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Fastcase Ignites Integration with Docket Alarm

Fast Expansion into 11 State Dockets, Integrated Caselaw

Washington, DC (March 7, 2018) – Less than eight weeks after being acquired by Fastcase, Docket Alarm is already delivering its customers state court dockets, Fastcase caselaw integration, and additional resources to help law firms visualize and analyze litigation strategy for clients.


Docket Alarm has expanded its state court dockets to include courts in California, Connecticut, Minnesota, New Mexico, New York, Oregon, Pennsylvania, South Carolina, Texas, Washington, and Wyoming. Long considered the “holy grail” of docket services, state docket searching and alerting has been an early investment by the combined Fastcase-Docket Alarm team.


In addition, Docket Alarm users are now able to seamlessly move from court dockets, briefs, and pleadings that cite case law to view the cases from Fastcase without a separate login. Lawyers can immediately share the cited cases with courts, clients, paralegals, and anyone they choose.  By integrating case law with Docket Alarm’s library of more than 200 million litigation briefs, motions, pleadings, and opinions, Fastcase and Docket Alarm are combining two of the most innovative legal research libraries in the world.


Fastcase is expanding the Docket Alarm team to support rapid development and product innovation. Michael Sander is at the helm as Founder and Managing Director of Docket Alarm and Director of Fastcase Analytics. Joining the team is Product Manager Molly Lindblom, who brings more than 18 years of product management and marketing leadership with companies such as LexisNexis, Bloomberg, and Wanted Analytics. Lindblom led the creation of the litigation and client development analytics categories while at LexisNexis CourtLink. David Nayer, who has a background in law and technology, joined the team as the reference attorney and trainer, and Liz Morgan came onboard as a sales executive, bringing more than 20 years of experience in legal publishing and legal analytics sales with Lex Machina and Wolters Kluwer.


“It’s exciting to see the momentum we’ve created by putting the strength and capabilities of the Fastcase team behind the latest developments in Docket Alarm,” said Sander. “In a matter of weeks, we’ve formally launched state court dockets and a have linked millions of citations across opinions, briefs, and complaints to Fastcase, a first-of-its-kind product – and this is only the first step in our integration.”


“This is not your grandfather’s acquisition,” said Fastcase CEO Ed Walters. “This is a combination of two disruptors, as evidenced by the momentum of our first eight weeks together. Our team loves Docket Alarm, and we’re going to be very aggressive in building its libraries and analytics, and integrating them into Fastcase to provide our customers and even better experience,” he added.


“We’re building strength on strength, and together we’re going to drive the next generation of legal analytics,” said Sander.


Docket Alarm, founded by intellectual property litigator Michael Sander, is a disruptor in the legal analytics market. The nation’s largest law firms, Fortune 500 companies, and market research and consulting firms rely on Docket Alarm to search, track, and analyze judicial trends in lawsuits and bankruptcies in federal, state, and administrative courts. Its insight into the ITC, PTAB, and TTAB give intellectual property litigators unparalleled visibility.


Leveraging both a library of hundreds of millions of litigation records and its machine learning and natural language processing tools, Docket Alarm has quickly become a preferred analytics tool for identifying judicial trends and predicting litigation outcomes. Docket Alarm provides analytical profiles on judges, parties, law firms, and attorneys, identifying win rates, time to decision, and even measuring gender diversity at law firms. Unique for the industry, Docket Alarm’s API gives other firms and companies the ability to leverage its existing database of PACER cases, alerting capabilities, and analysis in bulk.

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