Re-Broadcast: June 18, 2026
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When a phone is lost, wiped, encrypted, or sitting in the opposing party's pocket, counsel often treats the messages, location data, and app activity as gone — and that assumption forfeits the case. The data survives the device in cloud backups, carrier records, provider logs, and social media, but only briefly: provider retention windows close on their own schedule, and once the data ages out, no subpoena brings it back. Generative AI now hits the same evidence from two directions, degrading the metadata used for attribution and forcing new Daubert and Frye fights over AI-enhanced and AI-generated proof. Any litigator relying on a party's communications — personal injury, family, commercial, or criminal — is exposed the moment they wait for the device instead of moving on the cloud. Brett Burney, Daniel Garrie, J-Michael Roberts, Laurence Lieb, and Kenneth Rashbaum cover subpoenaing providers and cloud sources, using metadata to authenticate and attribute, drafting AI service agreements, and laying evidentiary foundations under Daubert and Frye. You leave able to secure mobile evidence before it expires and to authenticate or challenge it once AI is in the mix.
What will you learn
Attorneys will learn how to collect, authenticate, and establish admissibility for electronically stored information from cloud services, mobile devices, and AI-generated sources.
What will you gain
Attorneys will gain practical knowledge of forensic tools, metadata preservation techniques, and strategies to meet evidentiary challenges for digital evidence in litigation.
Key topics to be discussed:
This course is co-sponsored with myLawCLE.
Date / Time: June 18, 2026
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Closed-captioning available
Brett Burney | Nextpoint
Brett Burney is the eLaw Evangelist at Nextpoint (www.nextpoint.com) where he helps educate lawyers and law firms on the duties and responsibilities associated with collecting, reviewing, and defensibly producing electronically stored information. Brett primarily helps law firms and corporate legal departments successfully navigate their e-discovery challenges, and he co-authored the eDiscovery For The Rest Of Us book (www.nextpoint.com/book) designed to help small- and mid-sized law firms understand the options available for their e-discovery needs. Brett also serves at the Vice President of eDiscovery Consulting at the Nextpoint Law Group.
In addition, Brett regularly teaches lawyers how to integrate Macs and iOS devices in their practice and coauthored the ABA-published book Macs in Law: The Definitive Guide for the Mac-Curious, Windows-Using Attorney. Brett also co-hosts the weekly In the News podcast (www.inthenewspodcast.com) with Jeff Richardson from www.iphonejd.com.
Brett served as the Chair of the 2015 ABA TECHSHOW Planning Board and currently Co-Chairs the 2026 ABA TECHSHOW Planning Board, is a Trustee for the EDRM 2.0 Project, and is a member of Working Group 1 of The Sedona Conference. Brett regularly speaks around the country to lawyers and legal groups on a wide variety of technology-related topics. You can contact him at [email protected].
LinkedIn Profile: https://www.linkedin.com/in/brettburney/
Daniel Garrie | Law & Forensics LLC
Daniel B. Garrie, Esq. is the Founder and Managing Partner of Law & Forensics LLC, where he leads the firm’s cybersecurity, e-discovery and digital forensics teams. He has built Law & Forensics into one of the leading boutique firms in the industry, serving Fortune 100 companies, global financial institutions, and government agencies in high-stakes cybersecurity and forensic matters. Mr. Garrie also serves as a neutral with JAMS, where he acts as an arbitrator, mediator, and e-discovery Special Master in complex litigation. He is an Adjunct Professor at Harvard University, where he teaches Information Security, Computer Forensics, and Cybersecurity Law. A technologist and attorney with more than 20 years of experience, he holds a B.A. and M.A. in Computer Science from Brandeis University and a J.D. from Rutgers Law School.
J-Michael Roberts | Law & Forensics LLC
J-Michael Roberts serves as a Senior Director at Law & Forensics LLC and heads the firm’s New York office. He is a highly experienced forensic examiner, expert consultant, and testifying expert across diverse legal forums, including U.S. District Courts, state courts, and international arbitrations. With expertise in digital forensics, incident response, malware reverse engineering, mobile and server/network investigations. Mr. Roberts has led high-profile cyber investigations involving state-sponsored breaches, digital fraud, insider trading, and complex incident response scenarios. He previously worked at Stroz Friedberg, where he developed portable forensic networks for onsite analysis and effectively managed forensic response teams. His contributions include creating the VirusShare malware repository and the Black Harrier Linux Distribution, and he holds certifications such as CCE from ISFCE and GREM from SANS, reflecting his deep digital forensics and cybersecurity acumen.
Laurence D. Lieb | Tyger Forensics
Larry Lieb has been working in the field of computer forensics and electronic discovery since 1998 and has been qualified as a subject matter expert in multiple Federal and State courts.
Larry is the CEO of Tyger Forensics, a computer forensic and electronic discovery practice which is known for the ability to acquire and recover electronic evidence which other competing practices could not recover.
Kenneth N. Rashbaum | Barton LLP
Kenneth N. Rashbaum advises multinational corporations, financial services, life sciences organizations, and other businesses on artificial intelligence (AI) and machine learning, privacy, cybersecurity, e-discovery, electronic evidence for litigation and regulatory proceedings, and information management. He counsels on information governance, compliance with U.S. and non-U.S. laws, and the intersection of e-commerce with legal and regulatory liabilities, including breach response. He has extensive experience preparing and negotiating technology contracts, such as service level and license agreements, addressing compliance with data protection and privacy laws worldwide.
In AI matters, Ken drafts acquisition, deployment, and use policies; prepares template data sharing and service agreements; reviews and negotiates AI model agreements; advises on cyber risk and technology E&O insurance coverage; revises privacy notices for AI data use; and develops corporate training on evaluating, deploying, and monitoring AI models. His technology law course at Fordham Law School covers these topics as well as U.S. state and non-U.S. laws, including the EU AI Act, and admissibility of AI-generated evidence.
Ken assists clients with privacy, cyber liability, and technology E&O insurance applications, including required information controls. He leads information security and breach response investigations, prepares social media compliance policies, and represents technology and life sciences organizations in federal and state investigations, audits, and litigation.
A nationally recognized healthcare privacy expert, Ken advises on compliance with federal, state, and judicial standards for protected health information. He has served as HIPAA and privacy counsel to hospital systems, health plans, physicians’ groups, cloud providers, and app developers; guided academic hospitals on security and privacy controls for electronic health records; and counseled on risk management in patient data access, use, and disclosure.
In 2019, Ken was a special consultant to the New Jersey Assembly on a proposed comprehensive privacy and cybersecurity law and testified before the Homeland Security and State Preparedness Committee.
Ken is an Adjunct Professor at Fordham University School of Law and formerly taught at Hofstra University School of Law (2013–2015). Previously, he was a senior litigation partner at Sedgwick LLP, where he founded the E-Discovery, Compliance and Data Management, and HIPAA Practice Groups.
SESSION 1 – Digital Evidence Without Devices: Service Providers and Cloud Access | 1:00pm – 2:00pm
This session explores best practices for efficiently reviewing and producing ESI, practical strategies for cost-effective ESI management, and key considerations for selecting and overseeing e-discovery vendors throughout the litigation process.
BREAK | 2:00pm – 2:10pm
SESSION 2 – Unlocking Metadata to Authenticate and Attribute Cloud-Based Evidence | 2:10pm – 2:55pm
This session examines what metadata can reveal, common production pitfalls, the impact of generative AI on metadata reliability, and practical strategies for attribution and authentication in cloud-based and mobile digital environments.
BREAK | 2:55pm – 3:05pm
SESSION 3 – Providers in AI-Based or Enhanced Evidence Admissibility Challenges | 3:05pm – 3:50pm
This session explores drafting AI service agreements, establishing evidentiary foundations for AI-generated evidence, addressing Daubert and Frye challenges, and developing persuasive admissibility arguments involving generative and predictive AI in litigation.
BREAK | 3:50pm – 4:00pm
SESSION 4 – Unlocking Smartphone Evidence from Multiple Sources | 4:00pm – 4:30pm
This session examines smartphone evidence collection, the primary sources of recoverable mobile data, strategies for obtaining communication evidence through subpoenas and agreed orders, and effective methods for collecting evidence about opposing parties in litigation.
Approved for CLE Credits
3 General
Approved for CLE Credits
3 General
Approved for CLE Credits
3 General
Approved for CLE Credits
3 General
Approved for CLE Credits
3 General
Approved for Self-Study Credits
3 General
Approved for CLE Credits
3 General
No MCLE Required
3 CLE Hour(s)
Pending CLE Approval
3 General
Approved via Attorney Submission
3 General Hours
Approved for CLE Credits
3 General
Approved for CLE Credits
3 General
Approved for Self-Study Credits
3 General
Pending CLE Approval
3 General
Approved for Self-Study Credits
3 General
Approved For On-Demand Credits
3 General
Pending CLE Approval
3 Substantive
Pending CLE Approval
3 General
Pending CLE Approval
3 General
No MCLE Required
3 CLE Hour(s)
No MCLE Required
3 CLE Hour(s)
Pending CLE Approval
3 General
No MCLE Required
3 CLE Hour(s)
Approved for Self-Study Credits
3 General
Approved for CLE Credits
3.6 General
Pending CLE Approval
3 General
Approved for Self-Study Credits
3 General
Pending CLE Approval
3 General
Approved for CLE Credits
3 General
Pending CLE Approval
3 General
Approved for CLE Credits
180 General minutes
Approved for Self-Study Credits
3.6 General
Approved for CLE Credits
3 General
Approved for Self-Study Credits
3 General
Approved for CLE Credits
3.5 General
Approved for Self-Study Credits
3 General
Pending CLE Approval
3 General
Pending CLE Approval
3 General
Approved for CLE Credits
3 General
Approved for CLE Credits
3.5 General
Pending CLE Approval
3 General
No MCLE Required
3 CLE Hour(s)
Approved for Self-Study Credits
3 General
Approved for Self-Study Credits
3 General
Pending CLE Approval
3 General
Approved for Self-Study Credits
3 General
Approved for CLE Credits
3 General
Approved for Self-Study Credits
3 General
Approved for Self-Study Credits
3.5 General
Approved for Self-Study Credits
3.6 General
Approved for Self-Study Credits
3 General