Strategic Legal Futures & Foresight
Strategic foresight is an organizational, social, and personal practice that allows us to create functional and operational views of alternative futures and possibilities.
FutureLaw.ai seeks to transform the next generation of lawyers to be more AI savvy and operate in an increasingly data driven AI economy.
It is an industry-based training platform to get legal professionals ready for AI-enabled economy.
Our Mission is to equip legal professionals with the knowledge and skills to deal with new technologies such as LLM-driven legal AI models and agentic AI systems.
We focus on lawyering for the future data-driven AI economy!
* (including LLM-driven legal AI models and agentic AI systems)
Zaid Hamzah
is an AI and data strategist and practitioner specializing in AI in law and finance, AI and data governance and AI in information security. An AI patent holder, he is currently an Executive Education Fellow at the National University of Singapore (NUS) School of Computing’s Advanced Computing for Executives centre where he runs programmes on AI Innovation Management, Intellectual Property Rights in AI Innovation, and Commercialisation of AI Innovation. He has taught legal AI at the Singapore Management University School of Law. Zaid is deeply involved in AI R&D and innovation. His AI patent relating to risk management in a supply chain context was granted by the Intellectual Property Office of Singapore in December 2023. He is currently involved in AI research and innovation in the area of decision intelligence and cybersecurity.
Author of 10 books spanning law, technology, intellectual property and AI, Zaid has over 35 years of professional experience. He has previously served as (i) Microsoft's Director for intellectual property and commercial software; (ii) Senior Legal Advisor to Singtel’s joint venture with Warner Bros and Sony Pictures; (iii) Chief Regulatory Legal & Compliance Officer at publicly-listed Telekom Malaysia; (iv) Associate, Khattar Wong & Partners (Singapore law firm) and (v) Singapore Government service. Zaid has a law degree from the National University of Singapore and completed his Masters in International Relations at the Fletcher School of Law and Diplomacy, Tufts University on a Fulbright scholarship.
Zaid is a member of the Board of Directors, NIE International (which is wholly owned by Nanyang Technological University). Zaid volunteers his professional services to start ups in the area of AI management and intellectual property protection and regularly conducts community programs on how to get young children ready for a data and AI future.
Explore our course offerings covering strategic legal futures & foresight,
legal AI (including LLM-driven legal AI models and agentic AI systems), design thinking in law, smart city law,
cybersecurity law & compliance,
and public international law of cyberspace.
Strategic foresight is an organizational, social, and personal practice that allows us to create functional and operational views of alternative futures and possibilities.
Against the rapid acceleration of AI adoption, the legal industry is undergoing a profound transformation through LLMs, agentic AI systems, and intelligent workflows.
Legal design thinking (LDT) is about taking a creative, experimental, and user-centered approach to how we provide legal services.
Smart city law is about the laws and regulations in the design and development of smart cities.
This course will equip students with the knowledge and skills to deal with cybersecurity attacks from the legal, investigative, risk management and policy aspects.
We provide training in strategic cybersecurity compliance risk management and compliance performance management.
This course examines the international legal regulation of both the conduct of States among themselves and conduct towards individuals, in relation to the use of cyberspace.
Strategic Legal Futures and Foresight (SLFF) is the application of strategic foresight in the legal sector for exploring possible or probable futures in the legal industry. Strategic foresight is an organizational, social, and personal practice that allows us to create functional and operational views of alternative futures and possibilities. With the integration of LLM-driven legal AI models and agentic AI in law, particularly in areas such as legal AI reasoning, the SLFF program aims to leverage advanced technologies to enhance foresight capabilities.
Futures studies (colloquially called "futures") is the formal and systematic study of possible, probable, and preferable futures, incorporating cutting-edge methodologies including agentic AI frameworks and legal reasoning through inference engines. This discipline explores methods of foresight development for individuals, groups, and human society, especially within the evolving landscape of legal technology.
Futures thinking is one of the most critical skill sets for organizational leadership today. We depend a lot on hindsight to run our businesses, economies and countries. In our rapidly changing world, this can no longer be our practice. Our leaders must develop the skill of identifying emerging issues, building alternative scenarios, and creating transformational futures, utilizing technologies such as multi-agent orchestration in embedded legal workflows.
The SLFF program is a crucial first step in developing foresight skills for legal professionals, especially strategic legal thinkers. Robust legal foresight, incorporating LLM-driven legal AI models and agentic AI can be utilized to enhance the quality of strategic decision-making in the lawyering ecosystem, especially in complex industrial revolution 4.0 operating environments. This course will enable lawyers to implement legal foresight programs that leverage LLM-driven legal AI models and agentic AI and legal AI reasoning, improving their organization’s capacity to realize opportunities and manage both strategic and operational legal risks in this era of disruptive technological, economic, and social change.
Key Takeaways
At the end of the course, participants will be able to:
Who Should Attend
This programme has been designed for both lawyers as well as non lawyers who sit in Board of Directors, C-Suite Executives, Executive Leadership teams, Strategic/Transformation teams. Senior Management, and their teams who work on the development of strategic futures and foresight perspectives for their organisations will find this programme highly relevant.
The course is particularly relevant for those engaged in:
This executive program is relevant to both public and private sectors. Corporate runs can be customised to incorporate the topics and issues of specific interest to participants in industry.
Topics covered:
These topics will be covered in a 2-day, 16-hour programme blending theory, case study and practical workshop exercises that can be applied directly in the workplace.
It can be customised to accommodate the specific projects, topics or issues relevant to course participants. In this case, the workshop will focus on a set foresight project or challenge highlighted by participants, incorporating the use of LLM-driven legal AI models and agentic AI in legal problem-solving.
Against the rapid acceleration of AI adoption across industries, the legal industry is undergoing a profound transformation. Legal AI technology today encompasses large language models (LLMs), agentic AI systems, and intelligent workflows capable of executing complex legal tasks. These developments are reshaping how legal services are delivered globally, from legal research and drafting to compliance, dispute resolution, and decision-making. How will these advances redefine the role of legal professionals in the emerging AI-enabled economy?
In this program, course participants will explore the latest developments in the legal AI landscape and critically examine the impact of LLMs and agentic AI systems in both legal practice and corporate legal functions. The program will cover the application of LLMs and custom AI models in (i) advanced contract review and automated document review; (ii) regulatory and compliance intelligence systems; (iii) AI-enabled tools for in-house legal teams to optimise external counsel management, cost efficiency, and operational productivity. In addition, participants will be introduced to emerging multi-agent AI frameworks that orchestrate end-to-end legal workflows.
The program will also examine the near future of legal services, where agentic AI systems and semi-autonomous legal assistants increasingly perform higher-value tasks through reasoning, planning, and execution capabilities. These systems integrate algorithmic decision-making, advanced analytics, and adaptive learning to deliver scalable legal solutions. Participants will consider the legal, ethical, and liability implications arising from the deployment of such technologies, including accountability, transparency, and risk management. How will these shifts redefine the roles of in-house counsel and legal practitioners? This course provides a foundation for navigating and leading in a technology-driven legal ecosystem.
Note: There are no pre-requisites to attend this course and no technical background is required.
Aims
This elective aims to provide course participants with knowledge of:
Learning Outcomes
On completion of this elective, course participants will:
Skills Outcomes
The course participants will:
Legal design thinking (LDT) is about taking a creative, experimental, and user-centered approach to how we provide legal services. It is about taking the same design process taught in design school and applying it in the legal context. LDT takes a human-centered approach and applying it to the world of law to benefit individual clients and eventually benefitting society.
The aim of LDT is to get students and practitioners to develop real solutions to real problems and to learn to view a legal challenge in a new way. The basic principle of LDT is to try to make the law more accessible to individuals who are not trained in law. Effective LDT should help solve specific legal problems. Beyond focusing on the substantive aspects of the law, LDT is primarily about presenting legal issues in an understandable way to clients.
LDT offers a technique that can be used in practice and have many applications in all areas of lawyering that ultimately seeks to advance the interests of the clients. In LDT, unlike traditional law classes, you must focus on the user problems first, as opposed to starting from a macro-view of what the law is. It has to be hands on and you will need to focus on the client’s perspectives first.
Course Outline
Smart city law is about the laws and regulations in the design and development of smart cities.
A smart city is a term given to a city that incorporates information and communication technologies (ICT) especially sensor technology and big data analytics to enhance the quality and performance of urban services. Such urban services include energy, transportation and utilities in order to reduce resource consumption, wastage and overall costs.
The overarching aim of a smart city is to enhance the quality of living for its citizens through smart technology and the sustainable use of resources. Smart city laws are the laws and regulations that govern the design, development and maintenance of smart cities.
This course comprises the following modules:
The phenomenal growth of the networked environment, the increase in the number of malicious cyberattacks and the heightened risk of cyberterrorism against critical information infrastructures (such as national power grid, transportation, health, banking and finance infrastructure) have made cybersecurity a critical national agenda. Cyberattacks harm national security and business interests and are considered as criminal acts in most jurisdictions. In dealing with cybersecurity attacks, understanding how the law and legal processes operate is a critical and unavoidable aspect. Beyond cybercrimes, broader cybersecurity concerns such as cyberattacks from nation states and non-state actors have emerged.
With cyberterrorism and state sponsored cyberintelligence activities on the rise, cyberdefence has become a new strategic imperative. With traditional geopolitical risks increasingly layered with cybersecurity risks, international relationship management now requires new forms of cooperation between states in the new cyberworld. At the enterprise level, the establishment of a robust legal risk management framework and prosecution regime to fight cybercrime and cyberterrorism continues to be an essential building block. Enterprises, governments and other organizations needs to create a proactive and structured legal and regulatory risk management framework to better manage cybersecurity risks and ensure cybersecurity resilience.
This course will equip students with the knowledge and skills to deal with cybersecurity attacks from the legal, investigative, risk management and policy aspects. It will introduce the concepts and principles of computer crime laws and regulations, cyberterrorism and policy principles and practices to counter cyberthreats.
Course Objectives
By the completion of this subject, the student should be able to understand:
Course Structure
Recommended text book:
Public International Law of Cyberspace
by Kriangsak Kittichaisaree
https://www.springer.com/gp/book/9783319546568
This course examines the international legal regulation of both the conduct of States among themselves and conduct towards individuals, in relation to the use of cyberspace. The course introduces the perspectives of various stakeholders and the challenges for international law. The course discusses state responsibility and key cyberspace rights issues, and addresses cyber warfare, espionage, crime and terrorism. The course also covers the situation of non-State actors and quasi-State actors (such as IS, or ISIS, or ISIL) and concludes with a consideration of future prospects for the international law of cyberspace. Course participants may explore international rules in the areas of jurisdiction of States in cyberspace, responsibility of States for cyber activities, human rights in the cyber world, permissible responses to cyber attacks, and more.
Other topics addressed include the rules of engagement in cyber warfare, suppression of cyber crimes, permissible limits of cyber espionage, and suppression of cyber-related terrorism. The course feature explanations of case law from various jurisdictions, against the background of real-life cyber-related incidents across the globe. With the textbook written by an internationally recognized practitioner in the field, the course objectively guides course participants through on-going debates on cyber-related issues against the background of international law.
This course will appeal to a wide audience, from international lawyers to students of international law, military strategists, law enforcement officers, policy makers and the lay person.
Course Outline
FutureLaw.ai delivers specialised training in legal AI, equipping legal professionals with the skills and knowledge to navigate AI-enabled legal transformation. Our training programmes cover the full spectrum of next-generation legal AI capabilities, including LLM-driven legal AI models, agentic AI frameworks, legal AI reasoning, inference engine based reasoning, multi-agent orchestration, embedded legal workflows, AI governance frameworks, and legal transformation strategy.
We prepare legal professionals to lead in an era defined by human-AI collaboration in law, decision intelligence in legal practice, and intelligent legal workflows. Our programmes bridge the gap between legal expertise and emerging AI capabilities, ensuring participants can design, evaluate, and implement AI-enabled legal solutions.
At FutureLaw.ai, our learning strategy emphasises experiential, performance-based, adaptive and agile learning which we term PEbAAL (Performance-based, Experiential, Adaptive, Agile Learning).
The PEbAAL pedagogy will be applied across all our learning platforms that integrates content, pedagogical strategies and real world lifelong learning. For example, when a student learns either through face to face learning, e-learning or hybrid learning, the learning experience will go beyond the classroom and into the workplace.
We require our students to be exposed to real world setting from the time they start school and continuing their lifelong learning journey. Likewise, when a practising lawyer, in-house counsel or business executive learns through our platform, the emphasis is on real world experience that would boost corporate or organizational performance.
The PEbAAL pedagogy works this way:
Using design thinking methodology, we start by identifying the problem to be solved or the value to be created.
We carry out a user needs analysis to figure out what needs to be done in order to solve a problem or create value.
If a problem can be solved through learning and development, we then develop a learning roadmap geared towards solving the problem.
If the problem cannot be solved through learning problems (for example, personality clashes), we do not proceed with the PEbAAL approach but attempt to solve the problem through face to face human interactions.
The learning roadmap will comprise the following elements:
a. Problem identification
b. User needs analysis
c. Learning strategy design which will focus on adaptive and agile learning
d. Tailored learning contents directed at problem solving
e. Integrated learning and development platform backed by a learning and training management system
f. Evaluation framework using the updated Kirkpatrick evaluation methodology
g. Review and refinement to ensure that the organizational KPIs (key performance indicator) are met
Academic institutions are encouraged to create a student e-Portfolio that would capture the students’ learning experiences which they can share with their future employers or partners.
Organizations that require support to create these cloud based e-Portfolio can contact us.
Organizations and enterprises are also encouraged to create their own Skills Portfolio for their employees and this can be connected with our knowledge and skills bank that is constantly updated as part of our adaptive and agile learning.
We develop comprehensive AI-enabled product and service to enable enterprises,
organizations and governments to achieve improved efficiencies, cost optimization,
enhanced brand perception and promote greater customer centricity.
We develop for our partners and clients:
AI-Enabled Dashboard as a centralized platform with interactive dashboards for real-time insights and decision-making.
API Gateway for easy integration with existing enterprise systems and third-party applications.
Security and Compliance measures and compliance with data protection regulations.
We work with our partners and clients to design and develop:
Large Language Models (LLMs): We utilize state-of-the-art LLMs like GPT-4 for natural language understanding and generation.
Agentic AI Workflows: Implement Agentic AI legal workflows: Multi-agent orchestration in legal agentic AI workflows for legal analysis & reasoning.
Computer Vision: Employ computer vision algorithms for image and video analysis.
Cloud Infrastructure: Utilize scalable cloud platforms like AWS, Azure, or Google Cloud for processing and storage.
IoT Integration: Incorporate IoT sensors and devices for data collection and real-time monitoring.
API Documentation: We provide comprehensive API documentation to assist developers in integrating with your AI-powered solutions.
Developer Support: We offer developer support and forums to address technical queries and issues.
Scalability: We help ensure APIs are designed for scalability to accommodate increasing demand.
Data Collection and Integration: We develop processes to gather data from various sources within the enterprise, including operational data, customer data, and market data.
Data Preprocessing: We support our partners and clients to clean, normalize, and transform data to make it suitable for analysis.
AI-Assisted Legal Reasoning: We help build AI-assisted legal reasoning models for demand forecasting, quality control, and resource allocation.
Customer Feedback Loop: We establish a process for continuous feedback analysis from customer interactions to enhance product/service offerings.
Optimization Framework: We help implement algorithms for resource optimization, supply chain management, and pricing strategies.
Agile Development: We support our partners and clients to adopt agile methodologies for software development to respond quickly to changing market demands.
We work with our partners and clients to manage the following:
Data Lake and Data Warehouse: Store and manage data in a centralized data lake or data warehouse for easy access and analysis.
Data Quality Assurance: Implement data quality checks and data governance practices to ensure data accuracy.
Data Analytics: Utilize data analytics tools for in-depth analysis of historical and real-time data.
Data Monetization: Explore opportunities to monetize data by offering insights to partners or customers.
We work with our partners and clients on strategies and programs on:
How to use AI to personalize customer experiences and recommendations.
How to implement AI-driven chatbots and virtual assistants to enhance customer support.
How to analyze customer sentiment through legal AI reasoning to improve products and services.
How to create a feedback loop with customers to iterate and enhance offerings.
We work with our partners and clients to develop talents on:
To contact us regarding our offerings, email Zaid Hamzah (Mr),
our Founder, at [email protected].