.
State courtroom filters to point out solely instances with a celebration within the automotive business.
The consumer additionally has the choice of operating a report back to see all of the issues involving that social gathering. The report, exported within the type of an Excel file, reveals all of the social gathering’s issues, together with case title, case ID, social gathering function, social gathering identify, date filed, and different data.
Though, as talked about, Litigation Footprint can search instances for a celebration group, it can not seek for overlap between events. In different phrases, if I wished to look to see the courts through which each Apple and Samsung had litigation, I must search every individually after which cross-reference the outcomes alone.
Federal courtroom instances filtered to point out solely these with an organization headquartered in Canada.
Litigation Footprint additionally permits searches to be filtered by business, NAICS code, worker depend, and headquarters nation.
Rydholm stated that is simply the primary model of this product and that consumer suggestions will drive its additional improvement.
“We’ll positively be searching for loads of consumer enter on what to do to maintain folks actually engaged, with a workflow that’s significant, and that … helps them get to the following section of pondering deeply, making selections, and doing one thing actionable.”
Product Use Circumstances
What’s the use case for Litigation Footprint, based on Rydholm, the purposes most cited by prospects thus far are:
- Enterprise improvement.
- Aggressive intelligence.
- Communication with shoppers and for authorized groups.
- Threat profiles and venue developments.
- State courtroom case docket administration.
- State courtroom case technique and civil process analysis.
She stated that some prospects discover the state courtroom knowledge significantly helpful, as there was a niche of their means to know what is occurring in these courts.
“Simply figuring out in regards to the instances at first blush is the place to begin — assembling essentially the most full mapping of what’s occurred earlier than after which deciding to have your crew dig in, relying on the venue, is the massive one,” she stated.
Increasing Protection
As I’ve famous earlier than, ever since LexisNexis acquired Lex Machina in 2015, the corporate has been increasing its courtroom analytics, each by increasing its federal courtroom analytics into new observe areas and by increasing its protection of state courts.
Since 2015, when Lex Machina coated 91,000 federal instances, it has steadily grown to the place, by the tip of 2023, it had practically 5 million state instances and greater than 4.1 million federal instances.
Litigation Footprint provides one other 18 million state instances to that complete. Though, as famous above, a lot of these are usually not enhanced for sturdy knowledge analytics, the corporate is consistently working to broaden the numbers of enhanced instances in its assortment, Rydholm stated.
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