Lex Machina Gives ANDA Litigators A New Competitive Edge

MENLO PARK, CA, September 23, 2014 – Lex Machina, creator of Legal Analytics®, a new category of legal technology, announced today the release of Legal Analytics for ANDA Litigation. This new capability enables Abbreviated New Drug Application (ANDA) pharma litigators to leverage the company’s innovative technology to make data-driven decisions about Hatch-Waxman case strategy and tactics. Lex Machina will show how in-house and law firm counsel use these new capabilities in a webcast on September 30.

“Providing ANDA attorneys with analytics specific to their practice area is another step forward in helping lawyers across the spectrum make data-driven decisions,” said Josh Becker, CEO. “As the number of ANDA cases increases, along with litigation costs, the ability to gain a competitive edge is more crucial than ever.”

Lex Machina’s unique platform includes hundreds of thousands of docket entries and documents from more than 2,500 ANDA cases filed since January 1, 2000. In-house counsel and law firm attorneys, and their teams, can now review ANDA-specific case lists for a particular district, judge, party, law firm, attorney, or patent.

As customers in other IP practice areas have discovered, crunching Legal Analytics data will prove invaluable in helping ANDA attorneys prevail in an increasingly competitive environment. The data helps corporate users select appropriate outside counsel; law firm users pitch new clients and matters; and all users make informed decisions about where to file (or whether to seek transfer), pleadings, discovery and dispositive motions, claim construction, expert testimony and trial.

Pharma companies can now benchmark elements of their ANDA case strategy against those employed by their peers, whether brand or generic. Total case volumes, venues, settlement propensities, merits outcomes and other measures of strategic behavior can be quantified across the ANDA case set.

“I have been involved in ANDA litigation since 1990, when we were flying by the seats of our pants as to what strategies and tactics might work best in front of a specific judge,” said Steven More, Partner, Kelley Drye. “Then, we could only dream of today’s reality made possible by Lex Machina’s ANDA tag.”

Lex Machina’s ANDA case tag identifies patent infringement cases prompted by the filing of an ANDA or paper NDA by a prospective generic manufacturer. It is based on pleadings documents and docket entry text referencing relevant keywords, plaintiff and defendant entity data in cases where plaintiff is a brand manufacturer or defendant is a generic manufacturer, as well as declaratory judgment cases where the roles are reversed

“Lex Machina’s ANDA analytics allow me to gauge where the “best bang” is for my clients, in terms of initial pleadings, motion practice and arguments, before and during trial,” added Steven More. “It gives me unparalleled insight into any judge, what has worked, and what has not worked, in regard to ANDA cases, and allows me to deeply understand the past behavior of opposing parties and counsel.”

About Lex Machina
Lex Machina is defining Legal Analytics, a new category of legal technology that revolutionizes how companies and law firms compete in the business and practice of law. Delivered as Software-as a-Service, Lex Machina creates structured data sets covering districts, judges, law firms, lawyers, parties, and patents, out of millions of pages of legal information. Legal Analytics allows law firms and companies, for the first time ever, to predict the behaviors and outcomes that different legal strategies will produce, enabling them to win cases and close business.

Lex Machina is used by companies such as Microsoft, Google, and eBay, and law firms like Wilson Sonsini, Fish & Richardson, and Fenwick & West. The company was created by experts at Stanford’s Computer Science Department and Law School. In 2014, Lex Machina was named one of the “Best New Legal Services” by readers of The Recorder, American Lawyer Media’s San Francisco newspaper.