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Friday, January 15 • 8:00am - 9:15am
Discoverable Client Issues Using Public Big Data

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Large publically available databases are coming online all the time. Programs can be written to gather data from these databases to find both people who are in need of legal help as well as to identify additional legal needs of existing clients. A client who comes in for a single issue can have their information automatically checked against these databases to see if their water is about to be shut off, if they have unpaid property tax, or even if they have a case eligible for expungement. This low-cost, holistic approach, can have a substantial impact on a client’s life. We will go over successful database scraping projects, how to manage/present large datasets, and how to determine if a database can be easily scraped in your state.

Speakers
avatar for Russ Bloomquist

Russ Bloomquist

Program Manager & Senior Full Stack Developer, Maryland Legal Aid
Russ Bloomquist is the Web Developer for Maryland Legal Aid with many years in web development and design management. He also specializes in collecting and analyzing big data.
avatar for Matthew Stubenberg

Matthew Stubenberg

IT Director, Maryland Volunteer Lawyers Service
Matthew Stubenberg graduated from Maryland Law School in 2013. After graduating he developed the “Not Guilty App” for iOS and Android, which was a finalist in the Legaltech Innovation Awards for 2015. He went on to create the MDExpungement.com website, streamlining thousands of expungement petitions in Maryland. He joined the IT Department at Maryland Legal Aid and helped to create the TRACE program. Matthew currently is the IT Director at... Read More →


Friday January 15, 2016 8:00am - 9:15am
Executive Salon 4 - 3rd Flr 111 East Pecan Street, San Antonio, TX 78205

Attendees (24)