Istanbul 2026
Full Program
June 17-20, 2026 Theme: Governing Artificial Intelligence Under Regulatory Fragmentation
Evening Prior to Official Program: June 17, 2026Welcoming Reception & Networking
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The session is designed to foster early cohort cohesion, professional exchanges, and the development of networks that extend beyond the training.
Day One: June 18, 2026Foundations: AI, Law, and Global Governance
Learning Goals
Discover how AI is being controlled with strategic ecosystem levers and industry power dynamics
Understand why current AI tools and agents are breaking regulation frameworks
Map the global regulatory landscape (EU, US, Middle East, and the Global South)
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This module provides a clear, non-technical overview of AI systems and their implications. Participants examine core system types, including rules-based systems, machine learning models, foundation models, and the distinction between generative and predictive AI. The session clarifies the difference between training and inference, maps the lifecycle from data to deployment and outputs, and identifies where risks most commonly arises across that chain.
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This session distinguishes among different governance models, including regulation, standards, and statutes, and examines the interaction between hard and soft law in shaping AI control. Participants explore the levers currently influencing AI governance globally, including procurement mechanisms, contractual design, platform rules, industry standards bodies, insurance markets, litigation, and export controls. The discussion also addresses underlying AI power dynamics and how influence is exercised across public and private actors.
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This module compares the evolving AI governance approaches of the European Union and the United States. Participants examine the EU AI Act’s risk-based structure, its treatment of general-purpose and foundation models, and its interaction with GDPR, the Cyber Resilience Act, and robotics-related regulations, including open-source considerations. The session contrasts this with the US landscape of executive action, the absence of comprehensive federal AI legislation, growing state-level regulation, and the role of litigation in shaping AI governance.
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This module expands the governance lens beyond Western frameworks to examine AI regulation and strategy across the Middle East, Global South, and APAC. Participants explore national AI strategies, data localization policies, and procurement-driven governance in the Middle East; capacity constraints, data colonialism concerns, and the indirect importation of EU and US standards in the Global South; and regulatory developments in South Korea, Japan, and China. The session highlights how geopolitical priorities and development contexts shape divergent AI governance models.
Day Two: June 19, 2026The AI Lifecycle: Risk, Rights, and Responsibility
Learning Goals
Understand AI risk across the full lifecycle
Develop fluency in:
Copyright & IP
Data provenance & chain of custody
AI discoverability
Supply chain accountability
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This module explores how AI training data interacts with copyright and IP law across jurisdictions. Participants examine public versus proprietary data, licensed versus scraped content, and the legal risks tied to each. The session covers input and output infringement theories, derivative works, and contrasts EU text and data mining exceptions, US fair use uncertainty, and emerging Global South access versus protection tensions.
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This module examines core questions of ownership and authorship in AI systems. Participants analyze who may claim rights over training data, model architectures, and AI-generated outputs, while assessing evolving human authorship thresholds. The session also contrasts moral and economic rights frameworks across jurisdictions, highlighting how these distinctions shape claims to control, attribution, and commercialization.
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This module explores how traditional discovery doctrines apply to AI systems. Participants examine whether and how training datasets, model weights, prompts, logs, and system updates may become discoverable. The session addresses the tension between technical explainability and legal sufficiency, spoliation risks, and cross-border conflicts involving GDPR, data localization rules, and state secrecy laws.
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This module examines AI systems as multi-layer supply chains involving data providers, model developers, fine-tuners, and deployers. Participants analyze chain of custody issues including provenance, versioning, and auditability, and assess how responsibility may be allocated across the stack. Particular attention is given to the current uncertainty surrounding liability distribution among actors in complex AI ecosystems.
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The second evening convenes participants, faculty, and institutional partners for a hosted dinner and structured networking reception. The gathering provides space for continued dialogue, cross-jurisdictional exchange, and deeper professional connection following the day’s applied risk and lifecycle sessions.
Day Three: June 20, 2026Applied AI in Legal Practice and Career Development
Learning Goals
Apply AI tools to research, drafting, negotiation, discovery, and litigation workflows
Structure effective prompts and validate outputs to integrate AI responsibly into daily practice
Develop technical literacy to evaluate AI systems, vendor claims, and risk assessments
Build cross-border regulatory fluency and strategic positioning skills to future-proof legal careers
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This session explores how AI tools enhance core legal workflows across research, drafting, negotiation, discovery, and litigation. Participants learn prompt structuring for jurisdiction-specific and comparative analysis, rapid regulatory synthesis, and validation techniques to reduce hallucinations. The module also covers contract clause generation, AI risk allocation language, redlining support, negotiation briefs, argument mapping, document summarization, pattern identification, deposition outlines, and case chronology generation. An integrated AI technology stack is introduced to support these tasks across practice settings.
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This session focuses on how AI tools can support modern discovery and litigation strategy. Participants examine techniques for summarizing large-scale document production, identifying patterns across datasets, developing structured deposition outlines, and generating accurate case chronologies. The module also introduces a practical AI technology stack designed to enhance evidentiary analysis, case preparation, and strategic decision-making in complex disputes.
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This session examines evolving career pathways in AI-focused legal and governance work, including compliance leadership, discovery and litigation specialization, product counsel roles, audit and assurance advisory, and cross-border enforcement strategy. Participants also build technical literacy skills necessary to interpret model cards, assess vendor claims, understand benchmarking and evaluations, and critically review AI risk assessments.
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This session focuses on positioning legal professionals for long-term relevance in AI-driven environments. Participants explore the shift from document review roles to AI systems counsel, develop fluency in single-agent and multi-agent workflows, and examine liability modeling across autonomous decision chains. The module also addresses advising on human-in-the-loop design, as well as logging and traceability strategies critical to governance, accountability, and defensibility.
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This module develops cross-border regulatory fluency as a core professional advantage. Participants examine the realities of multinational AI deployment, including the EU’s risk-based framework, data localization regimes, export controls and compute restrictions, and procurement-driven governance models. The discussion emphasizes enforcement dynamics and practical nuances that shape real-world compliance strategy across jurisdictions.
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The program concludes with a structured synthesis of key themes across the three days, reinforcing core insights on AI systems, legal risk, governance, and cross-border strategy. Faculty offer final reflections on emerging trends and professional pathways, followed by the formal presentation of certificates recognizing successful completion of the program.
Program Logistics
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The total cost for the program is as follows:
Euro 1450: Lawyers and Professionals (private sector)
Euro 950: Academics, Government Officials, Professionals (non-profit sector)
Euro 450: Students
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A limited number (20) of partial scholarships are available to support participation of applicants from the middle-income and low-and lower-middle-income countries, based on country of residence at the time of application, using World Bank income classifications, not nationality or passport. Scholarships are awarded on a competitive basis and are subject to availability.
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Your scholarship eligibility is determined by your current country of residence (where you are primarily based for work or study).
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A 15 percent discount towards the full amount applies for participants who confirm and complete payment by the early-bird deadline: April 1, 2026. This discount cannot be combined with the scholarship or institutional rate.
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Institutional sponsorship is welcome. Sponsored participants are eligible for the institutional rate where applicable. A 20 percent discount is available for participants nominated or sponsored by the same institution (minimum two participants). This discount cannot be combined with the scholarship or early-bird rate.
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No. Only one discount may be applied per participant.
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No. Participants are responsible for arranging and covering travel, accommodation, meals outside scheduled program activities, and visa costs.
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AEGIX can provide official invitation and support letters to assist with visa applications, but participants remain responsible for all arrangements and outcomes.