AI ADVISORY
Boards · Founders · General Counsel · Risk & Governance Leaders
When AI influences a decision, someone is still accountable.
Companies do not fail at AI because they lack tools. They fail because accountability erodes as decisions accelerate. AI already influences hiring, pricing, customer interactions, operational decisions, and risk. The smartest time to build the guardrails is while you are still deciding whether and how to use it, before the decisions scale or turn opaque.
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We are lawyers, former Fortune 500 leaders, and AI practitioners. We help organizations build oversight around AI-enabled decisions, so responsibility stays visible and decisions stay defensible.
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Request an AI advisory conversationMost AI advice comes from one direction. Ours comes from several.
Most AI advisors come from technology. Most lawyers approach AI from law. Most leadership consultants approach it from people. Our work sits across all three, which is why we see the legal, human, and accountability questions that a single vantage point misses.
Technology changes the environment. People remain responsible for the decisions.
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Each engagement is scoped to a concrete outcome rather than a generic governance program. The best time to bring us in is while you are still deciding whether and how to use AI, though we join at any stage. Our assessments stand on their own: you own the findings and decide who builds from them.
- Identify where AI already influences decisions, directly or indirectly
- Assess legal, operational, ethical, and reputational risk by use case
- Evaluate readiness to oversee AI-enabled decisions
- Clarify which decisions require human review, override, or escalation
- Map AI-enabled workflows to decision rights and responsibility
- Find where automation increases error, bias, or diffusion of accountability
- Design approval cues, human-in-the-loop structures, and override points
- Review AI vendor contracts and platform terms through a governance and risk lens
- Find gaps in accountability, audit rights, data use, model updates, and liability
- Pressure-test vendor representations against real workflow and exposure
- Support legal and procurement with issue-spotting and negotiation priorities
We embed a senior advisor who fits the work, whether the engagement calls for legal and governance judgment, AI implementation and automation, or organizational change. That advisor provides ongoing strategic oversight of AI adoption, governance, vendor decisions, and decision architecture, scoped to your stage, with senior availability when questions arise that the internal team cannot answer alone.
- Build the confidence to ask informed, non-technical questions
- Understand where AI tools fail, drift, or mislead
- Strengthen oversight without slowing execution
- Guidance during vendor selection, rollout, scale, or regulatory scrutiny
- Decision support during uncertainty or incident response
- Periodic reassessment as tools, vendors, and risk profiles evolve
- Build the automation, integrations, and human-in-the-loop checkpoints identified during workflow and decision-ownership mapping
- Implement AI tools inside existing systems rather than adding new ones your team has to learn from scratch
- Test and refine the workflow against how the work actually gets done, not how it was designed on paper
- Hand off a system your team can run, adjust, and scale without starting over
- Design and deliver AI training scoped to how your team actually works, not generic tool tutorials
- Build adoption pathways for different roles, skill levels, and comfort with new technology
- Translate governance and policy decisions into practices people can follow day to day
- Close the gap between an AI rollout leadership approved and the AI use actually happening on the ground
- Align leaders and teams across legal, compliance, business, technology, and operational functions
- Build structured approaches to change that are practical, measurable, and sustainable
- Support the people affected by change through AI readiness training and executive coaching
ABOUT THE TEAM
One team across law, AI, and change.Â
Our team brings together technology law, frontier-model AI expertise, enterprise implementation, and organizational change. That range is why we see the legal, human, and accountability questions a single vantage point misses, and why we can help you act on them, not just name them.
Marcia Narine Weldon
A lawyer, former Fortune 500 executive, and law professor, Marcia serves as co-lead for law on a team that trains and evaluates a frontier large language model, retained through a global technology company's AI research and model-development work to improve how the model reasons about law, across employment, privacy, corporate governance, regulatory compliance, commercial contracts, investigations, and disputes. Her work there spans training data and evaluation-rubric design, quality assurance and RLHF-style workflows, model-output and vendor-annotation review, and serving on the legal audit team that checks task design and outputs for accuracy and real-world usefulness. She works inside the systems she helps clients govern, which is why our advice reflects how legal judgment actually works rather than how a model performs on a benchmark.
Angella P. Bittencourt
Spent more than twenty-five years as a technology lawyer, including senior in-house legal roles at major technology companies, advising on emerging technology, data protection, privacy, compliance, and corporate policy. She helps organizations think through how AI affects their people, policies, and processes, and how to close the gap between a decision made at the top and the experience of the people expected to live with it.
Trudy-Ann Armand
Leads AI implementation, automation, and adoption. She brings enterprise experience from learning and technology roles at an international airline and a large healthcare system, a graduate background in training and performance improvement, and years building AI-supported tools and running businesses of her own. She turns approved AI strategy into the workflows, automations, and training a team can actually use.
Together, the team covers the full arc: the governance and legal judgment to decide what is safe, the strategy to align people and policy around it, and the implementation to build and adopt it in practice.
What founders, boards, and executives are trying to answer.
What does sound AI governance look like for us?
How do we help our people build AI skills and adopt these tools with confidence instead of fear?
What governance needs to exist before AI use scales?
How should accountability be assigned when AI influences a decision?
What risks should leadership be monitoring?
How do we balance innovation with oversight?
What does meaningful human review actually look like?
What responsibilities remain uniquely human?
The answers are rarely in the technology. They take leadership judgment, governance discipline, and a realistic view of how people and systems actually behave.
Leaders who retain responsibility for outcomes.
You do not need technical expertise in AI. You need to be accountable for what your organization does with it.
Board members and advisory boards
Founders, startups, and executive leadership teams
General counsel, compliance, and risk leaders
Investors, accelerators, and mission-driven organizations deploying AI
Organizations in regulated or high-consequence environments
Founders building with AI carry risk earlier than they expect.
We advise organizations adopting AI and founders building AI-enabled products. For founders whose product is the AI itself, legal and regulatory exposure shows up earlier than expected, often before there is a legal team to catch it.
We help early-stage teams see these risks early and build lightweight governance that protects momentum without enterprise bureaucracy. This is advisory and risk guidance, not legal representation, even when the risks are legal in nature, and part of the value is flagging what needs formal legal review.
On the record on AI and accountability.
NYC Bar Association Podcast, February 2026, Synthetic Employees and the Future of Work. On AI governance, the employment-law implications of deploying AI agents, and multi-stakeholder governance. Listen.
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Ethics at the Edge: AI, Integrity, and Innovation, Empowered by AI, The SLAI Effect, 2025. On ethical AI governance and the human judgment layer responsible innovation requires. Watch.
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Contract Audit: AI Edition, Law Insider by SimpleDocs, 2024. On AI in contract review and the accountability gaps when AI-assisted decisions outrun human oversight. Watch.
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AI Contracts Explained, Episode 30, Training In-House Lawyers in This AI World, with Laura Frederick. On preparing in-house teams for AI governance and contract risk. View.
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Writing includes "Establishing a Future-Proof Framework for AI Regulation" (2024) and a contribution to a forthcoming law school textbook on artificial intelligence.
A focused engagement usually starts with three questions.Â
Where is AI already touching decisions?
Who owns those decisions?
What would happen if the output was wrong, biased, challenged, leaked, or misunderstood?
Illuminating Wisdom® LLC is an advisory, coaching, and education firm. Its services are not legal advice and do not create an attorney-client relationship. Where legal services are appropriate, they are provided separately through Lucid Law, P.A., subject to conflicts, scope, jurisdiction, and a separate engagement agreement.