With the discussion around the impact of generative AI dominating the dialogue within the legal services industry, it is easy to buy into the hype without considering if the technology is the appropriate tool for the task.
Why strike a nail with a jackhammer, where a hammer and an accurate hand produce a better result?
In eDiscovery, digital forensics, and cyber investigations, we have been solving complex challenges using tried and true methods and technical stacks that produce the same, if not better results, in a more defensible manner than the latest and greatest generative AI. However, adoption of even these early-generation approaches to solving data-centric challenges have not been fully embraced by an industry that is now rushing to consider generative AI-based technologies.
In this webinar, expert panelists from HaystackID and Reveal Data will discuss the unfortunate confusion around these types of technologies and share on the opportunities and appropriate use for structured analytics, machine learning, artificial intelligence, and different large language models in the context of cybersecurity, information governance, and legal discovery. Panelists will also highlight methods for validating the output of these systems, including the dangers of black box approaches when leveraging artificial intelligence, so that attendees can take back to their practices or organizations positive and trusted information to help streamline and encourage the adoption of AI to solve data-centric problems.
Expert Panelists
+ Michael Sarlo
Chief Innovation Officer, President of Global Investigations and Cyber Incident Response Services, HaystackID
Michael Sarlo, as Chief Innovation Officer, works closely with HaystackID’s software development and data science teams to deliver best-in-class data collection, eDiscovery, and review solutions that allow legal teams to act on data types typically not conducive to collection, review, or production in the context of eDiscovery. In his role as President of Global Investigations, Michael works closely with clients on the most challenging and complex regulatory, investigative, and civil litigation matters. Michael also oversees HaystackID’s Cyber Discovery and Incident Response Services division. He leads a cross-functional team of HaystackID experts that regularly assist insurers, breach coaches, and their corporate clients when a data breach occurs.
+ Cat Casey
Chief Growth Officer, Reveal Data
Catherine “Cat” Casey is responsible for creating new opportunities for AI adoption by leveraging Reveal’s powerful technology platform. She is a frequent keynote speaker and outspoken advocate of legal professionals embracing technology to deliver better legal outcomes. Casey has over a decade and a half of experience assisting clients with complex eDiscovery and forensic needs that arise from litigation, expansive regulation, and complex contractual relationships. Casey has an A.L.B. from Harvard University and attended Pepperdine School of Law.
+ John Brewer
Chief Data Scientist, HaystackID
John Brewer, HaystackID’s Chief Data Scientist, focuses on bringing the latest advancements in internet technologies to the eDiscovery and incident response markets. Having worked with HaystackID since 2015, John has been a software engineer and information technologist for more than two decades and has worked for dozens of Fortune 500 companies in technology leadership roles ranging from eDiscovery and data migration to information stewardship.
Prior to joining HaystackID, John worked at BackOffice Associates (now Syniti), helping to advocate for the importance of data to enterprise businesses. He was instrumental in helping bring a data-driven approach to dozens of the world’s largest firms, and developed practical, hands-on experience with both the business and technical implications of Big Data just as it was coming into to the forefront of information technology. He left Backoffice in 2014 to start his own venture, Deep Core Data, LLC, where he continued to provide technical expertise to data-centric firms.
+ Bernie Gabin, Ph.D.
Senior Data Scientist, HaystackID
Dr. Bernie Gabin is currently the Senior Data Scientist on the HaystackID Data Science team. In this role, he works closely with the company’s Chief Data Scientist, John Brewer, to apply data-driven metrics to improve our procedures and develop custom AI/ML-empowered solutions for our clients.
Prior to joining HaystackID, Bernie received his Ph.D. in physics from Brandeis University. His doctoral work in brain-computer interface systems and machine learning/artificial intelligence led him to work on AI/ML-focused projects for the US Patent Office, Northrup Grumman, and the National Security Agency. At HaystackID, he brings his expertise in signal processing, AI design, and data modeling to create novel data-driven solutions.
