Technical expert witness, source code forensics, and technical due diligence for attorneys, investors, and businesses. 25 years of hands-on experience, court-ready expert reports filed under Daubert standards, and fast turnaround on every engagement.
Broad technical consulting for businesses, law firms, and startups. Deep expertise and modern tools for fast, thorough results.
AI-directed software, firmware, and kernel-driver engineering. Peter directs Claude Code Max on deep technical projects — delivering scope that used to require a team, at solo-practice pricing. See the Software Development section for details.
Financial modeling, reporting dashboards, large-scale data processing. Make sense of your data and turn it into actionable decisions.
Linux administration, cloud architecture, CI/CD pipelines, monitoring, and security hardening. Keep your systems running smoothly.
LLM integration, RAG systems, automation workflows. Practical AI that solves real business problems — not science projects.
Document review, source code forensics, contract analysis, and expert reports filed under Daubert standards. From terabytes of raw data to court-ready deliverables — with automated quality verification on every document.
Pre-acquisition code audits, software asset valuation, architecture assessments, open source license compliance. Fast turnaround for deal timelines.
Focused expertise across four practice areas where deep technical skills, rigorous methodology, and modern tooling matter most.
Peter Gransee provides technical expert witness and software expert witness services for IP disputes, trade secret cases, patent litigation, and contract disputes involving software, source code, and engineering work product. Testimony, expert reports, and deposition support for federal and state courts.
Expert witness engagements include:
Typical cases: IP ownership disputes, trade secret misappropriation, software copyright claims, patent infringement involving source code, and contract disputes over software deliverables and acceptance criteria. When you need a technical expert witness who can explain source code to a jury and stand up to cross-examination, that's the work.
Pre-acquisition technical due diligence and software due diligence for investors, M&A advisors, private equity firms, and corporate acquirers. Fast turnaround matched to deal timelines — typically one to three weeks depending on code base size and review scope.
Technical due diligence reviews cover:
Deliverable: Written technical due diligence report with executive summary, detailed findings, risk rating, and specific remediation recommendations. Suitable for sharing with deal partners, lenders, and legal counsel. Every technical due diligence engagement is backed by a confidentiality agreement and secure data handling.
Source code forensics and software forensics for litigation, internal investigations, and IP disputes. Code authorship attribution, commit history reconstruction, intellectual property lineage, and source code audit across repositories of any size.
Source code audit and forensics engagements include:
Scale: Prior source code forensics engagements have covered hundreds of Git repositories, millions of commits, and hundreds of thousands of individual source files. Repository size is not a limiting factor — source code audit scope scales with the work, not the infrastructure.
Software development, firmware engineering, and kernel-driver work — for deep technical projects that demand modern AI-assisted tooling to be feasible at solo scale. Peter directs Claude Code Max under careful engineering judgment to deliver scope that used to require a small team, at solo-practice pricing.
Engagements include:
How it works: Peter defines the architecture, picks the tools, and sets the test criteria. Claude Code Max writes and iterates on the code under that judgment. Every output is verified against real hardware or real data before it ships. Engineering decisions — what to build, what to test, what to release — remain Peter's. The AI handles implementation at a velocity that makes solo firmware engagements practically feasible. See the PaOS research project in Proven Results below for a concrete example of this workflow applied at 100K-line scale.
Simple, transparent process from first call to final deliverable.
Describe your project, data set, or analysis requirements. Free 30-minute consultation to scope the work and give you a clear estimate.
Combining deep technical expertise with modern analytical tools, we process your documents, source code, or data thoroughly and efficiently.
Every deliverable passes through automated quality verification before it ships. Receive clear, well-organized work product ready for legal proceedings, board presentations, or internal decision-making.
Real engagements and research projects demonstrating what thorough technical consulting can deliver.
An investment firm needed to establish that their portfolio company — not the customer — owned the intellectual property in a jointly-developed product. The data set included terabytes of corporate archives spanning multiple years. The work evolved from data analysis into a court-filed expert report for a federal IP case.
What we did:
Expert report accepted by the court. This scope of work would typically require a team of analysts working several months.
A CNC equipment manufacturer needed a complete redesign of their machine controller. The existing design — built around two processors and 29 optoisolators — was expensive to manufacture, difficult to maintain, and couldn’t support the wireless control or expandability the company wanted. Working closely with the client’s lead engineer, the engagement spanned seven years: from initial research and prototyping through multiple PCB revisions, firmware development, and production documentation for volumes of 5,000–10,000 units per year.
What we did:
Helped deliver a production-ready controller platform that replaced the legacy hardware with a modern, wireless-capable design supporting a full accessory ecosystem — work spanning component research, schematic capture, PCB layout, firmware, power supply testing, and manufacturing documentation.
PaOS is an ongoing proprietary research project: a 64-bit UEFI bare-metal operating system written in pure NASM assembly, developed through a continuous AI-directed workflow. It's the proof point for what solo firmware engineering looks like when you know how to orchestrate modern AI development tools on a real problem at real scale.
What the project demonstrates:
The workflow: Peter defines architecture, target behavior, and test criteria. Claude Code Max writes the assembly and runs the QEMU regression suite. A deploy pipeline pushes new builds to three bare-metal targets automatically and captures serial output to verify the code actually boots on real hardware (QEMU is necessary but not sufficient). Peter reviews outputs, iterates on anything that fails bare-metal verification, and tags a release only when all targets pass. Engineering judgment stays with Peter; the AI handles implementation at a velocity that wouldn't be feasible otherwise.
100K+ lines of working assembly across 370+ tagged releases, running on three different bare-metal targets. A single developer shipping production-quality firmware at a velocity that used to require a small embedded systems team — because the AI-directed workflow makes it feasible. The same workflow translates directly to client firmware, kernel-driver, and deep systems engineering projects.
Deep technical expertise and rigorous methodology, delivering thorough results efficiently.
Gransee Engineering is a solo technical consulting practice founded by Peter Gransee and based in Phoenix, Arizona. We serve clients nationwide.
Peter brings 25 years of hands-on technical experience across software engineering, Linux systems, data analysis, infrastructure, and AI/ML. He's built and run 6 businesses — including a flashlight company that grew to $2M+ in sales and 11 employees — and has worked with everything from embedded firmware to enterprise cloud platforms.
Modern analytical tools — including custom search indexes, automated quality checks, and scripted analysis pipelines — enhance the work, but they don't replace expertise. Every conclusion is reviewed and validated by Peter personally. That means faster turnaround, lower costs, and direct access to the person actually doing the work.
Every engagement includes a confidentiality agreement. Your data stays secure, and you always know exactly how AI tools are being used in your project.
No minimums, no hidden fees, no per-GB charges. You know exactly what you're paying for.
| Service | Hourly Rate |
|---|---|
| Document review & analysis | $200/hr |
| Software engineering & automation | $200/hr |
| Source code forensics | $225/hr |
| Expert report preparation | $225/hr |
| Technical due diligence | $250/hr |
| Expert testimony / deposition | $350/hr |
Billed in 30-minute increments. AI compute costs itemized separately. Best for ongoing or exploratory work.
Fixed fee for well-defined scope. 50% upfront, 50% on delivery. Change orders for scope expansion. Best for due diligence and audits.
Monthly retainer for ongoing access at a discounted rate (10-15% off). Best for law firms and businesses with recurring technical needs.
Describe what you need and we'll get back to you within one business day. Initial 30-minute consultations are always free.