Tech & Law Digest

What if a court-facing LLM refuses a lawful translation or summary task simply because the case facts are disturbing? This video explains "Measuring & Mitigating Over-Alignment for LLMs in Multilingual Criminal Law Courts" by Arthur Wuhrmann, Gaetan Stein, Daniel Brunner, and Andrei Kucharavy. The paper studies how multilingual LLMs behave on criminal-law court tasks where the materi...

Are legal AI models learning the law, or just learning the judge? This video explains "Towards Explainable Adjudicative Variance: Quantifying Judicial Discretion via Gated Multi-Task Learning" by Stanisław Sójka, Felix Steffek, and Matthias Grabmair. The paper studies legal outcome prediction on 13,937 UK Employment Tribunal decisions and asks whether models can separate objective case f...

What happens when a stablecoin becomes important enough to be treated like financial infrastructure? This video explains the Bank of England's June 2026 policy statement and consultation on sterling-denominated systemic stablecoins. The framework matters because it shows how the UK plans to let sterling stablecoins scale while protecting trust in money, payments, credit provision, and financia...

What if an LLM's answer could be traced back to the training examples that most shaped it? This video summarizes "Data Attribution in Large Language Models via Bidirectional Gradient Optimization" by Frédéric Berdoz, Luca A. Lanzendörfer, Kaan Bayraktar, and Roger Wattenhofer. The paper introduces DABGO: Data Attribution via Bidirectional Gradient Optimization. Instead of only asking...

Can AI do doctrinal legal reasoning, or are current benchmarks measuring the wrong thing? This video summarizes Michèle Finck's article "The Measurement Gap in the Automation of EU Law: Benchmarking Doctrinal Legal Reasoning under the EU AI Act."The central argument is that legal AI evaluation has a measurement gap. Many benchmarks test retrieval, classification, extraction, exam-sty...

What if most stablecoin transfers are not simple payments at all? This video summarizes the BIS Working Paper "The anatomy of stablecoin transactions" by Fabian Schaer, Anneke Kosse, Tara Rice, Takeshi Shirakami, and Jirapat Siridhasanakul. The paper studies USDT, USDC, and PYUSD activity on Ethereum using 593 million event logs from 141 million transactions. Its core point is simple but...

This video summarizes the arXiv paper "Tracing Stablecoin Contagion during the USDC Depeg after the Silicon Valley Bank Collapse" by Krongtum Sankaewtong, Stefan Kitzler, Bernhard Haslhofer, and Yuichi Ikeda. The paper studies the March 2023 USDC depeg after the collapse of Silicon Valley Bank, using Ethereum ERC-20 transaction data to trace how stress moved through stablecoins and relat...

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 b...

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 &quo...

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...

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 th...

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,...

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:...

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...

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 system...

A brief digest of Christiane Wendehorst’s 2024 Discussion Draft Principles for AI in Contracting (Version 2.1). This video explains the draft in a strictly informational way, focusing on: - what PAIC is and how it is positioned - the scope of the draft - attribution and operator responsibility - framework agreements and default rules - functional equivalence in Part IV - selected open questions ra...

What are algorithmic or automated contracts, and how do the European Law Institute’s Guiding Principles and Model Rules on Digital Assistants for Consumer Contract (DACC) and UNCITRAL’s Model Law on Automated Contracting (MLAC) approach them? In this video, we break down the architecture of algorithmic contracts in a practical and accessible way, focusing on:- what “algorithmic contracts” mean in...

This show compares the UNCITRAL Model Law on Automated Contracting (2024) with the ELI Guiding Principles and Model Rules on Digital Assistants for Consumer Contracts (2025). It explains: - what DACC covers and how its digital assistant differs from MLAC's broader automated system - how DACC Article 22 combines default attribution with a consumer-specific non-attribution safety valve - how MLAC Ar...

What if your country's cash went digital? In 8 minutes, this video explains CBDCs, or central bank digital currencies, and why governments are exploring digital cash. It breaks down wholesale vs. retail CBDCs, how they could change payments, and the big questions around privacy, control, and holding limits. Topics covered:- What a central bank digital currency is- Why central banks are explori...

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. This video summarizes the UNCITRAL Model Law on Automated Contracting (2024), with a focus on Articles 5 to 8 and the attribution framework in Article 7.