Tech & Law Digest

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How will AI, digital finance, and emerging technologies reshape law and regulation? Tech & Law Digest explores the intersection of AI, legal systems, and digital innovation through short, clear explanations of the technologies and policies shaping the future. - Large Language Models (LLMs) and AI systems RAG architecture, rerankers, and modern AI infrastructure AI governance and regulation Legal Tech and the digital transformation of courts FinTech regulation, digital assets, and CBDCs Platform regulation and the digital economy Each episode helps viewers understand how emerging technol

  1. 12 APR

    BIS Unified Ledger Explained | Tokenisation, Wholesale CBDC, and Future Money

    BIS Unified Ledger Explained | Tokenisation, Wholesale CBDC, and Future Money What happens when central bank money, tokenised deposits, and real-world assets all live on the same programmable platform? In this video, we break down the BIS Annual Economic Report 2023 chapter "Blueprint for the future monetary system: improving the old, enabling the new" and explain the core architecture behind the unified ledger. Topics covered: - What tokenisation actually means - Why the BIS treats tokens as executable objects - How the "ramp" connects traditional databases to programmable platforms - Why wholesale CBDC acts as the settlement anchor - Why the BIS prefers tokenised deposits over stablecoins - How the unified ledger is structured - Atomic settlement, DvP, PvP, and trade finance use cases - The legal, technical, governance, and privacy challenges Timestamps 00:00 Introduction and disclaimer 00:30 Why the BIS blueprint matters 01:30 Tokenisation and executable objects 02:59 The ramp between legacy assets and programmable platforms 04:05 Settlement finality and wholesale CBDC 05:13 Tokenised deposits vs. stablecoins 05:59 Why tokenised deposits preserve the two-tier monetary system 07:37 The unified ledger architecture 09:04 Ledger partitions and confidentiality 09:16 Atomic settlement 09:51 DvP and PvP settlement 10:41 Trade finance on a unified ledger 11:04 The four implementation challenges 12:12 Final synthesis 12:42 Closing Source Bank for International Settlements, Annual Economic Report 2023, Chapter III: "Blueprint for the future monetary system: improving the old, enabling the new" This content is provided for research and educational purposes only and does not constitute legal, financial, regulatory, or investment advice. You are responsible for how you use this information and should seek qualified professional advice for specific matters. #BIS #CBDC #Tokenisation

    13 min

  2. 27 MAR

    When a Bot Signs a Contract, Who's Bound? Chopra & White Explained

    When a Bot Signs a Contract, Who's Bound? Chopra & White Explained This content is provided for informational purposes only and does not constitute legal advice. You are responsible for how you use this information and should seek qualified advice for specific matters. In this video, we break down Samir Chopra and Laurence White's classic analysis of autonomous contracting and the "contracting problem" created by artificial agents. The paper asks a foundational question for digital commerce: when a bot forms a contract, who should be legally bound by it? Rather than inventing a brand-new legal category for AI systems, Chopra and White argue that agency law already offers a workable answer. The paper walks through: - why the "mere tool" theory starts to fail as software becomes more autonomous - how actual authority and apparent authority can be translated into algorithmic settings - the paper's taxonomy of specification errors, induction errors, and malfunctions - why agency law can allocate risk more coherently across operators, users, and third parties - how existing legislative approaches compare to the agency-law model Source paper: Samir Chopra & Laurence White, 'Artificial Agents and the Contracting Problem: A Solution Via an Agency Analysis' (2009) University of Illinois Journal of Law, Technology & Policy 363-380. If you're interested in AI contracts, autonomous agents, legal tech, and the future of digital commerce, this episode gives you a compact map of one of the field's most important early arguments. #AIContracts #LegalTech #AgencyLaw #AutonomousCommerce #ContractLaw

    9 min

  3. 26 MAR

    Is Consumer Law Ready for AI Agents? | Busch Explained

    Christoph Busch's 2025 paper asks whether European Union consumer law is ready for the rise of AI agents that shop, compare, and contract on behalf of consumers. This video explains Busch's core argument: the move from human-centered online shopping to the "Custobot Economy" forces consumer law to rethink information duties, manipulation rules, average-consumer standards, and the timing of legal protection itself. Source: Christoph Busch, "Consumer Law for AI Agents" (Yale University, 2025). Topics covered: - generative AI vs. agentic AI - Custobots and the shift to agent-to-agent commerce - SEO vs. AI Agent Optimization (AAO) - the limits of human-centric consumer law - the "Average Custobot" problem - machine-readable disclosures and decentralized personalization - choice engines and paternalism - dark patterns, adversarial attacks, and prompt injection - the three future pillars of consumer law for AI agents - legal recognition, the no-barrier principle, and design-based protection This content is provided for informational purposes only and does not constitute legal advice. You are responsible for how you use this information and should seek qualified advice for specific matters.

    8 min

  4. 26 MAR

    Can AI Systems Form Contracts? Agency, Responsibility & Mistake | Tan Cheng-Han

    Can AI systems form contracts, who is legally responsible when they do, and what happens when an automated transaction goes badly wrong? This video explains Professor Tan Cheng-Han's 2026 article, "COVID-19, Agentic Artificial Intelligence and Contract Formation," published in The Chinese Journal of Comparative Law. Using Quoine v B2C2 as the central case study, the paper looks at the broader structure of AI contracting in common law: - whether agentic AI should be treated as a legal agent - when a platform operator may be acting on behalf of users instead - how automated contract formation fits within ordinary contract doctrine - why mistake doctrine may become the main safeguard against aberrant outcomes Topics covered: - generative AI versus agentic AI - legal agency and platform responsibility - Quoine v B2C2 - tool theory and extended assent - automated transactions legislation - unilateral mistake and equitable relief - UCITA as a conceptual reference point - how common law may adapt to increasingly autonomous systems Source: Tan Cheng-Han, "COVID-19, Agentic Artificial Intelligence and Contract Formation," The Chinese Journal of Comparative Law (2026). This content is provided for informational and educational purposes only and does not constitute legal advice. You are responsible for how you use this information and should seek qualified advice for specific matters.

    12 min

  5. 23 MAR

    AI & Software-Formed Contracts and the Law of Mistake | Ooi Explained

    Vincent Ooi's 2022 article asks how common law should handle contracts formed by autonomous software. This digest walks through the contracting problem, the limits of the mere tools theory, the failure of the agency approach, Ooi's extended objective theory of contract, and why unilateral mistake in equity becomes the key doctrinal safeguard when software malfunctions. Source: Vincent Ooi, "Contracts Formed by Software: An Approach from the Law of Mistake," Journal of Business Law (2022). Topics covered: - objective theory of contract - mere tools theory - agency approach - extended objective theory - unilateral mistake - mistake in equity This content is provided for informational purposes only and does not constitute legal advice. You are responsible for how you use this information and should seek qualified advice for specific matters.

    9 min

  6. 20 MAR

    When AI Makes a Contracting Mistake: Herbosch Explained

    What happens when an AI system forms a contract by mistake? This video explains Maarten Herbosch’s 2025 article, “To err is human: Managing the risks of contracting AI systems,” published in Computer Law & Security Review. The paper argues that existing contract-law frameworks are flexible enough to handle AI-formed contracts while still protecting deployers in the right cases. In this digest: - AI-supported vs. AI-driven contracting - Herbosch’s dual-function account of intent - Two layers of deployer protection - Reasonable expectations and unilateral mistake - Risk-bearing and excusability in AI contracting This content is provided for informational and educational purposes only and does not constitute legal advice. You are responsible for how you use this information and should seek qualified advice for specific matters. #AIContracts #ContractLaw #ArtificialIntelligence #LegalTech #UnilateralMistake

    10 min

  7. 19 MAR

    When Algorithms Make Contract Mistakes: Frattone's Article Explained

    What happens when an algorithm forms a contract at the wrong price or on the wrong assumptions? Can contract law treat that as a legal mistake, and if so, whose mistake is it? This video explains Cristina Frattone's 2024 article on algorithmic mistakes in machine-made contracts. It covers: - the difference between automation mistakes and autonomy mistakes - why attribution is the central legal problem - how *Quoine v B2C2* exposes the limits of current mistake doctrine - why Frattone proposes a dedicated rule for algorithmic mistake If you're interested in AI contracting, automated trading, and private law doctrine, this paper is a useful map of the problem. Further reading: - UNCITRAL Model Law on Automated Contracting - ELI Guiding Principles on Digital Assistants for Consumer Contracts - Wendehorst on AI in contracting This content is provided for informational purposes only and does not constitute legal advice. You are responsible for how you use this information and should seek qualified advice for specific matters.

    3 min

  8. 19 MAR

    When AI Signs the Contract: Eliza Mik on Automation, Autonomy, and Attribution

    When an AI system executes a deal on its own, is that a valid contract, and whose contract is it? This video explains Eliza Mik's 2020 paper, From Automation to Autonomy: Some Non-existent Problems in Contract Law. It focuses on her core claim that existing contract-law principles can already handle automated contracting without granting legal personhood to software or treating advanced systems as autonomous legal actors. The video covers: - Mik's distinction between the operator and the user - why separation, agency, and anthropomorphization theories fail - the three main arguments for attribution to the operator - operator protection through existing doctrine, including apparent mistake and lack of contractual intention - legislative confirmation from electronic-transactions frameworks This content is provided for informational purposes only and does not constitute legal advice. You are responsible for how you use this information and should seek qualified advice for specific matters. Source: Eliza Mik, "From Automation to Autonomy: Some Non-existent Problems in Contract Law" (2020), SSRN Working Paper. https://papers.ssrn.com/abstract=3635346

    11 min
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How will AI, digital finance, and emerging technologies reshape law and regulation? Tech & Law Digest explores the intersection of AI, legal systems, and digital innovation through short, clear explanations of the technologies and policies shaping the future. - Large Language Models (LLMs) and AI systems RAG architecture, rerankers, and modern AI infrastructure AI governance and regulation Legal Tech and the digital transformation of courts FinTech regulation, digital assets, and CBDCs Platform regulation and the digital economy Each episode helps viewers understand how emerging technol

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