Melissa Winblood
Founder, CEO & Principal Consultant — Counsel and Code, LLC
The Advisor Who Bridges Both Worlds
Melissa Winblood is an attorney* with 35 years of experience in criminal, civil, administrative, and appellate law — and the founder of Counsel and Code, LLC, the advisory firm she built to bridge the gap between legal practice and artificial intelligence.
That gap is real, and it matters. There is no shortage of technology professionals who can implement AI tools. There is a significant shortage of people who can do it from inside a genuine understanding of how legal work happens — the workflows, the client relationships, the billing economics, and the professional responsibilities that make law firms fundamentally different from every other business. Melissa is that rare person.
After 35 years of practice, Melissa pursued and earned two of the most rigorous AI credentials available: the Harvard Data Science Initiative Agentic AI Intensive and the University of Texas McCombs Post-Graduate Program in AI and Machine Learning. During those programs, she did not study AI in the abstract. She designed, built, and deployed agentic AI workflows. The quality of her work was recognized publicly — her workflow design was featured at the Harvard HDSI Agentic AI Intensive closing celebration.
Melissa also serves as a contributing editor for The AI Innovator, where she writes for an audience of practitioners and technologists on the frontier of machine intelligence and its implications for legal practice.
*Counsel and Code, LLC provides business and strategic advisory services only and does not provide legal services, legal advice, or legal representation.
Agentic AI Intensive Program — Certificate Earned, December 2025
Workflow design featured at the program's closing celebration
Post-Graduate Program in AI and Machine Learning: Business Applications — Certificate Earned, October 2025 — GPA 4.19
35 Years of Practice — Criminal, Civil, Administrative & Appellate Law
The AI Innovator — theaiinnovator.com
Counsel and Code, LLC — Strategic AI Advisory for Law Firms
Featured at the Closing Celebration
The Harvard Data Science Initiative Agentic AI Intensive is not a certificate program that rewards completion. It rewards quality. At the program's closing celebration, Melissa's agentic AI workflow design was selected for recognition — a distinction that reflects both the rigor of what she built and the practical applicability of the AGENT Framework* to real legal practice challenges.
The clip at right is from that closing celebration, featuring commentary from Dirk Hofmann (DAIN Studios and Harvard Data Science Review), Stephanie Dick (Harvard Data Science Review), and Vinitra Swamy (Scholé).
Harvard Data Science Initiative — Agentic AI Intensive Closing Celebration
The AGENT Framework*
Every Counsel and Code engagement that involves agentic AI workflow design is built on the AGENT Framework* — developed through the Harvard HDSI Agentic AI Intensive in partnership with DAIN Studios, and applied by Melissa to the specific operational reality of legal practice.
The framework is not a checklist. It is a structured methodology for understanding work as it exists today, defining what success actually looks like, designing an agentic AI solution, mapping how humans and AI agents work together in the redesigned workflow, and tracking value against measurable targets.
For law firms, this discipline matters. Agentic AI solutions that are not designed around how legal work actually happens — the matter economics, the supervision requirements, the client relationships — create new problems faster than they solve old ones. The AGENT Framework* ensures that does not happen.
"Where agentic AI solutions require build-out, Counsel and Code designs the solution and refers implementation to experienced, trusted technical partners. You receive a clear, practice-informed design — and the right people to build it."
Audit the Workflow
Understand how work is actually done today — not how it is supposed to be done, but how it happens in practice. In a law firm, this means understanding the matter workflow from intake through resolution, where time is spent, where errors occur, and where human judgment is truly required.
Gauge the Workflow
Reduce the target process to its essential desired outcome. What does success look like — in measurable, specific terms? In legal practice, this step cuts through the complexity of how work is described and identifies what actually needs to happen for the client and the firm.
Engineer the Workflow
Ideate agentic AI solutions and aim to build an early prototype. This is where the redesign happens — which steps can be handled by an AI agent, which require human judgment, and how the agentic solution maps to the firm's tools, risk tolerance, and operational capacity.
Navigate the Workflow
Map out the human-agent relationship in the new workflow. For law firms, this step is particularly critical — defining exactly where attorney judgment, client interaction, and professional responsibility obligations require human presence in the redesigned process.
Track the Workflow
Set target outcomes and track value consistently. Adoption, cycle time, output quality, and practice efficiency are measured against the baselines established in the Gauge step — creating the feedback loop that sustains improvement and demonstrates ROI.