[Podcast] HaystackID® in the EDRM Illumination Zone: Matthew Hamilton

What Would a Counter-Terrorism Forensics Investigator Say About Your Corporate Discovery Strategy?

There is a scenario that plays out with uncomfortable regularity in corporate legal matters. A company discovers a potential breach or employee misconduct. The legal team moves fast because they have to. Someone pulls data from the relevant devices: a laptop, a phone, or a SharePoint folder. The data gets handed off, and the matter proceeds. And then, months later, when that evidence faces scrutiny in a regulatory proceeding or courtroom, a problem surfaces: the collection wasn’t documented well enough; the methodology can’t be reproduced, and the chain of custody has gaps. The evidence that was supposed to anchor the case becomes its weakest link. Matthew Hamilton spent 26 years with the London Metropolitan Police, the last of which was upwards of a decade in counter-terrorism digital forensics. When he stepped into the private sector as a forensic analyst at HaystackID, the gap between how law enforcement handles evidence and how corporations do it was immediate and significant.

In the latest EDRM Illumination Zone podcast, Hamilton sat down with EDRM CEO and Chief Legal Technologist Mary Mack and Senior Marketing Operations Manager Holley Robinson to discuss what rigorous digital forensic practice entails, how corporate environments compare to law enforcement, and what legal and technology professionals, including the in-house teams responsible for overseeing those collections, tend to miss when speed and defensibility pull in opposite directions.

Haste Leaves Gaps. Gaps Lose Cases.

Hamilton does not fault corporations for moving quickly. Investigations cannot wait six months to begin; clients and regulators will not allow it. But speed, when it compresses the forensic process in ways that sacrifice defensibility, creates a different kind of risk, one that often doesn’t surface until it’s too late to fix.

“Within corporate environments, things need to move quickly. The problem with that is if it’s not done properly, then you can fall foul later down the line when it comes to standing up in court or if it comes to any sort of proceedings,” he explained.

In law enforcement counter-terrorism work, speed mattered too—often intensely—in the early stages of an investigation. But once a suspect was charged and a court date set, the forensics team had months to build the evidentiary record, stress-test the chain of custody, and prepare for cross-examination. That runway simply doesn’t exist in most corporate matters. Discovery timelines are compressed. Regulatory deadlines are fixed. And yet the evidentiary bar, while somewhat different from the criminal standard, still demands a documented, reproducible, and defensible process.

What Hamilton observed in corporate environments was a predictable gap. The people doing the collections understood the pressure. They didn’t always understand the methodology. The result was datasets that looked complete but fell apart under scrutiny.
“We’ve seen people doing collections who haven’t quite understood what they’re doing because of the speed that they needed to move. We’ve then had to go back into the dataset and redo it because defensibility just isn’t there,” he said.

Redoing a collection is expensive. Redoing it after a proceeding has already begun, or after the original data has changed, may not even be possible.

That said, Hamilton is clear that this is not always the norm. Most collections are handled properly. But in forensics, exceptions have a long memory.

Accountability Doesn’t Have a Lower Setting

One of the more instructive parts of Hamilton’s perspective is how he frames the difference in evidentiary standards across criminal, civil discovery, and internal audit contexts—not as a reason to relax, but as a reason to understand precisely where the bar sits.

In counter-terrorism criminal proceedings, the standard is beyond reasonable doubt. Every action Hamilton took with a piece of digital evidence was subject to cross-examination by defense barristers in front of a jury. The scrutiny was relentless by design, and that discipline became instinct.

Civil discovery operates under a lower formal threshold, but it carries its own demands.

“That’s more to do with processes and defensible and reproducible processes that you’re carrying out,” he noted. “Although the evidence is there, similar to law enforcement, you can be cross-examined by counsel, by the court.”

The accountability doesn’t disappear; it shifts in character.

Internal audit sits lower still, but even there, Hamilton’s point stands: you are producing findings that must withstand reasonable challenges. The question of whether you can justify what you did and how you did it applies to every level.

What changes is the weight of the evidence. What stays constant is the obligation to document, to be reproducible, and to be ready to defend the methodology, potentially years after the fact.

GDPR Belongs in the Room When the Strategy Is Built

Legal professionals need to view proportionality not as a legal formality, but as a practical constraint that shapes how an investigation gets designed from the outset.

“When you’re planning investigations and extracting data from any source, you need to make sure that GDPR considerations are at the forefront of whatever you’re doing. You need to know if the data that you’ve collected is proportionate, so you can justify why you’ve taken it,” Hamilton said.

The traditional approach—collect everything, sift through it later, and figure out what you actually need—was never ideal from a privacy standpoint, but it was defensible in a pre-GDPR regulatory environment. That environment no longer exists in the UK and the EU. Under GDPR, data minimization and purpose limitation are legal requirements. Organizations must be able to demonstrate that what they collected was necessary and proportionate to the stated purpose.

The practical challenge is that people’s devices, especially personal phones used for work, contain data unrelated to the matter at hand.

“People’s phones are their lives nowadays. Everything lives on their phone. You need to plan what you’re taking,” Hamilton said.

A targeted collection with documented justification will hold up. A mass extraction that sweeps up personal data without clear necessity will not. In some jurisdictions, it can generate its own regulatory exposure.

As Esther Birnbaum, HaystackID’s EVP of Data Intelligence, said during a webcast earlier this year: “The more data you have, the harder it is to stay in compliance.”

It is a point that applies as much to forensic collection strategy as it does to retention policy.

Cross-border data flows add another layer. Where data is hosted, which regional data centers hold it, and whether it can be lawfully transferred from the EU to the US or vice versa are legal questions with forensic implications, and they need answers before collection begins, not after.

The Foundations of a Sound Forensics Strategy

Throughout his law enforcement career, Hamilton spent time establishing and managing forensic labs. These were operations where the evidentiary consequences of getting it wrong were immediate and severe. That experience shapes how he thinks about what makes a digital forensics operation genuinely effective in any environment.

Good forensic analysts, in his view, are not people who accept what a tool’s output tells them. They are people who push past it, who recognize that software can extract and organize data but cannot identify behavioral patterns, correlations across devices, or anomalies that require contextual judgment.

“Tools can’t establish patterns in data, patterns between phones, and patterns between computers,” Hamilton said. “That takes skill and a good level of understanding of what you’re dealing with.”

The tools themselves matter, and keeping pace with them requires active investment. Operating systems update. New applications appear. Mobile device acquisition capabilities shift constantly. A forensics operation that isn’t staying current with its tooling risks being unable to extract data from a device that matters.

But the piece that Hamilton returns to repeatedly is methodology—specifically, the existence of documented standard operating procedures that someone new to the team could read and follow to reach the same result as an experienced examiner. That reproducibility is, at its core, what legal defensibility means in practice.

“If you can repeat what you’ve done, someone else can repeat what you’ve done. That’s when you know you’re defensible,” said Hamilton.

Reputation follows strong, defensible processes. Forensics is, as Hamilton noted, a small world. Defense experts talk. Barristers talk. A forensic operation known for rigorous procedure and defensible work faces less hostile cross-examination over time, not because opposing counsel becomes friendlier, but because there is less to challenge.

The AI of It All

During the podcast, Hamilton raised a challenge that is becoming increasingly relevant for forensic analysts working on matters involving social media, collaboration platforms, and consumer applications: the problem of AI-generated content and its impact on the reliability of the evidentiary record.

Digital forensics used to operate on a foundational assumption: that data, once properly extracted and preserved, could be trusted as a factual record. That assumption is increasingly under pressure. AI-generated images, videos, and text appear in the same data sets as authentic material, and distinguishing between them requires both technical methods and, critically, scale.

Cloud data compounds this further. Unlike a hard drive seized and preserved at a fixed point in time, cloud data moves. It gets deleted, overwritten, or redistributed across regions. When an examiner returns to reproduce a collection six months later, the data may not be in the same place or may not exist at all. For legal and technology professionals increasingly working across M365, Slack, and other cloud-native environments, the reproducibility standard that defines defensible forensics becomes significantly harder to meet when the evidence itself is in motion.

It is a shift that John Wilson, HaystackID’s Chief Information Security Officer and President of Forensics, sharpened at the Dublin Tech Summit earlier this year, as reported in Newsline by HaystackID. The question digital forensics has asked for three decades—is this file what it claims to be—no longer fits the evidence in front of it. As Wilson put it: “The real question is, how do I prove that the clean one is safe?” Integrity is table stakes now. Authenticity is the harder, newer obligation.

HaystackID’s Verification and Legal Identification/Authentication of Digital Media (VALID™) Suite sits directly in that space, combining advanced analytics, forensic workflows, and court-ready reporting to authenticate images, video, and audio, including synthetic and AI-generated content.

VALID examines digital media at the pixel, frame, and waveform level—identifying manipulation, verifying provenance, and producing findings that can hold up to cross-examination. The standard it adheres to is the same one Hamilton describes: every piece of digital media in an evidentiary record must be something an analyst can stand behind.

Bringing Law Enforcement Discipline to the Private Sector

Hamilton’s move from the Metropolitan Police to HaystackID’s expanding London-based practice reflects a gap he repeatedly observed in his first years in the private sector: the distance between the forensic discipline that high-stakes criminal environments demand and what most corporate discovery programs actually build.

The instinct he carries from counter-terrorism work—that everything you touch with a piece of evidence must be accountable, from the moment you first handle it through to whatever courtroom or proceeding it eventually reaches—is not excessive caution. It is the baseline standard that defensible practice requires. Applying that standard in corporate environments, where timelines are short and business pressure is real, is harder than it sounds. But the alternative, as Hamilton has seen repeatedly, is evidence that fails when it matters most.

The challenge for law firms, corporations, and discovery providers is to build processes that absorb that discipline systematically rather than relying on it to live inside particular individuals. HaystackID’s integrated approach—from forensic collection and GDPR-compliant cross-border workflows—reflects an attempt to institutionalize exactly that: the kind of end-to-end forensic rigor that Hamilton describes, built into the infrastructure rather than dependent on who shows up.

More About Matthew Hamilton

Matthew Hamilton is currently a Forensic Analyst at HaystackID. He brings 13 years of digital experience in digital forensics, specializing in preparing reports and evidentiary packages for both internal and criminal investigations. Known for his strong investigative skills, attention to detail, and professional discipline, he consistently seeks out opportunities to expand his knowledge and tackle new challenges. Trained to a high standard, Matthew brings adaptability, focus, and a commitment to continuous learning to every engagement.