Vincent Morin II

• Piloted the division's first operational generative AI deployment (Microsoft Copilot) to a 30-person cohort of directors, senior attorneys, and section chiefs — an executive-tier rollout inside a security-sensitive law enforcement environment, working alongside the CIO and Deputy CIO. Owned end-user enablement and change management across the lifecycle: training, communications, executive briefings, post-launch support, and the conversion of pilot participants into sustained adopters.
• Supported the CIO and Deputy CIO across the full AI deployment lifecycle — strategy origination, governance posture (acceptable-use policy, data-handling controls, vendor-risk partnership with Legal and Security), executive review cadence, and adoption tracking. Translated emerging AI regulation and federal acceptable-use guidance into operational policy.
• Designed and delivered role-based enablement programs spanning executive briefings for senior leadership, hands-on training for front-office staff, and post-launch coaching — a model now informing division-wide AI adoption planning.
• Stood up the Fraud Healthcare Data Fusion Center — a multi-agency data and AI platform coordinating the DOJ Criminal Division, FBI, HHS-OIG, CMS, and DEA on healthcare fraud detection. Announced alongside the largest national healthcare fraud takedown in DOJ history (324 defendants charged, $14.6B in alleged fraud, 50 federal districts, 12 State AG offices). Partnered with Automated Litigation Support engineers and cross-division leadership on data ingestion, classification, and analytical workflows.
• Led the division's first adoption of Oracle Cloud Infrastructure (OCI), partnering directly with the CIO on architecture decisions, migration sequencing, and platform strategy. Built engineering, governance, and procurement workstreams from a standing start.
• Directed recovery and successful rollout of an enterprise case management platform after two prior implementation attempts had failed; cited agency-wide as a model implementation. Re-baselined scope, governance, delivery cadence, and stakeholder engagement end-to-end.
• Designed predictive models for workforce growth and performance tracking using internal DOJ datasets — informing executive resource and staffing decisions at the division level.
• Engineered Oracle APEX applications with custom JavaScript and CSS front-ends, dynamic actions, and process automation — including the front-end workflows supporting the case management recovery and downstream user adoption.
• Manage four consultants across two contract engagements and lead a two-person data analytics team; own hiring, mentorship, performance management, professional development, and cross-contract resource allocation.
• Established and run the operating cadence connecting executive sponsors to delivery teams — quarterly executive reviews for ~20 senior stakeholders, bi-weekly working sessions across business units, and a one-month Scrum cycle for delivery teams.
• Trained 200+ end users across 16 sessions across program rollouts; authored rollout communications, user guidance documentation, executive briefings, and post-launch support material.
• Recipient of the Attorney General's Innovation Award and two Office of Administration Awards for platform modernization, AI adoption, and enterprise program impact.

An independent practice that has evolved from heritage research and asset restoration into applied AI and SaaS product work for legal-tech and small-business clients.

• Founder and operator of DOCM (docm.jacksonmorinco.com), launched 2026 — a SaaS document management and archive platform built for law firms and small businesses, with AI-driven text extraction and reading across images and documents. End-to-end: product, infrastructure, and operational architecture.
• Developed an ECPA regulatory classifier — an applied-AI pipeline that ingests web-accessible signal about target companies and classifies their posture against the Electronic Communications Privacy Act (Title I / Wiretap, Title II / Stored Communications, pen-register and trap-and-trace provisions). Built against the privacy due-diligence, compliance benchmarking, and litigation-prep workflows used by legal-tech and compliance buyers.
• Integrated AI across an active web property acquisition pipeline — LLM-based content and analysis with classical models for deal screening, valuation, and operational automation. Applied AI inside a working revenue operation rather than as a feature.
• Built and shipped customer-facing web properties using HTML, JavaScript, CSS, and modern front-end patterns, including the Jackson, Morin & Co. studio site and the resume page on which this CV is published. The site was designed and deployed end-to-end as a personal proof of capability.
• Maintain sustained, hands-on operational practice across the current generative-AI tooling stack: Anthropic Claude and Claude Code for production work, OpenAI for benchmarking and use-case comparison, multi-model orchestration and MCP integrations, agent and tool-use patterns, prompt engineering at production depth. Operate a local multi-model bench (Llama 3.1 70B, ComfyUI, custom agent tooling) for unbiased evaluation of current open models against real business problems.

• Restored and remastered 100+ historic maps, documents, and illustrations into archival digital assets — combining archival research, digital restoration, and color science.
• Built and operate an e-commerce storefront with 200+ sales and a 5-star rating across 40+ reviews; manage branding, production, and fulfillment end-to-end.
• Produce comprehensive family and property research portfolios for private clients — extensive primary-source research, archival synthesis, and document production.

A multi-entity consulting engagement working as a private contractor to a CTO and founding partner across three connected operating contexts — a venture capital firm (Urban-Us), its accelerator (Urban-X), and a co-founded portfolio startup (Perl Street). The firm contracted nearly all of its workforce outside the partner level; this role functioned as the partner's day-to-day operator across three concurrent priorities.

• Supported the CTO and founding partner on VC fundraising for Urban-Us — the venture capital vehicle providing capital to the Urban-X accelerator's portfolio companies.
• Ran investor pipeline operations, CRM, diligence orchestration, LP communications, and back-office program management through €80M+ in venture capital raised.
• Built and operated internal finance, legal, and performance reporting frameworks standardizing how the firm tracked deployment, performance, and operating cadence across the fund.

• Liaised directly with Urban-X accelerator startup founders across cleantech, infrastructure, climate, and urban-mobility ventures — serving as the operating partner's day-to-day point of contact during accelerator cycles.
• Advised founders on SaaS product strategy, product design, marketplace mechanics, implementation roadmaps, contracts, go-to-market, and operational scaling — spanning early product validation through post-accelerator graduation.
• Translated CTO-level technical strategy into founder-actionable guidance; supported portfolio-wide diligence, performance review, and operating discipline across the cohort.

• Joined the CTO and another founding partner as a contracted founding operator on Perl Street — a SaaS marketplace and white-glove service connecting institutional investors with hardware-based startups through non-dilutive, debt-based financing vehicles.
• Helped stand up the company end-to-end — entity formation, founding team build-out, product strategy, MVP scoping and launch, investor and customer pipeline, contracts, legal, finance, and operational cadence.
• Oversaw staffing, distributed engineering and product coordination, and MVP launch for the marketplace platform; ran founder communications and external partner engagement across both sides of the marketplace.
• Designed the marketplace mechanics and onboarding flows for both sides — investor due diligence, startup qualification, deal-screening criteria, and the white-glove transaction-support layer that differentiated the offering from traditional infrastructure-debt providers.

• Led cross-functional teams of engineers, designers, and product staff building SaaS products from scratch for enterprise clients — owned the operating mechanism end-to-end: sprint cadence, roadmap planning, client workshops, and post-launch iteration.
• Owned SaaS product delivery across multiple concurrent client engagements: discovery, scoping, agile delivery, QA, deployment, and post-launch iteration.
• Coordinated the firm's internal research unit; contributed to published work on tensor-based backpropagation (Cornell collaboration).

• Led historical documentation and preservation strategy for federally funded infrastructure projects under Section 106 of the National Historic Preservation Act — multidisciplinary research synthesis for environmental, engineering, and public-review purposes.
• Secured National Register of Historic Places eligibility for a Pittsburgh WWII-era housing community; authored all supporting documentation and presentation materials.
• First professional role; the regulatory-research-and-documentation throughline of this work runs directly into the regulatory-classification, document-intelligence, and structured-archival work that defines the practice today.

• Greenfield rollout of generative AI to an executive-tier audience of 30 — directors, senior attorneys, section chiefs — inside a security-sensitive federal environment. Lifecycle ownership across end-user enablement and change management; partnership with the CIO and Deputy CIO on strategy, acceptable-use policy, vendor risk, and adoption tracking.

• Stood up a cross-agency data and AI platform coordinating DOJ Criminal Division, FBI, HHS-OIG, CMS, and DEA on healthcare fraud detection — including data ingestion, classification, and analytical workflows. Publicly announced alongside the largest national healthcare fraud takedown in DOJ history (324 defendants, $14.6B in alleged fraud, 50 federal districts, 12 State AG offices).

• Led the division's first adoption of Oracle Cloud Infrastructure, partnering directly with the CIO on architecture, migration sequencing, and platform strategy. Built engineering, governance, and procurement workstreams from a standing start — a stand-up-new-function pattern across the full operational lifecycle.

• Founded and operate a SaaS document management and archive platform built for law firms and small businesses, with AI-driven text extraction and reading across images and documents. Sole operator across product, infrastructure, and operational architecture.

• Independent applied-AI build classifying target-company posture against the Electronic Communications Privacy Act. Sits at the intersection of regulatory framework translation, web data ingestion, and LLM-based classification — built for privacy due-diligence, compliance benchmarking, and litigation-prep workflows.

• Joined the CTO and another founding partner as a contracted founding operator on Perl Street — a marketplace SaaS connecting institutional investors with hardware-based startups via non-dilutive, debt-based vehicles. Helped stand up the company end-to-end: entity, team, product, MVP, marketplace mechanics, investor and startup pipeline, and operations.

• Directed full recovery and successful rollout of an enterprise case management platform that had failed twice prior. Re-baselined scope, governance, delivery cadence, and stakeholder engagement end-to-end. Cited agency-wide as a model implementation.