Lex Machina expands Legal Analytics into antitrust law

Lex Machina has expanded its Legal Analytics platform into antitrust law, following its recent expansion into securities law in July.
Prior to its acquisition by LexisNexis in November 2015, Lex Machina, which provides deep analysis of judgments, damages, judges’ performance and legal representative results, focused purely on intellectual property law. However, it has plans to cover every federal practice area, including commercial, product liability, employment and commercial bankruptcy.
Antitrust litigators will now be able to use Legal Analytics to make data-driven decisions based on more than 7,800 antitrust cases active since 2009, which have so far resulted in more than $20bn in damages awarded.
Lex Machina’s initial data shows that California antitrust firm Cotchett Pitre & McCarthy has represented the most plaintiffs (255 cases), followed by Michigan-headquartered Miller Canfield (248 cases), and Philadelphia class action firm Spector Roseman Kodroff & Willis (236 cases). The firm with the most number of defendant cases, according to Lex Machina’s findings, is Latham & Watkins (340 cases), followed by Gibson Dunn & Crutcher (334 cases), and Freshfields Bruckhaus Deringer (294 cases).
Judge Marianne Battani of the Eastern District of Michigan has handled the most antitrust cases (393 cases) since 2009 – more than twice as much as the next leading judge.
“In antitrust litigation, where potentially billions of dollars and companies’ entire futures could be at stake, Legal Analytics for Antitrust helps law firms, in-house counsel and government attorneys develop winning case strategies and data-driven arguments based on the outcomes of thousands of prior cases,” said Josh Becker, CEO of Lex Machina. “The power of Legal Analytics truly becomes apparent in multidistrict litigation where unraveling some of the more complex cases could encumber attorneys for months, instead of finding the desired insights in minutes.”

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