If your organisation is trying to use artificial intelligence safely, responsibly or commercially, a consultation with David Coleman can help turn vague concern into a practical plan. The aim is simple: identify where AI creates legal, governance, cyber, operational or reputational risk, then decide what should be done next.
Book a consultation with David Coleman.
About David Coleman
David Coleman is the founder of Super AI Safety and a principal solicitor and director at Lawyers and Legal Services Sydney Pty Limited. Based in the Greater Sydney Area, David works at the intersection of law, artificial intelligence, cybersecurity, governance and organisational risk. His public LinkedIn profile describes services including legal consulting, cybersecurity, corporate training and notarial services.
David brings a lawyer’s attention to accountability and evidence together with a practical interest in how AI systems are actually built, deployed and used. His LinkedIn profile records Stanford University machine learning system design coursework, including machine learning algorithms, logistic regression and artificial neural networks, as well as an Introduction to Auditing AI Systems credential and an IBM Cybersecurity Professional Certificate.
That combination is useful because AI risk rarely sits inside one neat category. A single AI project can raise questions about privacy, cybersecurity, procurement, staff use, automated decision-making, model reliability, vendor terms, intellectual property, explainability, regulatory disclosure and board oversight. David’s work focuses on translating those concerns into practical controls, policies and decisions.
What a consultation can cover
A consultation can be tailored to the organisation’s stage of AI adoption. Some clients are just starting and need a practical AI governance baseline. Others are already using AI tools and need to understand whether their policies, contracts, training and technical controls are adequate. Some need help reviewing a vendor, preparing a board briefing, responding to an incident, or building an AI governance framework that can stand up to scrutiny.
Common consultation topics include:
- AI governance for boards, executives and legal teams
- Responsible AI policies and staff-use rules
- AI vendor risk, contract review and procurement questions
- Privacy, confidentiality and data-protection risks in AI systems
- Cybersecurity risks from AI tools, agents and integrations
- Automated decision-making, human oversight and accountability
- AI incident response and readiness planning
- AI safety controls for professional services, financial services, healthcare, education and SaaS companies
- Board briefings on AI risk, regulation and practical implementation
Who should book
A consultation is most useful for organisations that need a practical answer rather than a generic AI presentation. This includes law firms, financial services businesses, healthcare providers, schools and universities, SaaS companies, professional services firms, company directors, founders and executives who are responsible for AI adoption.
It is also useful for teams that feel caught between enthusiasm and caution. AI can improve productivity, decision support, customer service, analysis and automation, but it can also introduce new risks if staff paste sensitive data into public tools, rely on unverified outputs, connect agents to business systems without safeguards, or buy AI products without understanding how data is used.
The point of the consultation is not to slow AI adoption for its own sake. The point is to make adoption safer, clearer and more defensible.
What you will get from the session
A good AI consultation should end with a clearer map of the issue. Depending on the topic, the session may identify priority risks, key decisions, missing controls, urgent contract questions, governance gaps, possible next steps and documents that should be created or reviewed.
For many organisations, the most valuable result is a sharper sense of what matters now and what can wait. Not every AI risk needs a major project. Some need a short policy, a better approval process, a vendor questionnaire, a staff training note, a board paper, an incident playbook or a targeted review of one high-risk use case. Other issues may require deeper work, especially where AI affects customers, employment, regulated services, personal information or security-critical systems.
How to prepare
You do not need to have a perfect brief before booking. If possible, bring a short description of the AI tool, project, vendor, risk or decision you want to discuss. Useful context includes who will use the system, what data it touches, whether it affects customers or employees, whether outputs will be reviewed by humans, and what deadline or decision is driving the question.
If the issue involves an AI vendor, helpful materials may include the vendor’s security page, privacy terms, data-processing terms, model-training statements, product description, procurement notes or draft contract. If the issue involves internal AI use, helpful materials may include current policies, examples of staff use, approved tools, risk classifications, incident history or board concerns.
Please do not upload or send confidential, privileged, personal, security-sensitive or client material unless there is a proper engagement structure in place and you are comfortable doing so. A consultation can usually begin with a high-level description.
Book a consultation
The fastest way to start is to choose a time using the booking link below. If the issue is urgent, note that in the booking details so the session can focus on triage and next steps.
Book a consultation with David Coleman.
Further profile
You can also view David’s public LinkedIn profile here: David Coleman on LinkedIn.