[Webcast] Faster Finds, Fewer Files: A Smarter Approach to Email Investigations (May 21, 2025)
[Webcast] Faster Finds, Fewer Files: A Smarter Approach to Email Investigations (May 21, 2025)
By HaystackID Staff
Email remains one of the most critical and challenging data sources in investigations. Whether responding to cybersecurity incidents, managing eDiscovery demands, or handling regulatory audits, organizations have to quickly identify, analyze, and act on key email evidence. However, traditional methods for conducting email investigations may involve full mailbox collections, manual filtering, and long processing times—creating unnecessary cost, delay, and risk.
With rising data volumes, complex cloud environments, and growing regulatory scrutiny, legal and forensic teams must streamline their investigative workflows without compromising defensibility or data protection. From insider threats to system misconfigurations, email can hold the key to timely, informed decisions—but only if teams can access the right insights quickly.
Join HaystackID’s digital forensics experts for an in-depth discussion on modern challenges in email investigations—and the emerging methodologies that can help organizations:
- Expedite early case assessment and investigative triage
- Minimize overcollection while preserving privacy and compliance
- Streamline analysis workflows to accelerate resolution timelines
Drawing from real-world use cases, our experts will share how forensics strategies can help uncover relevant communications, identify risk indicators, and accelerate response—without relying on outdated or resource-heavy workflows.
Webcast Details
Learn how forward-thinking teams approach email investigations with a lens on efficiency, defensibility, and smarter data decisions.
+ Date: May 21, 2025
+ Time: 11 AM CDT / 12 PM EDT
+ Registration Link
Expert Panelists
+ John Wilson, ACE, AME, CBE
Chief Information Security Officer and President of Forensics, HaystackID
As Chief Information Security Officer and President of Forensics at HaystackID, John provides consulting and forensic services to help companies address various matters related to electronic discovery and computer forensics, including leading forensic investigations, cryptocurrency investigations, and ensuring proper preservation of evidence items and chain of custody. He regularly develops forensic workflows and processes for clients ranging from major financial institutions to governmental departments, including Fortune 500 companies and Am Law 100 law firms.
+ Rene Novoa, CCLO, CCPA, CJED
Vice President of Forensics, HaystackID
As Director of Forensics for HaystackID, Rene Novoa has more than 20 years of technology experience conducting data recovery, digital forensics, eDiscovery, and account management and sales activities. During this time, Rene has performed investigations in both civil and criminal matters and has directly provided litigation support and forensic analysis for seven years. Rene has regularly worked with ICAC, HTCIA, IACIS, and other regional task forces supporting State Law Enforcement Division accounts and users in his most recent forensic leadership roles.
About HaystackID®
HaystackID solves complex data challenges related to legal, compliance, regulatory, and cyber events. Core offerings include Global Advisory, Data Discovery Intelligence, HaystackID Core® Platform, and AI-enhanced Global Managed Review powered by its proprietary platform, ReviewRight®. Repeatedly recognized as one of the world’s most trusted legal industry providers by prestigious publishers such as Chambers, Gartner, IDC, and Legaltech News, HaystackID implements innovative cyber discovery, enterprise solutions, and legal and compliance offerings to leading companies and legal practices around the world. HaystackID offers highly curated and customized offerings while prioritizing security, privacy, and integrity. For more information about how HaystackID can help solve unique legal enterprise needs, please visit HaystackID.com.
Assisted by GAI and LLM technologies.
Source: HaystackID