Today Fastcase and Matterhorn Transactions are announcing an alliance that will make M&A deal data and analytics available in Fastcase’s legal news platform. Law Street Media. The deal terms and data will be added to its existing litigation-focused coverage of technology, agriculture, and health law.
According to the press release: “Matterhorn proprietary data analysis provides legal professionals with unparalleled capabilities to search for and compare the market terms of mergers and acquisitions, capital markets, and other transactions. The company provides transactional attorneys both
consolidated information on market terms as well as detailed legal language used for specific deal provisions, based on underlying legal agreements and financial disclosures. Matterhorn enables its clients to know precisely the frequency, form, and language of transaction terms and provisions by tying each deal term to the actual documentation.”
It is axiomatic that lawyers and law firms are hungry for data and analysis- so this is a smart alliance. I am not personally familiar with the Matterhorn product. But the description above sounds similar to the content available in Lexis Intelligize, Thomson Reuters “Westlaw Business” (formerly GSI) and Bloomberg Law. I have no doubt some brilliant research librarian will undertake an analysis of each platform to tease apart the unique and common content and features across these platforms.
The integration of analytics with news has been a growing trend for the past two years. In addition to Fastcase— American Lawyer Media, Lexis Law360 and Bloomberg have all been pushing data into their news offerings.
Growth without Greed I am an agnostic on how these products compare at this point. Everyone is welcome to the join the analytics party – legal consumers win as the quality and scope of products expand. But I do have to cheer for the addition of sophisticated M&A data to products available through Fastcase – which has taken a unique “growth without greed” approach to transforming the legal
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