Two founders. No W-2 employees. We pull in who the engagement actually needs—so firms get depth without paying for a permanent bench they didn't ask for.
Managing Partner
Russell runs the front of the business: organizing the firm, sales leadership, professional services delivery, and account stewardship—the person most clients meet first when an engagement needs institutional trust in plain language.
He's also Founder and Principal of Byting Chipmunk—thirty-plus years scaling software and hardware teams while staying hands-on, with depth in platform engineering, AI-driven workflows, and technical strategy. He has led distributed teams of 20+ engineers. Licensed Professional Engineer (Ontario); B.Eng. (Electrical and Electronic Engineering), University of Auckland; certificate in mobile and web UX design (Algonquin College); 20+ granted U.S. patents in radio hardware and software.
Engagements span fintech, embedded systems, and SaaS—from early-stage companies to institutions including the Bank of Canada and Renesas. Example outcomes: deployment cycles cut from 10 weeks to three hours (fully automated) and hundreds of thousands of dollars a year in cloud and operations savings on programs he led. At Firm Leverage he keeps vendors, data handling, and supervision where partners and GCs actually approve them—not slid downstream after a friendly session.
What drew him to AI in law is what worries careful buyers: expensive bets with nobody in the room who has actually shipped what vendors promise.
On mandate: same direct speech, same bar where the yes actually counts.
LinkedIn →Russell is very skilled and helped us tremendously in reaching our goals at a time when our system transformation wasn't doing so well. His work contributes not only to the application level, but to the whole team to facilitate Best Practice and Big Picture workflows. Russell is a lovely addition to any team.
— Céline Jenkins, Project Manager, Bank of Canada
Founder & Chief Architect
Steve owns the quality bar: architecture, engineering, implementation, and coordinating other technical contributors—so delivery matches what was promised.
Thirty-plus years across semiconductor manufacturing, carrier-scale retail and mobile ecosystems, insurance operations, and SVOD billing. Same pattern: large systems, tight timelines, failure modes that show up on a P&L.
He stays through rollout long enough to learn what holds, then hands off with technical debt retired, not deferred—systems your people can run without him as a permanent dependency.
LinkedIn →From the firm side, the useful question is whether anyone on the hook is asking is this right? before spend and reputational risk lock in.
Most AI implementations fail because nobody with accountability asked that before the first line of code—or before the vendor contract.
We ask it first, design for an honest answer, and stay on the hook for delivery. When the work needs depth beyond what fits in-house, we bring in the right specialists. The accountability doesn't move.
Professional liability: we do not flash certificates on a marketing site. If you are vetting us like any other vendor, ask—coverage, limits, and effective dates belong in diligence and in written agreements, answered plainly. We will not claim coverage we do not carry.
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Every engagement starts with what's actually true about your situation—stack, risk, and politics—not a recycled roadmap.
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