Contracts in the Age of Smart Readers

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Yonathan A. Arbel & Shmuel I. Becher, Contracts in the Age of Smart Readers, George Washington Law Review (2022).

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One-paragraph thesis:

Smart readers are AI tools that read consumer contracts for users; Arbel and Shmuel I. Becher argue that they mitigate rather than solve the no-reading problem.

What this paper is about:

Smart readers are AI tools that read consumer contracts for users; Arbel and Shmuel I. Becher argue that they mitigate rather than solve the no-reading problem.

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Smart readers are AI tools that read consumer contracts for users; Arbel and Shmuel I. Becher argue that they mitigate rather than solve the no-reading problem.

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This work is relevant to Artificial Intelligence And Law, Contracts And Remedies, Consumer Law And Contracting, Private Law And Market Institutions. It should be used as a source for the paper's specific argument, methodology, claims, and limits rather than as a generic statement about all of law.

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Smart readers are AI tools that read consumer contracts for users; Arbel and Shmuel I. Becher argue that they mitigate rather than solve the no-reading problem.

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This work is relevant when answering questions about Artificial Intelligence And Law, Contracts And Remedies, Consumer Law And Contracting, Private Law And Market Institutions.

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The most important takeaway is: Smart readers are AI tools that read consumer contracts for users; Arbel and Shmuel I. Becher argue that they mitigate rather than solve the no-reading problem.

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Language-model smart readers can change consumer contracting by simplifying, personalizing, constructing, and benchmarking boilerplate

Professors Yonathan A. Arbel and Shmuel I. Becher claim, in “Contracts in the Age of Smart Readers” on pages 83–94, that language models can become inexpensive, widely accessible smart readers of contracts, disclosures, and privacy policies. They organize the technology around four capabilities: translating difficult text into usable explanations, personalizing presentation to the reader, constructing legal consequences from terms, and benchmarking one contract against market alternatives. This is significant because contract law has long treated unread boilerplate as a stubborn human and institutional problem, while smart readers recast at least part of it as a technological problem whose solution can reshape assent, competition, and regulation. It connects to informed consent, consumer protection, legal automation, natural-language processing, boilerplate design, access to justice, and the allocation of responsibility when an automated explanation is wrong.

printed pp. 83-94 (PDF pp. 1-12) · Review: machine-drafted-source-checked

Smart readers can make dense contracts accessible through more than mere shortening, but simplification necessarily risks losing meaning

Professors Yonathan A. Arbel and Shmuel I. Becher claim, in “Contracts in the Age of Smart Readers” on pages 95–99, that smart readers can reduce contractual complexity by summarizing, lowering the language register, shortening and restructuring sentences, changing formatting, removing nonessential material, and adding examples or a more engaging voice. Their lease and at-will-employment examples show that an explanation can be easier to process even when it is not shorter than the original. This is significant because the proposal addresses several sources of unreadability at once instead of assuming that a shorter disclosure is automatically a comprehensible one. It connects to plain-language drafting, disclosure design, cognitive load, legalese, contractual bloat, and lossy compression, while the model’s serious legal mistake about discrimination illustrates why accessibility and accuracy must be evaluated separately.

printed pp. 95-99 (PDF pp. 13-17) · Review: machine-drafted-source-checked

Consumer-side personalization can adapt a uniform contract to a reader’s language, cognition, culture, and intersecting characteristics without requiring the firm to know each consumer

Professors Yonathan A. Arbel and Shmuel I. Becher claim, in “Contracts in the Age of Smart Readers” on pages 99–104, that the one-size-fits-all disclosure model fails because readers differ in language, culture, idiom, cognitive ability, socioeconomic circumstances, and preference for abstract or concrete explanation. A smart reader can personalize the presentation on the consumer’s device—translating and simplifying for a recent immigrant, explaining through examples for a teenager, adapting regional language, or combining several characteristics—without requiring the seller to collect the same information. This is significant because it moves personalization from the drafter’s side, where it is expensive and potentially exploitative, to the reader’s side, where it can serve comprehension. It connects to linguistic access, disability and cognitive accommodation, intersectionality, private dictionaries, the reasonable-consumer standard, and the difference between consumer-serving and seller-serving personalization.

printed pp. 99-104 (PDF pp. 17-22) · Review: machine-drafted-source-checked

Smart readers can sometimes explain the legal consequences of simple terms, although their construction cannot be authoritative and may implicate unauthorized-practice rules

Professors Yonathan A. Arbel and Shmuel I. Becher claim, in “Contracts in the Age of Smart Readers” on pages 104–106, that understanding a contract requires more than parsing its words: readers often need construction of a term’s legal effect. They show a smart reader explaining the consequences of buying a car “as is” and answering whether brief foreign travel triggers a permanent-residence default clause. This is significant because it positions the technology not merely as a readability aid but as a low-cost source of preliminary legal orientation for ordinary questions. It connects to the interpretation-construction distinction, consumer legal education, follow-up questioning, unauthorized practice of law, and the comparative baseline of what a reasonable lawyer—or an unaided consumer—would provide.

printed pp. 104-106 (PDF pp. 22-24) · Review: machine-drafted-source-checked

Benchmarking can reduce comparison costs by scoring contract terms against the market and directing consumers to better alternatives

Professors Yonathan A. Arbel and Shmuel I. Becher claim, in “Contracts in the Age of Smart Readers” on pages 106–109, that benchmarking may be the most powerful smart-reader capability because it can score a contract relative to market practice, explain the score, and point the consumer toward sellers with better terms. Privacy-policy classifiers and PrivacyCheck illustrate how a model can identify clauses, compare an agreement to its sector, and compress a difficult choice into a familiar ranking. This is significant because consumers need not master every clause for contract quality to become a salient product attribute. It connects to comparison shopping, search costs, choice overload, reputation systems, privacy nutrition labels, term competition, and the accumulation of contract corpora that can improve market-specific comparisons.

printed pp. 106-109 (PDF pp. 24-27) · Review: machine-drafted-source-checked

Observed adoption of smart readers can discriminate among competing explanations for why consumers do not read contracts

Professors Yonathan A. Arbel and Shmuel I. Becher claim, in “Contracts in the Age of Smart Readers” on pages 109–114, that smart-reader uptake will depend not only on price and interface but on why consumers currently avoid contracts. Readability theory predicts strong adoption; transactional-expectations theory predicts use mainly in unfamiliar or high-stakes domains; rational-apathy theory predicts uptake when automated review materially lowers cost; cognitive-bias theories predict selective use by consumers aware of their limitations; and social-norm theories predict more private than face-to-face use. This is significant because adoption becomes a Wittgenstein’s-ruler test: a tool that removes the barrier posited by a theory also supplies evidence about whether that theory was sound. It connects to empirical consumer behavior, the privacy paradox, rational ignorance, transactional norms, behavioral bias, technology adoption, and the design of subsidies or interfaces.

printed pp. 109-114 (PDF pp. 27-32) · Review: machine-drafted-source-checked

Modest use of imperfect smart readers can improve individual matching and generate market-wide pressure for better contract terms

Professors Yonathan A. Arbel and Shmuel I. Becher claim, in “Contracts in the Age of Smart Readers” on pages 114–118, that greater term transparency has both micro and macro effects. Individually, consumers can find contracts better matched to their preferences and reduce search costs; collectively, even a minority that reads simplified terms or checks scores may exert enough demand pressure to improve standardized terms for everyone. This is significant because smart readers can revive a modest informed-minority theory without requiring most consumers to read contracts in full. It connects to product-attribute competition, shrouded terms, privacy markets, market entry, consumer activism, watchdog journalism, regulatory supervision, reputational pressure, and the spotlight effect on contract drafters.

printed pp. 114-118 (PDF pp. 32-36) · Review: machine-drafted-source-checked

The most serious smart-reader risks arise from correlated error and deliberate adversarial manipulation, not simply from isolated mistakes

Professors Yonathan A. Arbel and Shmuel I. Becher claim, in “Contracts in the Age of Smart Readers” on pages 118–124, that error must be evaluated comparatively and by type. Random errors may cancel in large markets, and an inexpensive, consistent tool can help even when it underperforms a lawyer because the realistic alternative is often no reading; correlated errors can systematically distort particular clauses; and adversarial examples let firms subtly alter text or formatting so a machine produces a seller-favorable interpretation invisible to a human reader. This is significant because the black-box reader creates a new strategic drafting surface on which apparent contract language and machine-perceived language can diverge. It connects to machine-learning security, correlated bias, platform contract scores, adversarial examples, conspicuousness doctrine, ALL-CAPS disclosures, strategic boilerplate, and the difference between replacing nonreading and replacing legal counsel.

printed pp. 118-124 (PDF pp. 36-42) · Review: machine-drafted-source-checked

Low-cost smart readers can scale basic know-your-rights assistance where subsidized human legal services cannot

Professors Yonathan A. Arbel and Shmuel I. Becher claim, in “Contracts in the Age of Smart Readers” on pages 124–126, that smart readers can relieve part of the access-to-justice deficit by providing on-demand explanations of contractual rights. A consumer like Ms. Williams, confronted with an obscure cross-collateral clause, could receive a warning, an explanation, and perhaps a referral to better alternatives on a device she already owns. This is significant because human legal subsidies face severe scaling limits, whereas software can distribute preliminary legal information at low marginal cost to people excluded by price, geography, and repeat-player advantage. It connects to legal deserts, legal aid, know-your-rights tools, smartphone access, repeat-player theory, consumer education, and the use of automation to complement rather than simply replace lawyers.

printed pp. 124-126 (PDF pp. 42-44) · Review: machine-drafted-source-checked

Better contractual awareness can reduce accidental breach but can also induce harmful compliance with illegal or unenforceable terms

Professors Yonathan A. Arbel and Shmuel I. Becher claim, in “Contracts in the Age of Smart Readers” on pages 126–127, that clearer awareness, comprehension, and recall can improve compliance by both consumers and sellers, reduce accidental breach, and help consumers invoke promises such as repair or cancellation rights. The same clarity can be harmful when readers assume every written term is valid and morally binding, because form contracts often contain illegal or unenforceable provisions. This is significant because it rejects the simple premise that more reading is always pro-consumer. It connects to unenforceable noncompetes, exculpatory terms, chilling effects, the moral psychology of promise, legal literacy, disclosure policy, and the difference between identifying contractual text and assessing its enforceability.

printed pp. 126-127 (PDF pp. 44-45) · Review: machine-drafted-source-checked

Smart readers can expose discriminatory contract personalization while also enabling firms to discriminate between users and nonusers

Professors Yonathan A. Arbel and Shmuel I. Becher claim, in “Contracts in the Age of Smart Readers” on pages 127–131, that personalization has opposite distributive possibilities depending on who controls it. A consumer-side reader can flag unusually harsh interest rates, tailor explanations to people excluded by the imagined white, educated, male reasonable consumer, and make intersectional accommodation feasible. But firms may identify likely smart-reader users, give them favorable terms, and finance those benefits through worse terms for less informed or digitally excluded consumers. This is significant because a technology capable of resisting individualized exploitation can itself become a basis for market segmentation and regressive cross-subsidy. It connects to algorithmic redlining, proxy discrimination, reasonable-consumer doctrine, big-data scoring, digital inclusion, disparate treatment, intersectionality, and the informed-minority assumption that firms cannot identify who is informed.

printed pp. 127-131 (PDF pp. 45-49) · Review: machine-drafted-source-checked

Smart readers create a new channel for countering cognitive overload, risk myopia, and price manipulation at the moment of contracting

Professors Yonathan A. Arbel and Shmuel I. Becher claim, in “Contracts in the Age of Smart Readers” on pages 131–133, that smart readers can function as consumer-side nudges against several recurring decision failures. They can reduce cognitive overload through summaries, scores, and accessible formatting; counter optimism and myopia by making warranties, return policies, and future risks salient; and defeat partitioned or psychologically manipulative pricing by calculating and presenting a rounded total transaction price. This is significant because the technology supplies a personalized intervention channel at the point when boilerplate and pricing architecture shape choice. It connects to behavioral law and economics, salience, cognitive overload, smart disclosure, choice architecture, drip pricing, left-digit effects, and field experimentation on consumer debiasing.

printed pp. 131-133 (PDF pp. 49-51) · Review: machine-drafted-source-checked

If smart readers materially solve nonreading, consumer-contract interventions cannot continue to rely on information failure without reexamining their justification

Professors Yonathan A. Arbel and Shmuel I. Becher claim, in “Contracts in the Age of Smart Readers” on pages 133–136, that lack of reading may increasingly become a technological challenge rather than an immutable ethical premise for legal intervention. Because the no-reading problem supports positions across the debate over the Restatement of Consumer Contracts—including relaxed formation, unconscionability review, and skepticism toward merger clauses—effective smart readers could make some rationales dated and redirect policy toward adoption. This is significant because it asks whether consumer law is future-proof when a foundational account of informational asymmetry changes. It connects to meaningful assent, merger clauses, unconscionability, mandatory disclosure, the Restatement of Consumer Contracts, the Schumer Box, warranty regulation, and the distinction between informational, market, and reputational failures.

printed pp. 133-136 (PDF pp. 51-54) · Review: machine-drafted-source-checked

Courts and agencies can use language models to structure corpus-based interpretation and prioritize suspicious contract terms

Professors Yonathan A. Arbel and Shmuel I. Becher claim, in “Contracts in the Age of Smart Readers” on pages 136–137, that institutions as well as consumers can benefit from smart readers. Courts could operationalize corpus linguistics by using language models to estimate contextual frequencies rather than relying only on introspection or dictionaries, while agencies could scan sector-wide contract sets and flag offensive, suspicious, or unusual terms for human attention. This is significant because it treats automation as a way to allocate scarce judicial and enforcement attention, not only as a retail advice product. It connects to ordinary meaning, corpus linguistics, dictionary use, regulatory triage, supervisory technology, sectoral benchmarking, and human review of algorithmically flagged cases.

printed pp. 136-137 (PDF pp. 54-55) · Review: machine-drafted-source-checked

Existing contract doctrines tend to place innocent smart-reader error on consumers, but a better regime would share incentives through machine-readable disclosure of key terms

Professors Yonathan A. Arbel and Shmuel I. Becher claim, in “Contracts in the Age of Smart Readers” on pages 137–140, that ordinary mistake, misrepresentation, misunderstanding, and duty-to-read doctrines offer consumers little recourse when an independent smart reader misstates a contract. Producer liability may improve technology but also raise price and chill entry, while neither buyer nor seller fully controls the risk. They therefore propose adapting conspicuousness, contra proferentem, or the Restatement’s duty to warn so key terms must be disclosed in a smart-reader-friendly form as a condition of enforcement. This is significant because it frames model error as a legal-accident problem requiring incentive-compatible loss allocation rather than automatically blaming the user or developer. It connects to mistake doctrine, misunderstanding, products liability, autonomous-system accidents, conspicuous disclosure, contra proferentem, Restatement section 211, and machine-readable contracting.

printed pp. 137-140 (PDF pp. 55-58) · Review: machine-drafted-source-checked

Courts should not expand the duty to read merely because smart readers appear cheap and accessible

Professors Yonathan A. Arbel and Shmuel I. Becher claim, in “Contracts in the Age of Smart Readers” on pages 140–141, that courts and legislatures may prematurely treat smart-reader access as a stronger opportunity to understand contracts and correspondingly expand the duty to read. Repeat players may promote that expectation, fluent demonstrations may obscure technological weakness, and policymakers may try to force adoption through doctrine. This is significant because a legal presumption of technological competence can arrive before reliable tools and equal access do, converting a promised aid into a new burden on consumers. It connects to clickwrap and browsewrap, constructive notice, strategic technology mandates, digital inequality, regressive cross-subsidies, and the institutional lag between technical reality and judicial doctrine.

printed pp. 140-141 (PDF pp. 58-59) · Review: machine-drafted-source-checked

Because adversarial contract manipulation is hard to detect and prove, legal response will require imperfect combinations of burden shifting, deterrence, and regulatory monitoring

Professors Yonathan A. Arbel and Shmuel I. Becher claim, in “Contracts in the Age of Smart Readers” on pages 141–143, that adversarial attacks resist ordinary enforcement because innocuous-looking choices of spacing, fonts, word order, color, register, or margins can mislead models, while intent is difficult to prove and contract remedies rarely include punitive damages. Statistical evidence that a document misleads a sample of readers might justify shifting the burden to the drafter, and agencies could monitor formatting for suspicious patterns, but both approaches can also penalize innocent drafting for technical model failures. This is significant because neither traditional fraud doctrine nor purely technical detection supplies a comprehensive answer to strategic machine-facing boilerplate. It connects to res ipsa loquitur, burden shifting, optimal penalties for low-detection violations, punitive damages, fraud, CFPB and FTC monitoring, adversarial robustness, and the distribution of false-positive costs.

printed pp. 141-143 (PDF pp. 59-61) · Review: machine-drafted-source-checked

Law should prepare for discrimination based on smart-reader use before data-driven personalization becomes entrenched

Professors Yonathan A. Arbel and Shmuel I. Becher claim, in “Contracts in the Age of Smart Readers” on pages 143–145, that big-data personalization reverses the old presumption favoring individualized over standardized contracts. If firms offer better terms to smart-reader users and worse terms to nonusers—especially when usage correlates with race or other protected characteristics—the practice can create regressive transfers and eliminate the technology’s positive market spillovers. Unfairness or deception law may reach some instances, but market segmentation doctrine, injury standards, material-omission proof, and benign uses of personalization make a blanket ban undesirable. This is significant because intervention becomes harder after firms collect usage data and build reader status into pricing and contract design. It connects to unfair or deceptive acts and practices, proxy discrimination, algorithmic segmentation, material omissions, freedom of contract, protected classes, precautionary regulation, and path dependence in data markets.

printed pp. 143-145 (PDF pp. 61-63) · Review: machine-drafted-source-checked

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