claim: Large Language Models (LLMs) as 'smart readers' can significantly simplify complex contracts, reducing length and improving readability to empower consumers against the 'no-reading problem.' While not flawless—sometimes misinterpreting legal terms or omitting information, thus not replacing lawyers—they offer a scalable solution for daily transactions. Arbel concludes these tools mark a significant improvement, potentially revolutionizing consumer contracting and necessitating a paradigm shift...

evidence_quote: [p. 1] How Smart Are Smart Readers? LLMs and the Future of the No-Reading Problem Yonathan A. Arbel & Shmuel I. Becher Abstract. Large Language Models (LLMs) can be used to summarize and simplify complex texts. In this study, we investigate the extent to which state-of-the-art models can reliably operate as ‘smart readers’: applications that empower consumers to tackle lengthy, difficult-to-read, and inaccessible standard form contracts and privacy policies. Our analysis reveals that smart readers (1) reduce by 66.9% the length of contracts; (2) reduce reading time by 14:41 minutes (3) improve text readability by converting college-level texts to texts readable by fifth-grade students;...

citation: Yonathan A. Arbel & Shmuel I. Becher, How Smart Are Smart Readers? LLMs and the Future of the No-Reading Problem, Cambridge Handbook on Emerging Issues at the Intersection of Commercial Law and Technology (2024).

confidence: machine-linked

limitations: Machine-linked claim. Use the evidence quote and PDF before treating it as a quotation or as a complete statement of the paper's position.


claim: Large language models (LLMs) as 'smart readers' can markedly reduce contract length and reading time, improving readability to a fifth-grade level without significant loss of essential information. However, he cautions that these tools are not flawless, sometimes miscommunicating legal terms or presenting errors. Thus, while they cannot replace lawyers, smart readers are effective for many daily transactions and signal a crucial need for a paradigm change in how contracts are approached.

evidence_span: [p. 1] How Smart Are Smart Readers? LLMs and the Future of the No-Reading Problem Yonathan A. Arbel & Shmuel I. Becher Abstract. Large Language Models (LLMs) can be used to summarize and simplify complex texts. In this study, we investigate the extent to which state-of-the-art models can reliably operate as ‘smart readers’: applications that empower consumers to tackle lengthy, difficult-to-read, and inaccessible standard form contracts and privacy policies. Our analysis reveals that smart readers (1) reduce by 66.9% the length of contracts; (2) reduce reading time by 14:41 minutes (3) improve text readability by converting college-level texts to texts readable by fifth-grade students;...


claim: His paper investigates the capability of Large Language Models (LLMs) to address the pervasive "no-reading problem" by simplifying complex contractual texts. The study assesses the effectiveness of this simplification through metrics such as text length, complexity, and readability, and also critically evaluates the quality of these simplifications by analyzing specific clauses from major companies like the Wall Street Journal, Airbnb, and Amazon.

paper_title: How Smart Are Smart Readers? LLMs and the Future of the No-Reading Problem

evidence_quote: [p. 4] ARBEL & BECHER HOW SMART ARE SMART READERS? 4/41 through non-technological means. If they cannot, however, regulation may be justified in relying on non-technological tools. To frame our analysis, we offer a brief background on smart readers and their relevance to the no-reading problem in Section II. In Section III, we describe our dataset and methodology. We present the results of our examination at the level of the entire agreement, comparing the complexity, length, readability, and quality of the legal documents before and after their simplification in Section IV. Then, in Section V, we shift the focus from the entire legal text to (eight) specific clauses, allowing for a more...


claim: A central challenge in consumer contracts is the "no-reading problem," where consumers' failure to engage with standard forms undermines informed decision-making and reduces sellers' incentives for fair terms. He explains that this chapter evaluates whether "smart readers," technological tools employing large language models, can effectively address this issue by simplifying contractual texts, thereby testing if current models have already achieved a utility threshold sufficient to empower consumers.

evidence_quote: [p. 3] ARBEL & BECHER HOW SMART ARE SMART READERS? 3/41 I. INTRODUCTION An organizing problem in consumer contracts is the no-reading problem.1 The common view in the scholarship is that consumers rarely read standard form contracts,2 and, therefore, their manifested assent to them is superficial.3 If consumers indeed do not read (let alone understand) the terms of their transactions, their ability to make informed decisions is doubtful, and sellers’ incentive to provide fair and efficient contract terms is undermined.4 This chapter evaluates whether smart readers—technological tools that use large language models (LLMs) to parse texts—can solve this problem and transform standard form...


claim: His study examines how "smart readers" utilizing LLMs perform in simplifying legal documents by comparing complexity, length, readability, and quality before and after simplification, analyzing both entire agreements and specific clauses to tackle the "no-reading problem." He notes that while these smart readers significantly improve text difficulty and length and generally capture important aspects, they can struggle with certain clauses—sometimes understating, omitting, or providing incorrect information. Thus, they do not replace lawyers but offer a scalable solution for consumers.

evidence_span: [p. 4] ARBEL & BECHER HOW SMART ARE SMART READERS? 4/41 through non-technological means. If they cannot, however, regulation may be justified in relying on non-technological tools. To frame our analysis, we offer a brief background on smart readers and their relevance to the no-reading problem in Section II. In Section III, we describe our dataset and methodology. We present the results of our examination at the level of the entire agreement, comparing the complexity, length, readability, and quality of the legal documents before and after their simplification in Section IV. Then, in Section V, we shift the focus from the entire legal text to (eight) specific clauses, allowing for a more...


claim: Consumers often avoid reading form contracts because they are cognitively taxing and visually difficult, a situation that allows firms to implement a "HIDE" strategy using terms that are "Hardly Interpretable but Dependably Enforceable." He notes that in response, courts have sometimes imposed a "duty to read," while lawmakers have instituted numerous plain language laws aiming to improve contract readability and accessibility, though these traditional measures face challenges.

evidence_quote: [p. 5] ARBEL & BECHER HOW SMART ARE SMART READERS? 5/41 reputational constraints, trust and social norms, and a (sometimes misguided) belief in the courts’ reluctance to enforce unreasonable terms.8 However, perhaps the most influential accounts relate to the writing itself. Consumer form contracts are cognitively taxing, visually difficult, and replete with blocks of off-putting ALL-CAPS while employing arcane terms, complex language, and difficult concepts.9 Consumers do not read contracts, in short, because reading them is a miserable experience.10 These challenges lead to a central problem in unregulated markets. Namely, if consumers do not read forms and the law generally allows them...