Alexios vdSK — Associate General Counsel

Alexios vdSK — Associate General Counsel · LegalQuants

About

I am Associate General Counsel at Masdar, one of the world's largest renewable energy groups, based in Abu Dhabi. Before Masdar, I was General Counsel of Emirates Global Aluminium's Africa platform, where I supported business continuity through a military coup d’Etat and led the first and only ASI mining certification in Africa. I began my career in international arbitration at Shearman & Sterling (now AOShearman), while running, at the same time, my own private criminal law practice, in Paris. My legal background is a combination of civil and common law (Oxford, Paris-Panthéon-Assas). I am an active registered attorney with the Paris Bar (authorized to practice in-house, by exception) and a Board Secretary certified by the Dubai Financial Market. I am also an alumnus of the Global AI Leadership Program of Mohamed bin Zayed University of Artificial Intelligence and hold Anthropic's proctored AI architect certifications. On the technology side, I have been leading the digital transformation and upskiling of Legal at Masdar, with data structuring, weekly training meetings, playbooks, bespoke agents, more than 20 deployed workflows, and third party software solutions. I have been working with automations since way before the AI hype. On AI, my approach is to focus on unlearning, and re-wiring operating models and strategy to take into account what AI can do today, while keeping a very skeptical perspective on how AI is used in the legal field, in particular from a professional secrecy and privilege perspective. I contributed to building three legal plugins released with OpenAI’s “Astra for Law” / ChatGPT for Entreprise (LegalQuants plugins). I also created a second brain for Le Cercle Montesquieu (the association of the GCs and CLOs of the biggest French companies) and lead a monthly workshop for my peers there. I am also a paid mentor at the LegalQuants leadership programme (the Residency) where I mentor senior executives and partners to use code and AI in their legal practice, with a focus on local and air-gapped AI whenever feasible.

Selected work

Delegation of Authority Assistantflagship

A delegation of authority assistant, built in December 2025 and deployed in production in January 2026. A Copilot Studio agent built on a neuro-symbolic path. It will “cross-examine” the user and will not give an answer until it has the right information to fit an activity or document in one of the authorized approval paths. Deployed in production, reducing by 80% routine delegation of authority questions from the business. Internal tool, no access available. Demo on demand.

Copilot Studio Agent

BoardGym

Training for Board members. Deployed.

Web App

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/decompose

A lot of "agents" or "multi-agent" projects are BS. I keep seeing people (including myself) split a simple job across five agents just to do something "sophisticated" with Al. I discovered that a Stanford scientist named H. Penny Nii worked this out in a two-part article in the AI MAGAZINE... in 1986. I am not an Al scientist, but I read her work with the pedagogical help of my favorite open source reasoning model K2 Think V2. My understanding is that she insist on two things: - You need to split the work into genuinely independent specialists that never reach into each other's reasoning (they meet only on a shared board) - and before any of that, you need to decide whether your problem even suits this. That latter point is what many people now seem to be skipping. So, just to help us all suck a little bit less at building, I tried to use Claude Code to turn Nii's framework into a small Claude Code command called /decompose. Here is how it works: 1. You point your Claude Code to the GitHub repository (below) and ask Claude to explain it to you and install it. 2. Re-start Claude and use the command /decompose (you will now have it for future builds). 3. You describe what you want to build and the system walks you through the decision-making process in plain language, one question at a time. 4. Its first instinct is to talk you out of over-engineering: if your problem is really one job, it says so and stops. If it genuinely splits, it will help you with blueprints.

Claude Code CommandOpen Source

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Noroboto

The Noroboto family of attacks, originally developed by Drew Miller of Tritium Legal and the LQ RED TEAM, rewrites the TrueType glyph-cmap of an embedded font so that ASCII codepoints in the content stream map to glyphs for arbitrary other characters. The visible page renders correctly because the font's cmap draws the intended glyph; the extracted text yields Private Use Area noise because the codepoints in the underlying text are PUA values. The original public release applied to DOCX documents only. I added a PDF extension to Noroboto which consists of a single new code path in noroboto.py that, given an arbitrary input PDF, obfuscates it. You can try it here: https://noroboto.io. Only total-document obfuscation is shipped publicly. Surgical (partial-targeted) and replacement variants are deliberately withheld for ethical reasons, until a mitigation system is broadly deployed at the ingestion layer.

Security / AI Pipeline Vulnerability

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/before-ai

Stop bolting AI on top of old processes. This is a command that asks you the right questions before you design your AI workflows.

Agent SkillClaude Code commandOpen Source

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BoardAgent

BoardAgent is the board portal of the future. It has no user interface. It accepts no PDFs, no Word documents, no PowerPoints. It only accepts machine-readable formats. A human cannot log in to the board portal. Only an agent can. In fact, BoardAgent doesn't even have AI, because BoardAgent is a governance protocol for agents managing board workflows. Each stakeholder (director, secretary, management, observers) talks to their own personal AI agent, whichever one they already use, and the agent talks to the board portal over MCP. They can then ask their agent to present the materials in whichever form they like (including PowerPoint, if they are stuck in 2020). The board portal itself is a server of record: charter, seats, permissions, machine-readable papers, questions, votes, minutes, and a signed hash chain of everything that happened. Today's board portals are document viewers with permissions and a black-box chatbot bolted on top. Board members are using an AI that they do not control or govern. A governance heresy, and a real risk for board members. I think that in a few years (not that far away from now), they will be what this is: a protocol your own agent speaks, with the governance enforced on the server side where no model can talk its way past it. This is, in my view, what "AI-native" means.

MCP Server

Redfern Schedule Skill

A skill for the document-production phase of international arbitration within LegalQuant's LQAI. It builds and maintains the Redfern Schedule, the request-to-produce table at the heart of disclosure in arbitration, working from one shared artefact for all three roles: the requesting party drafting requests, the producing party stating objections, and the tribunal preparing to rule. It runs each request through the IBA Rules on the Taking of Evidence (2020) Article 3.3 admissibility checklist, maps objections to the Article 9.2 grounds, and raises a content-based political-sensitivity prompt for State and state-owned parties. Every citation is verified against its official source, and it produces a private flags memo telling you where your own requests or objections are weak before you serve them. It enforces form. The legal calls stay with the human.

Agent SkillLQAI SkillOpen Source

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InterviewGym

Preparing for an interview? Try InterviewGym for free. Check your ego at the door though.

Web App

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Dynamic Delegation of Authority System

Governance infrastructure has a dirty secret: the Delegation of Authority table is a legal fiction dressed up as a control framework. It tells you who should act, but not who should act given the risk on the table today. DDAS (Dynamic Delegation of Authority System) was designed as a thesis that we can replace static approval matrices with a live risk-scoring model. Every transaction, agent action, or governance decision should be evaluated against weighted Governance Units, calibrated by value, novelty, reversibility, and institutional exposure. The result is a threshold that moves with the risk. Built as a thesis only, showing that governance is not necessarily equal to bureaucracy and that it can be handled in a manner friendly to the business. Feasibility is being assessed with software engineers.

Proof of concept for Businesses and DevsOpen Source

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Insights

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