What kinds of cases do you handle?

Typical cases include financial fraud (unauthorized transfers, account takeovers, deepfake payment scams, embezzlement); losses from poorly signed contracts where evidence is missing or e-signatures are disputed; proof of crypto custody to support tax residency and tax payments; intellectual property disputes between companies over source code misuse or unauthorized software reproduction; and deliveries of software or digital services that do not match the contract.

Who are your services for?

Law firms, in-house legal and compliance teams, companies investigating internal incidents, and individuals who need digital evidence collected, analyzed and explained. We work both for the party presenting evidence and for the party challenging the other side's technical findings.

What is crypto forensics?

Crypto forensics is the forensic analysis of cryptocurrency and blockchain activity. We trace transactions across chains and exchanges, cluster and attribute wallets, reconstruct the flow of funds, and document everything in a report that can be defended in court. It is used in fraud, money laundering, ransomware, insolvency and disputes over digital assets.

What is deepfake forensics and when do you need it?

Deepfake forensics is the technical examination of video, audio and images to determine whether they were generated or manipulated by artificial intelligence. It is critical in identity theft used for financial and contractual fraud, such as AI voice cloning in wire transfer scams, synthetic faces defeating remote KYC onboarding, and forged video or audio used to induce or dispute contracts. We analyze compression artifacts, biometric inconsistencies, metadata and provenance signals, and document the findings so they can be presented and defended as evidence in US courts under Federal Rules of Evidence 901, 902 and 702.

Can your reports be used as evidence in US courts?

Yes. Our methodology is built around the admissibility requirements US courts apply: authentication under Federal Rules of Evidence 901 and 902, and reliable, reproducible expert methodology under Rule 702 and the Daubert standard. Every step, including acquisition, hashing, chain of custody, tooling and validation, is documented so the analysis can be repeated and cross-examined.

Do you testify as an expert witness?

Yes. We prepare and deliver expert testimony, and we explain our conclusions in plain language so judges, juries, lawyers and non-technical audiences understand exactly what the evidence shows and what it does not. We also support attorneys with deposition preparation and rebuttal of opposing expert reports.

What is a technical expert report?

A detailed document prepared by a forensic expert describing the evidence examined, the methods used, the findings and the limitations. It relies on recognized, reproducible methodologies so the conclusions can be verified by the other side and accepted by the court.

How do you protect chain of custody and evidence integrity?

Evidence is acquired using forensically sound methods, verified with cryptographic hashes, and analyzed on working copies so the original is never altered. Every transfer and action is logged in a documented chain of custody, which is what allows the evidence to survive challenge in court.

Do you investigate devices other than phones and computers?

Yes. We analyze cloud accounts and SaaS logs, servers, vehicle systems (GPS and infotainment), smartwatches, CCTV, IoT devices and network captures. If it has memory or produces logs, it can usually be investigated.

Can you work remotely with US law firms and companies?

Yes. Most engagements start remotely: a scoping call, a secure transfer or remote acquisition of the data, then analysis and reporting. When physical seizure or on-site imaging is required, we coordinate the collection so the chain of custody is preserved end to end.

How long does a forensic analysis take?

It depends on the complexity of the case and the volume of data. A focused analysis of a single device or wallet is typically faster than a multi-device or multi-chain investigation. Expedited timelines are available and agreed upfront.

How much does it cost?

Every case is scoped individually, and complexity drives the price. As a reference, expert hourly rates typically range from EUR 120 to EUR 200 (approximately USD 130 to 220). You receive a scope and estimate before any work begins.

Will my data be confidential and secure?

Yes. Confidentiality is a pillar of our work. We operate under NDA when required and follow strict custody, access-control and data-protection protocols so your privacy and the integrity of the evidence are preserved.

Is Evidencify certified?

Our technicians hold ISMP - Information Security Management Professional (ISO/IEC 27001) and PDP - Privacy & Data Protection certifications, both issued by EXIN.

How do I get started?

Click 'Hire an Expert' and tell us briefly what happened. After a short confidential evaluation of your case, we explain the possible approaches, the expected timeline and the costs.

Source Code Forensic Analysis in US Intellectual Property Litigation

By Thiago Vieira, Court-appointed digital forensic expert · Published August 27, 2026

Source code forensic analysis provides court-admissible evidence in US copyright and trade secret disputes. Learn how forensic experts analyze code repositories, algorithms, and binary files under federal evidence rules.

Source code forensic analysis is the methodical, legally defensible examination of software source code, repository histories, and build artifacts to prove or disprove intellectual property infringement, trade secret theft, or breach of contract. In United States federal and state courts, source code examinations serve as critical evidence in copyright disputes, patent litigation, and trade secret misappropriation claims under the Defend Trade Secrets Act (DTSA) and state Uniform Trade Secrets Acts (UTSA).

When high-value proprietary algorithms, trade secrets, or copyrighted architectures are allegedly copied or exfiltrated, expert witnesses conduct deep static and dynamic code comparisons to establish objective proof of derivation or independent creation.

What Is Source Code Forensic Analysis in US Litigation?

In civil litigation within US district courts, source code forensic analysis goes far beyond a simple text-matching exercise. It is a comprehensive digital forensics protocol designed to examine the design, structure, history, and lineage of software applications.

Under the Federal Rules of Civil Procedure (FRCP) and Federal Rules of Evidence (FRE), digital forensics experts analyze source code to answer fundamental legal questions:

Literal Copying: Did a former employee or competitor directly paste copyrighted functions, classes, or modules into a competing product?
Non-Literal Copying: Does a target application copy the structure, sequence, and organization (SSO) of a protected program in a manner that constitutes copyright infringement under the abstraction-filtration-comparison framework?
Trade Secret Misappropriation: Were specific proprietary algorithms, trade secrets, or unpatented business logic exfiltrated via code repositories (such as GitHub, GitLab, or Bitbucket) and integrated into a new codebase?
Clean Room Verification: Did a defense team properly insulate its developers through a verified "clean room" process to ensure independent creation without exposure to the plaintiff’s proprietary code?

Because source code represents a company's most valuable intellectual property, courts strictly regulate access during discovery through comprehensive Protective Orders and Source Code Review Protocols.

Core Phases of a Source Code Forensic Examination

Executing a source code forensic analysis for court submission requires strict adherence to chain of custody procedures and scientific methodology under FRE Rule 702 and Daubert standards.

1. Secure Code Ingestion and Verification

Before analysis begins, forensic examiners create forensic images of developer workstations, servers, and code repositories. Experts calculate cryptographic hashes (SHA-256) for all source files, commit logs, and repository metadata to verify data integrity and establish an unbroken chain of custody.

2. Static Code Comparison and Similarity Indexing

Experts utilize specialized automated tools alongside manual inspection to compare source code files across languages (e.g., C++, Python, Java, Go, Rust). Static analysis evaluates:

AST (Abstract Syntax Tree) Analysis: Comparing the structural flow of execution rather than mere variable names, which can easily be obfuscated.
Fuzzy Hashing and Tokenization: Detecting near-duplicate code blocks, copied functions, and structural similarities even when comments are deleted or identifiers are renamed.
Comment and Artifact Residuals: Identifying leftover developer comments, internal path references, or unique typos carried over from the original codebase.

3. Git and Repository History Reconstruction

Modern trade secret theft frequently occurs via version control systems. Forensic examiners analyze Git commit histories, branch merges, pull requests, and author timestamps to trace the exact moment proprietary code entered a target repository. This reveals whether code was incrementally written or introduced in massive bulk commits by a key hire.

4. Binary and Executable Decompilation

When opposing parties refuse or fail to produce complete source code during discovery, experts perform reverse engineering on compiled binaries, mobile applications (APKs/IPAs), or firmware. Using tools such as Ghidra or IDA Pro, forensic analysts decompile binaries back into intermediate representations to compare underlying logic against the original source code.

Source Code Forensic Analysis in Trade Secret and Copyright Disputes

US courts evaluate software IP claims using specific legal frameworks that dictate how forensic findings must be presented.

Copyright Infringement and the Abstraction-Filtration-Comparison Test

In copyright litigation involving software (such as Computer Associates v. Altai), source code forensic analysis helps the court separate protected expression from unprotected ideas. The examiner helps the trier of fact:

Abstract the software into its constituent structural components (main functions, subroutines, modules).
Filter out public domain code, standard open-source libraries (e.g., MIT, GPL licenses), efficiency-driven design constraints, and industry-standard idioms (scènes à faire).
Compare the remaining core expressive elements to determine if substantial similarity exists.

Trade Secret Theft Under the Defend Trade Secrets Act (DTSA)

In trade secret disputes, the focus shifts from copyrightable expression to economic value and secrecy. Forensic code analysis establishes whether specific compiled algorithms, parameters, or data structures were misappropriated. By correlating file access logs from device forensics with code repository additions, experts establish direct link chains between exfiltration events and commercial deployment.

Best Practices for Court-Approved Source Code Inspections

Due to the sensitivity of source code, US federal judges routinely mandate strict source code protocols. Experts handling source code forensic analysis must navigate several logistical constraints:

Air-Gapped Review Terminals: Source code inspections frequently take place on stand-alone, non-networked computers located at defense counsel's office or a neutral location, with USB ports disabled and strict logging software active.
Tool Authorization: Forensic experts must pre-install vetted, non-invasive analysis tools (such as Beyond Compare, Scitools Understand, or custom Python scripts) approved by opposing counsel or court order.
Printout Restrictions: Courts limit the number of source code pages that may be printed for expert report inclusion, requiring concise, highly relevant excerpts rather than bulk dumps.

Frequently Asked Questions

What tools are used in source code forensic analysis?

Forensic experts use static analysis suites (e.g., SonarQube, Scitools Understand), specialized diffing tools (e.g., Beyond Compare, Araaxis Merge), reverse engineering tools (e.g., Ghidra, IDA Pro), and custom AST parsing scripts to detect code similarity, structural overlap, and repository anomalies.

How do experts distinguish between open-source code and stolen trade secrets?

During the filtration phase, experts index all third-party and open-source packages (such as packages from npm, PyPI, or GitHub) present in both codebases. Publicly available libraries and standard permissive-licensed code are isolated so the comparison focuses exclusively on proprietary, custom-developed logic.

Can source code forensic analysis prove who stole the code?

Yes. By combining source code comparison with digital device forensics—such as analyzing USB artifact logs, cloud storage activity, and Git commit metadata—forensic examiners can attribute code exfiltration and integration to specific user accounts and individuals.

Establishing Proof in Software Litigation

Whether protecting your firm’s foundational software assets or defending against unsubstantiated copying claims, rigorous source code forensic analysis provides the factual clarity required in US federal and state litigation. Uncovering literal copying, structural derivation, or Git-level history requires a combination of technical precision, legal familiarity with FRCP and Rule 702, and court-tested methodology.

If your case involves software intellectual property, trade secret exfiltration, or technical breach of contract, contact Evidencify for a confidential case evaluation and expert consultation.

Need help with a case like this? See our Source code forensics expert services, or request a confidential case evaluation.

Primary sources

About the author

Thiago Vieira, Court-appointed digital forensic expert. Attorney (OAB Brazil and Ordem dos Advogados de Portugal) and digital forensic expert officially appointed by the Tribunal da Relação do Porto, TJMG and TJSC, with 60+ judicial cases involving deepfakes, digital manipulation and source code analysis.