Today, Courtroom Insight released its latest product – Matter Connector – aimed to deliver normalized court docket data from multiple sources to the Litera Foundation knowledge management platform and to other legal firm systems.
Matter Connector allows law firms to streamline their operations by centralizing docket data from prominent providers such as LexisNexis, Lex Machina, and vLex Docket Alarm via one unified connector.
The distinctive feature of this new product is its ability to extract data from varied docket providers, normalize it and refine it to be compatible with the guidelines set by the Standards Advancement for the Legal Industry Alliance (SALI).
In addition, law firms can associate and map data from Courtroom Insight’s individual profiles of judges, lawyers, specialists, and neutrals, further enhancing the utility of generated intelligence.
Companies can now secure Matter Connector as a standalone product, states Courtroom Insight’s CEO, Mark Torchiana. Upon purchase of an API from one of Courtroom Insight’s docket-data partners, Courtroom Insight assumes the responsibility to manage these credentials and add the service on top of the API feed.
The development of Matter Connector took place through a partnership between the law firm Troutman Pepper, the Foundation product team at Litera, and Courtroom Insight.
Carrie Remhof, the senior firm intelligence manager at Troutman Pepper, aligned Matter Connector as an innovative tool effortlessly integrating public docket data with her firm’s internal operations. Echoing her sentiments, Torchiana pointed out how the Matter Connector’s ability to normalize legal data from disparate sources boosts the capabilities of legal organizations.
The creation of Matter Connector was initiated based on Remhof’s suggestion, who sought a method to introduce external docket data into Foundation. The aim was not merely to plug a single docket feed into Foundation, but to achieve a solution capable of gleaning data from several docket feeds, refine it, and enrich it making it as intuitive and seamless as possible.
Currently, the connector processes docket data from Docket Alarm and LexisNexis. However, plans are underway to integrate all major providers of docket data. The eventual goal is to automate this process by employing machine learning capabilities.
Despite being developed in collaboration with Foundation, the data from the connector can be exploited with other law firm systems as desired. Remhof shared that she initially introduces the data into her firm’s master data warehouse, enabling her to utilize the data in Foundation as well as other systems like Microsoft Power BI and Tableau.
Essentially, Matter Connector presents a commendable degree of flexibility. With the ability to change the docket vendor effortlessly, law firms can now be less reliant on them.
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