Most companies buy their employees ChatGPT subscriptions and think they have "implemented AI." The result? Teams use powerful statistical models to write polite emails, while the true automation potential remains untouched. Treating GenAI as just a better search engine is a waste of budget and time.

In this training, we cut through the theoretical hype. We focus on hard operational skills. We teach you how to build a predictable and effective AI-powered workflow to cut the time spent on routine tasks by 40–60%, all while maintaining full control over the quality of the outputs.

Key elements of the training:

• LLM Mechanics: Why AI makes things up (hallucinates) and exactly how predictive models work. Understanding the limitations of the technology is the first step to eliminating business errors.

• Task triage: A pragmatic assessment framework. You will learn how to flawlessly identify processes that should be automated immediately, and those you should keep AI far away from (risk vs. reward).

• Behavioral prompting: No more generic answers and corporate speak. How to leverage psychology and natural language engineering to force models into precise, expert-level reasoning.

• Workflow integration: How to stop chatting with AI on an ad-hoc basis and start building repeatable processes (e.g., Custom GPTs) strictly tailored to the specific needs of your department. 

Who is this training for?
For managers, team leaders, heads of operations, and specialists who manage processes. For people who don't want to be replaced by AI, but instead want to use AI to replace inefficient processes in their organizations.

Do you associate cybersecurity with complex technology and massive costs? Most managers prefer not to "touch" the subject, relying entirely on the IT department and hoping a crisis never hits. This training flips that mindset. I translate technical jargon into plain business and risk management language. You will learn what risks an organization faces every day, how to prepare for real threats like ransomware, brute-force attacks, keyloggers, stealers, and remote code execution, and exactly what to do step-by-step when an incident occurs. You will walk away with a concrete checklist on where to start building cybersecurity in your organization.

• The biggest cybersecurity myths in SMEs

• Overview of key threats and attack vectors

• The foundations of "digital hygiene" in the company

• Cybersecurity regulations in practice: What you need to know?

• Anatomy of an attack: How to lock down your company in 30 minutes

• Employees and their role in ensuring cybersecurity

• Implementing cybersecurity in the organization

Who is this training for?

For business owners, board members, and non-technical managers who feel they need to "do something about cybersecurity" but don't know where to start.

Most small law firms believe that "IT security" boils down to installing an antivirus program and buying cloud storage space from a popular provider. The result? Sensitive client data, attorney-client privilege, and critical litigation strategies are unencrypted and sent in plain text via free messaging apps. Attackers know full well that you are a treasure trove of invaluable information, yet you rarely have corporate defense budgets. Treating cybersecurity as an "on-call IT guy's problem" is, in today's environment, a direct route to lost reputation and disciplinary liability.

In this workshop, we cut through the theoretical jargon. Zero academic discussions about advanced attacks on state critical infrastructure. We focus on hard, pragmatic defensive skills. We teach you how to build systemic resilience for a fraction of a large corporation's budget, breaking down the most common attack vectors targeting lawyers to their fundamental mechanisms. Using concrete case studies from our security tests, I will show you how a single typo in an email address can cost you everything.

• Social engineering and AI Phishing: Why the human is always the weakest link. Understanding the anatomy of modern Business Email Compromise (BEC) attacks - such as fraudulent transfer instructions or bank account spoofing. You will see how to verify identity in a world where deepfakes and automated AI voice cloning are standard tools in a cybercriminal's arsenal.

• Practical cryptography: Ending the illusion of security. I will show you how to properly, quickly, and affordably encrypt communications, hard drives, and USB drives. You will learn the fundamental difference between cloud services that merely "promise" privacy and End-to-End Encryption (E2EE) architecture, where even the server operator mathematically has no way of reading your case files.

• The digital footprint of lawyers and clients (OSINT/SOCMINT): You are profiled based on what you leave online. Through live demonstrations, you will see how open-source intelligence tools allow attackers to reconstruct a law firm's contact network, hidden connections, and work schedules using publicly available, seemingly innocent scraps of data from social media.

• Essential service security: How to securely implement key defensive mechanisms - ranging from hardware security keys to smart cloud configuration - without paralyzing day-to-day operations.

• The (un)safety of LegalTech: Where the limits of trust in LegalTech tools lie, and how to verify software security to avoid falling victim to supply chain attacks.

• Control as the foundation of trust:: When red flags should go off, and how to systematically respond to an incident to minimize reputational and financial damage.

Who is this training for?

For managing partners, attorneys, legal counsel, legal trainees, as well as administrative assistants and support staff. For anyone who realizes that protecting professional secrecy and personal data in 2026 requires more than a locked safe, and who wants to genuinely safeguard their clients' interests.

Most lawyers today treat generative AI like a glorified search engine or avoid it entirely out of fear of violating professional secrecy. The real value of AI in the legal sector isn't writing generic emails, but routine automation while maintaining full risk control.

In this workshop we focus exclusively on practical workflow architecture that allows you to deliver projects faster, safer, and error-free. I teach you how to build your own secure tech stack.

What you will learn: 

• Legal triage: How to break down legal processes into fundamental components and flawlessly identify areas ready for automation (and those AI shouldn't touch).

• Behavioral prompting: How to engineer prompts to force models into rigorous legal reasoning, eliminating hallucinations and corporate buzzwords.

• Custom bots & iteration: How to configure specialized assistants from scratch (e.g., for analyzing liquidated damages clauses or creating redlines in SaaS contracts).

• Local language models: How to run a model on your own hardware offline to securely process highly confidential data (NDAs, IP, personal data) without sending it to an external cloud.

• Compliance: How to structure AI workflows to pass security audits smoothly, protect clients' IP, and uphold attorney-client privilege.

Who is this training for?

For in-house counsel, law firm attorneys, partners, compliance officers, and all legal industry professionals. For those who want to stop being a bottleneck in business and start leveraging technology as a strategic lever.

Anyone who has managed a software implementation knows the feeling: once the contract is signed, control slips away. The vendor stops being responsive, the budget swells with unexpected "changes," and key service level agreement (SLA) provisions turn out to be useless. This training is your playbook for assertive IT vendor management. I will teach you how to read contracts and find actionable tools within them to enforce your rights. You will learn how to effectively monitor SLAs, manage scope and budget to avoid being hit with hidden costs, and navigate difficult conversations to turn disputes into collaborative solutions. You will gain the confidence and tactical toolkit needed to stop being just another "client" and become a true project partner.

• Anatomy of an IT contract: What truly matters?

• Project control mechanisms: Acceptance/sign-offs, steering committees, and reporting.

• How to read "non-negotiable" terms and contracts to spot critical pitfalls.

• How to effectively manage issue escalation.

• How to prepare to switch vendors without paralyzing your business or losing critical data (even if the vendor makes things difficult).

• Psychology of vendor relationships: How to build partnership and assertiveness.

Who is this training for?

For project managers, product owners, department heads, and anyone who collaborates daily with external software vendors, implementation agencies, or maintenance providers.

You are paying for dozens of SaaS subscriptions you don't even know exist. Different teams buy the same tools, licenses belonging to former employees are never revoked, and free trials automatically convert into expensive paid plans. It is a silent killer of your budget and a source of serious security risks.

• What "Shadow IT" is and how to calculate its hidden costs.

• Practical audit techniques: From surveys to analyzing corporate credit card statements.

• Cost optimization: Vendor negotiations and tool consolidation.

• Legal risks of "Shadow IT."

• Building and implementing a software policy in your organization.

Who is this training for?

For CFOs, operations managers, and IT heads who have a gut feeling that their company is overpaying for software, but don't know how to measure it or where to look for savings.

Operating in the global AI sector without a regulatory roadmap isn't just a risk of financial penalties - it is primarily the risk of having your product pulled from the market and having to rebuild your architecture from scratch. Today, the EU AI Act, US and UK guidelines, and NIST frameworks are not a "legal problem." They are hard product requirements.

In this training, I teach how to implement "MVP Compliance" for AI systems. We translate complex legal requirements into the language of backlogs, development processes, and risk management so that regulations become your barrier to entry against competitors rather than a blocker for your business.

• Risk mapping & triage: How to flawlessly classify your system's risk under the EU AI Act and why this is the most critical decision before writing your first line of code.

• Global matrix (UE vs. USA/UK): An overview of key differences across markets. How to map OECD requirements, NIST AI RMF, and ISO standards (e.g., ISO 42001) into a single, cohesive system within your company.

• Data provenance & IP: Managing training data from GDPR and copyright perspectives. How to document Chain of Title so you don't tank your company's valuation during an investor audit.

• Technical documentation as a code: How to structure the process of creating technical documentation and conformity assessments without paralyzing engineering teams.

• AI governance framework: A step-by-step guide on structuring internal company processes (Human-in-the-loop, explainability) so accountability isn't diluted between executive board, legal, and IT.

Who is this training for?

For Product Managers (PMs), In-House Counsel, Compliance Officers, and C-Level executives (CEO/CTO) in technology companies. For decision-makers who must balance aggressive product growth with maintaining ironclad control over regulatory risk in global markets.