MATTHEW.R.WALSH | Litigation Forensic Witness & Digital Investigations

EXPERT WITNESS

FRE 702 never stood a chance.

Daubert me. I dare you.

My work is built to be attacked. Methods documented. Sources preserved. Conclusions reproducible. Every opinion tied to evidence that can be shown, tested, and defended under oath. Challenge the methodology. Good. I bring the receipts — and then the receipts for the paper they’re printed on.

Full Infrastructure Analyses ↗ Deepfake / Catfish #1 ↗ Deepfake / Catfish #2 ↗ Peer Review ↗
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DIGITAL FORENSICS

The document isn't the truth.

But it’s all they want you to see.

Who cares what it “says”? The file is only what made it to the screen. I want what happened before that — metadata, timestamps, revision history, system logs, registry artifacts, browser traces, cloud sync records, deleted remnants, backups, hashes, and network activity. Systems record more than people realize, and they rarely forget cleanly. People tell stories. Computers leave records. If the two disagree, I follow the machine.

Man In The Middle ↗ Manipulated Evidence ↗ Deconstructing A Virus ↗ Catfishing & Deepfake ↗ Locating Document Authors ↗
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DIGITAL INVESTIGATIONS

The internet is a funny thing...

No one is anonymous. Nothing is hidden.

A random post is never just a post. A street sign in the background, a partial plate, a reflection, a storefront, a username reused once too often, an image with GPS metadata, a phone number buried in account recovery data — every artifact is another way in. I’ve worked backward through Snapchat and Meta productions, correlated hundreds of login and GPS records, matched recurring devices across changing IPs, traced burner accounts to recovery information, mapped activity across providers and physical locations, and written the subpoena language needed to turn the next clue into the next record. I’ve built custom tools to map and normalize large datasets, traced aliases across platforms, followed media through source code, APIs, CDNs, DNS, mirrors and upstream hosts, and monitored endpoints to see whether something was actually gone or merely moved. People make tiny mistakes every day and never notice them. One usually means nothing. Two produces clues. Three is triangulation. Four is a pattern. Five turns “anonymous” into a very specific person, time and place.

Anonymous Defamation ↗ Catfishing & Deepfake ↗ Catfishing & Deepfake ↗
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TRIAL AND INVESTIGATIVE TOOLING

All that data and nowhere to go.

Evidence Is Weak. Tools Make It Bulletproof.

When the evidence outgrows the tools, I build new ones. I’ve turned thousands of social-media GPS records into temporal life patterns — showing where someone goes, when they go there, what repeats, and where different datasets intersect. I’ve built discrete, non-linear deposition systems that let counsel move through testimony by issue instead of page number. The deponent said no to Question A and Question C then it's time to ask Question X. Monitoring platforms that continuously track stolen intellectual property across websites, hosts, mirrors, APIs, and infrastructure; and custom databases, correlation engines, timelines, maps, and visualization tools built around the evidence itself. The point isn’t software for software’s sake. It’s seeing the pattern that was already there — before anyone else knows to look for it. Turn flat data into trial gold. SHOW the Judge what happened, how and when. Find the contradiction. Expose the pattern. Impeach the witness.

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SAME DAY eDiscovery

The most complete production you've seen. Same day.

Make Your Productions Impossible To Embarrass

A discovery production should be something you can defend, not something you hope nobody examines too closely. My platform takes raw evidence and builds the entire production around it: continuous Bates control, preserved natives, searchable text, conversion from ANY TYPE to all of {PDF, HTML, TEXT, Native, TIFF} and more. Automatically extracted EXIF metadata, SHA-256 hashes, parent/attachment relationships, Concordance/Lexis/Obj/Custom load files, privilege tracking, responsive-keyword indexes, manifests, and a machine-readable XML record of the production itself. Supplemental sets append cleanly into what already exists — indexes regenerate, Bates numbering continues, and the production remains one coherent dataset. Automated cover letters. Automated privilege logs and confidential stamping. Upload your files, and hand it over to opposing counsel the same day. If opposing counsel goes looking for missing structure, broken provenance, unidentified files, or a production nobody can explain six months later, they should have a very boring afternoon.