[{"data":1,"prerenderedAt":563},["ShallowReactive",2],{"uc-legal-aid-self-help-assistant":3,"uc-regulations":340},{"useCase":4,"evidence":174,"blitsAiDeployments":232,"benchmarks":233,"indicative":234,"related":237,"indexability":338,"includeUnpublished":180},{"title":5,"shortTitle":6,"seoTitle":7,"metaDescription":8,"status":9,"definition":10,"aliases":11,"industries":17,"functions":19,"patterns":22,"channels":26,"audience":28,"autonomy":29,"adoptionStage":30,"problem":31,"problemStats":32,"howItWorks":40,"valueDrivers":41,"kpis":45,"indicativeValue":50,"macroEstimates":79,"feasibility":80,"implementation":91,"risk":129,"blitsAi":144,"faq":146,"related":159,"datePublished":162,"dateModified":163,"lastVerified":162,"changelog":164,"slug":173},"AI self help assistant for self represented litigants and legal aid clients","Legal aid self help assistant","AI legal aid chatbot for people without a lawyer","AI answers general legal questions for people without a lawyer and refers them onward. Legal Aid of North Carolina and People's Law School BC run one.","published","A conversational AI assistant that a legal aid organisation or court runs for people who face a legal problem without a lawyer, such as an eviction, a custody dispute or a debt claim, answering general questions about the law and the court process in plain language, pointing to the right form or self help resource, and referring anything that needs a lawyer's judgment or a specific case answer to a human, without ever telling the person what to do in their own case.",[12,13,14,15,16],"self represented litigant chatbot","access to justice chatbot","legal information assistant","pro se litigant assistant","court self help AI",[18],"government",[20,21],"legal","citizen-services",[23,24,25],"rag-knowledge-assistant","conversational-agent","classification-and-routing",[27],"web-chat","customer-facing","assist","early-adopters","Low income Americans who face a civil legal problem, an eviction, a custody dispute, a consumer debt\nclaim, often go without a lawyer. The Legal Services Corporation's 2022 Justice Gap study found that\nlow income Americans did not receive any or enough legal help for 92% of their civil legal problems.\nCost is an important barrier: 46% of those who did not seek legal help for one or more problems cited\ncost as a reason, and separately, 53% of low income Americans in the same study doubted they could\nfind an affordable lawyer. The result is a large population of self represented litigants who still\nhave to find the right form, meet a real deadline and show up to a hearing they do not fully\nunderstand.\n\nCourt and legal aid websites answer some of this in writing, but people often do not know which page\ncovers their situation or which legal term describes their problem. A generative assistant can meet\nthe question in plain language, but the design has to be conservative: both organisations on this\npage state that their assistant does not give legal advice, so the assistant has to inform and\nrefer, never advise.",[33,38],{"statement":34,"sourceTitle":35,"sourceUrl":36,"year":37},"Low income Americans did not receive any or enough legal help for 92% of their civil legal problems.","The Justice Gap","https://justicegap.lsc.gov/",2022,{"statement":39,"sourceTitle":35,"sourceUrl":36,"year":37},"Nearly one half (46%) of those who did not seek legal help for one or more problems cite concerns about cost as a reason why.","1. **Answer in plain language.** The person types their question in their own words; the assistant\n   reads it without requiring legal terminology.\n2. **Retrieve from vetted legal information only.** It answers from a curated set of legal\n   information content the organisation has written and reviewed rather than from the model's\n   general knowledge, the way Beagle+ retrieves only from People's Law School's own site and\n   Dial-A-Law content.\n3. **Stay general, refuse to advise.** The assistant explains the law and the process in general\n   terms and explicitly declines to say what the person should do in their own case, a limit both\n   organisations on this page state directly to users.\n4. **Point to the next concrete step.** It names the relevant form, self help centre or referral\n   resource, and where a human is needed, such as a legal aid intake line or a court self help\n   centre.\n5. **Support the languages the population needs.** Legal Aid of North Carolina describes LANC-LIA as\n   giving multilingual answers to general civil legal questions, though its own page does not name\n   which languages.",[42,43,44],"inclusion-and-access","customer-experience","cost-to-serve",[46,47,48,49],"users-served","interactions-handled","contact-deflection","customer-satisfaction",{"referenceOrg":51,"inputs":52,"formula":74,"currency":75,"period":76,"resultLabel":77,"caveat":78},"A legal aid organisation or court self help centre answering 60,000 general legal questions a year",[53,60,67],{"key":54,"label":55,"low":56,"high":57,"unit":58,"note":59},"questions","General legal questions answered per year",20000,100000,"questions per year","Editorial assumption. Replace with your own website and hotline question volume.",{"key":61,"label":62,"low":63,"high":64,"unit":65,"note":66},"minutesSaved","Staff or hotline minutes saved per question the assistant answers instead",5,15,"minutes per question","Editorial assumption, replace with your own. Neither organisation on this page publishes a measured time saving.",{"key":68,"label":69,"low":70,"high":71,"unit":72,"note":73},"hourlyCost","Fully loaded cost of a legal aid staff or hotline hour",25,45,"USD per hour","Editorial assumption. Replace with your own staff cost.","questions * (minutesSaved / 60) * hourlyCost","USD","per year","Legal aid staff and hotline time released from routine questions","Time released, not cash saved, unless staffing changes. It leaves out the cost of writing and maintaining the underlying legal content, the value of access outside office hours, and the risk cost of a person relying on a wrong or incomplete answer instead of calling for help.",[],{"complexity":81,"complexityNote":82,"dataPrerequisites":83,"integrations":87},"low","A grounded question answering assistant over an organisation's own legal information content is quick to build; both deployments on this page are described as answering general questions only, not questions about a person's case. The real work is writing and maintaining plain language legal content people can act on, and testing the refusal behaviour so the assistant never drifts into advice.",[84,85,86],"A curated, owned set of plain language legal information content, reviewed by a lawyer for accuracy","A clear, written line between general legal information and legal advice that content owners and the assistant both follow","A list of referral resources (self help centres, intake lines, court forms) to point to",[88,89,90],"Content management system for the underlying legal information","Referral or intake system for handover to a human","Web and mobile channels, and translation for languages the served population needs",{"steps":92,"guardrails":108,"humanInTheLoop":113,"kpisToInstrument":114,"failureModes":119},[93,96,99,102,105],{"title":94,"detail":95},"Write the content before the chatbot","Start from an existing, lawyer reviewed library of plain language legal information, the way Beagle+ draws only on People's Law School's own website and Dial-A-Law content, rather than letting the model answer from general knowledge.",{"title":97,"detail":98},"Draw a hard line against legal advice","Decide explicitly what counts as advice for your jurisdiction and organisation, and test the assistant against it; both organisations on this page state directly to users that the tool answers general questions only and does not address their specific case.",{"title":100,"detail":101},"Support the languages your population needs","Match the assistant's languages to who actually calls or visits; Legal Aid of North Carolina describes LANC-LIA as giving multilingual answers to general civil legal questions.",{"title":103,"detail":104},"Build and publish a test set as you develop","People's Law School created a 42 question test set during development to improve Beagle+'s accuracy and helpfulness, and published the dataset to help others; do the same with real questions from your own intake data.",{"title":106,"detail":107},"Give every conversation a way to reach a person","Make the route to a human, an intake line, a self help centre, a lawyer of the day, obvious and easy, especially when the assistant detects urgency or cannot help.",[109,110,111,112],"Answers only from the organisation's own vetted legal information, never from the model's general knowledge or invented case law","Explicit, repeated statement that the assistant gives general information, not legal advice, and cannot address the person's specific case","No collection or storage of case specific personal data beyond what is needed to route a referral","A visible, low friction route to a human for anything urgent, safety related or outside the assistant's content","The assistant never tells a person what to do in their own case; a lawyer, paralegal or self help centre staff member handles anything that needs case specific judgment. Content owners review and update the underlying legal information, and both organisations on this page publish the limits of what their assistant does directly to users.",[115,116,117,118],"Questions answered from content versus referred to a human, by topic","User reported satisfaction and whether they found what they needed","Share of conversations where the assistant correctly refused to give case specific advice","Unanswered or misrouted questions, reviewed to find content gaps",[120,123,126],{"title":121,"detail":122},"A confident answer that drifts into advice","Under a natural sounding conversation, the assistant starts to sound like it is telling the person what to do in their case rather than explaining the law generally. Test explicitly for this drift and tune refusals, not only for factual accuracy.",{"title":124,"detail":125},"Content that has not kept up with the law","A rule, form or deadline changes and the assistant keeps citing the old one. Assign an owner and a review cycle to the underlying legal content, the same discipline any grounded assistant needs.",{"title":127,"detail":128},"People who needed a lawyer never asked for one","Someone with a case serious or complex enough to need a lawyer gets general information and stops there instead of being referred. Watch for topics and language patterns that suggest higher stakes and route them to a human proactively rather than waiting to be asked.",{"euAiAct":130,"regulations":133,"guidance":137,"controls":138,"incidents":143},{"tier":131,"basis":132},"limited","An assistant that gives general legal information and explicitly declines to advise on a person's specific case is not listed in Annex III; it carries the Article 50 duty to disclose that the person is interacting with AI. If a deployment were changed to assess a person's eligibility for legal aid itself, rather than only inform and refer, Annex III point 5(a) on essential public assistance services could apply, and the design should be reassessed.",[134,135,136],"eu-ai-act","gdpr","iso-42001",[],[139,140,141,142],"A written, tested boundary between legal information and legal advice, reviewed by a lawyer","Clear AI disclosure and a visible route to a human","Content ownership and a review cycle for every topic the assistant covers","No case specific personal data retained beyond what a referral needs",[],{"howToBuild":145},"On Blits.ai this is an **AI agent** grounded in a **knowledge base** built only from the\norganisation's own reviewed legal information content, retrieved with **hybrid search** so exact\nwording (a filing deadline, a form name) is found as well as related guidance. **Guardrails** with\nan admin authored policy keep answers general and block the agent from telling a user what to do in\ntheir specific case, and the platform's default guardrail blocks prompt injection attempts aimed at\ngetting around that limit.\n\nThe assistant runs in **web chat** and reaches a mobile experience through the **REST or WebSocket\nAPI channel**, with a **language switcher** and translation for the languages the served population\nneeds. **PII masking** at the gateway limits personal data reaching the model, and **human\nhandover** escalates urgent or out of scope conversations to a human agent, with the conversation\nhistory sent along. **Test suites** replay a set of real questions, including cases that should be\nrefused, graded either by deterministic rules or by an LLM grader, and **analytics** surface\nunanswered questions so content owners know what to write next.",[147,150,153,156],{"question":148,"answer":149},"Can this kind of assistant give legal advice?","No, not in either deployment on this page. Legal Aid of North Carolina's LANC-LIA states directly that it does not provide legal advice and cannot answer specific questions about a person's case, and People's Law School describes Beagle+ as guiding people to legal information rather than telling them what to do; both point people to a lawyer for case specific questions.",{"question":151,"answer":152},"What results have these assistants reported?","Neither organisation has published usage or outcome figures for its chatbot on the pages cited here. Measure your own deflection, satisfaction and referral rates before building a business case on either deployment.",{"question":154,"answer":155},"How is this different from a general government information chatbot?","A citizen information assistant answers \"which office\" and \"how do I apply\" questions across government services. This use case is narrower and more sensitive: it serves people who are already in or facing a legal case, so the line between general information and legal advice has to be explicit, tested and repeated to the user, not just implied by the assistant's tone.",{"question":157,"answer":158},"Is this high risk under the EU AI Act?","Not as designed here, since it only informs and refers. It carries the Article 50 transparency duty. A version that assessed someone's eligibility for legal aid itself, rather than pointing them to where to ask, would need to be reassessed against Annex III point 5(a).",[160,161],"citizen-information-assistant","public-service-translation","2026-09-29","2026-09-30",[165,167,169,171],{"date":163,"note":166},"Published after review by an automated review workflow (independent skeptic review).",{"date":163,"note":168},"Second editorial pass after an adversarial review: rewrote the problem paragraph's claim that giving case specific advice is legal advice a tool cannot give, which was an unsourced universal legal claim, as the sourced design choice both organisations state (neither offers legal advice); rewrote feasibility.complexityNote's unsourced claim that neither deployment connects to case data or files anything to match what the sources actually say (both are described as answering general questions only); hedged the unsourced generalisation that people rarely know which page or term covers their problem to 'often do not know'; removed mobile-app from channels since neither evidence record is a mobile deployment; reordered this changelog into consistent reverse chronological order.",{"date":163,"note":170},"Unpublished by an automated review workflow (independent skeptic review).",{"date":162,"note":172},"First published","legal-aid-self-help-assistant",[175,207],{"title":176,"useCases":177,"organization":178,"vendors":183,"summary":187,"stage":188,"year":189,"channels":190,"languages":191,"metrics":193,"outcomeDisclosed":180,"sources":194,"verification":202,"grade":204,"id":205,"organizationSlug":206},"Legal Aid of North Carolina: LANC-LIA legal information chatbot",[173],{"name":179,"anonymized":180,"country":181,"region":182,"industry":18},"Legal Aid of North Carolina",false,"US","north-america",[184],{"name":185,"role":186},"LawDroid","integrator","LANC-LIA is a chatbot Legal Aid of North Carolina runs on its own website to give multilingual answers to general civil legal questions, focused on domestic violence, child custody, landlord tenant issues and consumer law. It answers questions, gives information on legal topics and refers people to further resources, and is built and described by the organisation to explicitly not give legal advice or answer case specific questions, only general information about the law in North Carolina. LANC launched it on July 10, 2024, developed in its Innovation Lab with LawDroid.","production",2024,[27],[192],"en",[],[195,198],{"url":196,"title":197,"publisher":179},"https://legalaidnc.org/lia/","LANC-LIA",{"url":199,"title":200,"publisher":179,"date":201},"https://legalaidnc.org/2024/07/10/legal-aid-of-north-carolina-launches-ai-powered-virtual-assistant-to-enhance-access-to-justice/","Legal Aid of North Carolina Launches AI-Powered Virtual Assistant to Enhance Access to Justice","2024-07-10",{"level":203,"checkedAt":162},"source-verified","B","legal-aid-of-north-carolina-lia-chatbot",null,{"title":208,"useCases":209,"organization":210,"vendors":213,"summary":219,"stage":188,"year":189,"channels":220,"languages":221,"metrics":222,"outcomeDisclosed":180,"sources":223,"verification":230,"grade":204,"id":231,"organizationSlug":206},"People's Law School (British Columbia): Beagle+ legal information chatbot",[173],{"name":211,"anonymized":180,"country":212,"region":182,"industry":18},"People's Law School","CA",[214,217],{"name":215,"role":216},"OpenAI","model-provider",{"name":218,"role":186},"Tangowork","Beagle+ is a chatbot from People's Law School, a nonprofit society in British Columbia, that guides residents to relevant, high quality legal information drawn from the organisation's own People's Law School and Dial-A-Law content. First launched in 2020 on the Rasa conversational AI framework, it was relaunched in February 2024 as Beagle+, running on OpenAI's ChatGPT with retrieval limited to the organisation's own curated content through a Pinecone vector database, so answers stay grounded in vetted legal information rather than the model's general knowledge. During development, the organisation created a 42 question test set to improve the chatbot's accuracy and helpfulness, and published the dataset to help others.",[27],[192],[],[224,227],{"url":225,"title":226,"publisher":211},"https://www.peopleslawschool.ca/about/beagle/","Beagle+ explainer",{"url":228,"title":229,"publisher":211},"https://www.peopleslawschool.ca/about/","About People's Law School",{"level":203,"checkedAt":162},"peoples-law-school-bc-beagle-plus-chatbot",0,[],{"low":235,"high":236},41666.666666666664,1125000,[238,276,298,319],{"slug":160,"title":239,"shortTitle":240,"definition":241,"status":9,"industries":242,"functions":243,"patterns":246,"audience":28,"autonomy":248,"adoptionStage":249,"evidenceCount":64,"publicEvidenceCount":250,"organizations":251,"bestGrade":204,"headline":265,"lastVerified":274,"indexable":275},"AI assistant for citizen information and government services","Citizen information assistant","An AI assistant that answers residents' and businesses' questions about government services in plain language, grounded only in official guidance with links to the source, points them to the right online service or office, and hands anything personal, urgent or outside its content to a human with the context attached.",[18],[21,244,245],"customer-service","knowledge-management",[23,24,247,25],"voice-agent","supervised-agent","mainstream",13,[252,253,254,255,256,257,258,259,260,261,262,263,264],"Abu Dhabi Government (TAMM)","Change Please","Dubai Police","Driver and Vehicle Licensing Agency","Estonian Information System Authority (RIA)","Foreign, Commonwealth and Development Office","Gemeente Tilburg","Ghana National Disaster Management Organisation","Government Digital Service","Government of the City of Buenos Aires","Madrid Destino","Ministério da Gestão e da Inovação em Serviços Públicos (MGI)","Montgomery County Government",{"kpi":266,"label":267,"unit":268,"n":269,"nUpTo":232,"kind":270,"value":271,"qualifier":272,"claimant":273,"organization":257,"vendorReported":180},"accuracy","Accuracy","percent",1,"reported",76,"at-least","organization","2026-09-27",true,{"slug":161,"title":277,"shortTitle":278,"definition":279,"status":9,"industries":280,"functions":281,"patterns":283,"audience":28,"autonomy":287,"adoptionStage":30,"evidenceCount":288,"publicEvidenceCount":288,"organizations":289,"bestGrade":204,"headline":206,"lastVerified":297,"indexable":275},"AI translation and interpretation for multilingual public services","Public service translation","AI that translates government content, documents and conversations between officials and the public, in writing and in real time speech, so people can use public services in their own language, with human translators and interpreters reviewing what carries legal or safety weight.",[18],[21,244,282],"operations",[284,24,285,286],"translation","speech-analytics","document-processing","copilot",9,[290,291,292,293,294,262,264,295,296],"Baltimore City 911 (Emergency Communications)","Delaware County","European Commission","Federal Emergency Management Agency","Internal Revenue Service","U.S. Customs and Border Protection","U.S. Department of State (Bureau of Consular Affairs)","2026-09-26",{"slug":299,"title":300,"shortTitle":301,"definition":302,"status":9,"industries":303,"functions":304,"patterns":306,"audience":28,"autonomy":248,"adoptionStage":249,"evidenceCount":307,"publicEvidenceCount":307,"organizations":308,"bestGrade":315,"headline":316,"lastVerified":297,"indexable":275},"tax-questions-and-filing-assistant","AI assistant for tax questions and filing support","Tax questions and filing assistant","An AI assistant that answers taxpayers' questions about taxes, deadlines, refunds and payments, lets authenticated taxpayers check their status or set up a payment plan within set rules, and guides them through filing, while assessments, penalties and disputes stay with the tax authority's staff and systems.",[18],[21,244,305],"finance-and-accounting",[24,247,23,25],8,[309,310,311,312,294,313,314],"Canada Revenue Agency","ClearTax","HM Revenue and Customs","H&R Block","Kenya Revenue Authority","Zakat, Tax and Customs Authority (ZATCA)","A",{"kpi":266,"label":267,"unit":268,"n":269,"nUpTo":232,"kind":270,"value":317,"qualifier":318,"claimant":273,"organization":311,"vendorReported":180},83.03,"exact",{"slug":320,"title":321,"shortTitle":322,"definition":323,"status":9,"industries":324,"functions":325,"patterns":327,"audience":329,"autonomy":287,"adoptionStage":30,"evidenceCount":330,"publicEvidenceCount":330,"organizations":331,"bestGrade":204,"headline":206,"lastVerified":297,"indexable":275},"freedom-of-information-request-processing","AI for freedom of information request processing","Freedom of information requests","AI that helps a public body handle freedom of information and open government requests: logging and clarifying requests, spotting duplicates, searching and deduplicating the records in scope, proposing redactions with the exemption that applies, and drafting the response letter, with an FOI officer deciding what is released.",[18],[21,20,326],"case-management",[286,25,328],"content-generation","employee-facing",6,[332,333,334,335,336,337],"U.S. Department of Justice","U.S. Food and Drug Administration, Center for Drug Evaluation and Research","National Transportation Safety Board","Provincie Noord-Holland","Securities and Exchange Commission","U.S. Department of the Interior",{"indexable":275,"reasons":339},[],[341,348,353,360,367,374,380,387,395,401,408,414,420,426,433,439,445,451,456,462,469,476,481,486,491,498,503,508,515,520,527,534,540,547,552,557],{"id":134,"label":342,"issuer":343,"region":344,"url":345,"description":346,"useCases":347,"indexable":275},"EU AI Act","European Union","europe","https://eur-lex.europa.eu/eli/reg/2024/1689/oj","Regulation (EU) 2024/1689: risk based rules for AI systems, with obligations for high risk systems listed in Annex III and transparency duties under Article 50.",250,{"id":135,"label":349,"issuer":343,"region":344,"url":350,"description":351,"useCases":352,"indexable":275},"GDPR","https://eur-lex.europa.eu/eli/reg/2016/679/oj","General Data Protection Regulation, including Article 22 on decisions based solely on automated processing.",223,{"id":136,"label":354,"issuer":355,"region":356,"url":357,"description":358,"useCases":359,"indexable":275},"ISO/IEC 42001","ISO and IEC","global","https://www.iso.org/standard/81230.html","The international management system standard for AI.",127,{"id":361,"label":362,"issuer":363,"region":182,"url":364,"description":365,"useCases":366,"indexable":275},"nist-ai-rmf","NIST AI Risk Management Framework","NIST","https://www.nist.gov/itl/ai-risk-management-framework","Voluntary US framework to map, measure, manage and govern AI risk, with a generative AI profile.",95,{"id":368,"label":369,"issuer":370,"region":344,"url":371,"description":372,"useCases":373,"indexable":275},"uk-gdpr","UK GDPR","Information Commissioner's Office","https://ico.org.uk/for-organisations/uk-gdpr-guidance-and-resources/","The UK's version of the GDPR, including rules on solely automated decisions.",73,{"id":375,"label":376,"issuer":343,"region":344,"url":377,"description":378,"useCases":379,"indexable":275},"dora","DORA","https://eur-lex.europa.eu/eli/reg/2022/2554/oj","Digital Operational Resilience Act for financial entities: ICT risk, incident reporting and third party risk, including AI providers.",67,{"id":381,"label":382,"issuer":383,"region":344,"url":384,"description":385,"useCases":386,"indexable":275},"uk-consumer-duty","FCA Consumer Duty","Financial Conduct Authority","https://www.fca.org.uk/firms/consumer-duty","UK rules that require firms to deliver good outcomes for retail customers, including through automated channels.",50,{"id":388,"label":389,"issuer":390,"region":391,"url":392,"description":393,"useCases":394,"indexable":275},"mas-ai-risk-management","MAS AI risk management guidelines","Monetary Authority of Singapore","asia-pacific","https://www.mas.gov.sg/news/media-releases/2025/mas-guidelines-for-artificial-intelligence-risk-management","Singapore's supervisory expectations for AI risk management at financial institutions, building on the FEAT principles.",37,{"id":396,"label":397,"issuer":398,"region":391,"url":399,"description":400,"useCases":70,"indexable":275},"apra-cps-230","APRA CPS 230","Australian Prudential Regulation Authority","https://www.apra.gov.au/operational-risk-management","Australian operational risk standard covering critical operations and material service providers.",{"id":402,"label":403,"issuer":404,"region":356,"url":405,"description":406,"useCases":407,"indexable":275},"pci-dss","PCI DSS","PCI Security Standards Council","https://www.pcisecuritystandards.org/","Security standard for any system that stores, processes or transmits cardholder data.",22,{"id":409,"label":410,"issuer":411,"region":182,"url":412,"description":413,"useCases":407,"indexable":275},"us-sr-11-7","SR 11-7 model risk management","Federal Reserve and OCC","https://www.federalreserve.gov/boarddocs/srletters/2011/sr1107.htm","US supervisory guidance on model risk management, applied by banks to AI and machine learning models.",{"id":415,"label":416,"issuer":343,"region":344,"url":417,"description":418,"useCases":419,"indexable":275},"nis2","NIS2 Directive","https://eur-lex.europa.eu/eli/dir/2022/2555/oj","Directive (EU) 2022/2555 on cybersecurity for essential and important entities, including telecom networks, energy and public administration.",17,{"id":421,"label":422,"issuer":423,"region":344,"url":424,"description":425,"useCases":419,"indexable":275},"uk-atrs","UK Algorithmic Transparency Recording Standard","UK Government","https://www.gov.uk/government/collections/algorithmic-transparency-recording-standard-hub","Mandatory transparency records for algorithmic tools used by UK central government.",{"id":427,"label":428,"issuer":429,"region":182,"url":430,"description":431,"useCases":432,"indexable":275},"hipaa","HIPAA","US Department of Health and Human Services","https://www.hhs.gov/hipaa/index.html","US rules for the privacy and security of protected health information.",16,{"id":434,"label":435,"issuer":436,"region":356,"url":437,"description":438,"useCases":64,"indexable":275},"fatf-recommendations","FATF Recommendations","Financial Action Task Force","https://www.fatf-gafi.org/en/publications/Fatfrecommendations/Fatf-recommendations.html","Global standards for anti money laundering and counter terrorist financing that national rules implement.",{"id":440,"label":441,"issuer":343,"region":344,"url":442,"description":443,"useCases":444,"indexable":275},"eu-amlr","EU Anti Money Laundering Regulation","https://eur-lex.europa.eu/eli/reg/2024/1624/oj","Regulation (EU) 2024/1624: the single EU rulebook for customer due diligence, beneficial ownership and suspicious transaction reporting.",14,{"id":446,"label":447,"issuer":448,"region":182,"url":449,"description":450,"useCases":250,"indexable":275},"us-bsa","Bank Secrecy Act","FinCEN","https://www.fincen.gov/resources/statutes-and-regulations/bank-secrecy-act","US anti money laundering law: customer due diligence, suspicious activity reports and record keeping.",{"id":452,"label":453,"issuer":343,"region":344,"url":454,"description":455,"useCases":250,"indexable":275},"eu-accessibility-act","European Accessibility Act","https://eur-lex.europa.eu/eli/dir/2019/882/oj","Directive (EU) 2019/882: accessibility requirements for banking services, ecommerce and other digital services, applicable since June 2025.",{"id":457,"label":458,"issuer":459,"region":182,"url":460,"description":461,"useCases":250,"indexable":275},"us-tcpa","Telephone Consumer Protection Act","Federal Communications Commission","https://www.fcc.gov/consumers/guides/stop-unwanted-robocalls-and-texts","US consent rules for automated and prerecorded calls and texts; the FCC has confirmed AI generated voices count as artificial voices.",{"id":463,"label":464,"issuer":465,"region":356,"url":466,"description":467,"useCases":468,"indexable":275},"telecom-consumer-rules","Telecom consumer protection rules","National telecom regulators","https://www.berec.europa.eu/","National rules on telecom contracts, switching, billing disputes and marketing consent.",12,{"id":470,"label":471,"issuer":472,"region":182,"url":473,"description":474,"useCases":475,"indexable":275},"us-ecoa-reg-b","ECOA and Regulation B","Consumer Financial Protection Bureau","https://www.consumerfinance.gov/rules-policy/regulations/1002/9/","US fair lending rules, including specific reasons in adverse action notices, which also apply when credit decisions use AI models.",11,{"id":477,"label":478,"issuer":343,"region":344,"url":479,"description":480,"useCases":475,"indexable":275},"eecc","European Electronic Communications Code","https://eur-lex.europa.eu/eli/dir/2018/1972/oj","Directive (EU) 2018/1972: consumer protection, contract, switching and security rules for telecom operators.",{"id":482,"label":483,"issuer":343,"region":344,"url":484,"description":485,"useCases":475,"indexable":275},"eu-psd2","PSD2","https://eur-lex.europa.eu/eli/dir/2015/2366/oj","Payment Services Directive 2: strong customer authentication, transaction risk analysis exemptions and open banking access.",{"id":487,"label":488,"issuer":343,"region":344,"url":489,"description":490,"useCases":475,"indexable":275},"solvency-ii","Solvency II","https://eur-lex.europa.eu/eli/dir/2009/138/oj","Directive 2009/138/EC: risk based capital, governance and model requirements for insurers.",{"id":492,"label":493,"issuer":494,"region":344,"url":495,"description":496,"useCases":497,"indexable":275},"eba-loan-origination","EBA Guidelines on loan origination and monitoring","European Banking Authority","https://www.eba.europa.eu/regulation-and-policy/credit-risk/guidelines-on-loan-origination-and-monitoring","Expectations for credit decisioning, including the use of automated models.",10,{"id":499,"label":500,"issuer":390,"region":391,"url":501,"description":502,"useCases":497,"indexable":275},"mas-notice-626","MAS Notice 626","https://www.mas.gov.sg/regulation/notices/notice-626","Singapore's anti money laundering and counter terrorism financing requirements for banks.",{"id":504,"label":505,"issuer":343,"region":344,"url":506,"description":507,"useCases":497,"indexable":275},"mifid-ii","MiFID II","https://eur-lex.europa.eu/eli/dir/2014/65/oj","Directive 2014/65/EU on markets in financial instruments: suitability and appropriateness of advice, record keeping and product governance.",{"id":509,"label":510,"issuer":511,"region":182,"url":512,"description":513,"useCases":514,"indexable":275},"us-fcra","Fair Credit Reporting Act","Federal Trade Commission","https://www.ftc.gov/legal-library/browse/statutes/fair-credit-reporting-act","US rules on consumer reports, their accuracy and permissible use, relevant to credit scoring and screening.",7,{"id":516,"label":517,"issuer":343,"region":344,"url":518,"description":519,"useCases":514,"indexable":275},"eu-idd","Insurance Distribution Directive","https://eur-lex.europa.eu/eli/dir/2016/97/oj","Directive (EU) 2016/97: conduct rules for selling insurance, including demands and needs testing and advice.",{"id":521,"label":522,"issuer":523,"region":524,"url":525,"description":526,"useCases":63,"indexable":275},"cbuae-ai-guidance","CBUAE guidance on AI and ML","Central Bank of the UAE","middle-east","https://www.centralbank.ae/","UAE central bank expectations for the enabling technologies, AI and machine learning used by licensed financial institutions.",{"id":528,"label":529,"issuer":530,"region":344,"url":531,"description":532,"useCases":533,"indexable":275},"pra-ss1-23","PRA SS1/23 model risk management","Prudential Regulation Authority","https://www.bankofengland.co.uk/prudential-regulation/publication/2023/may/model-risk-management-principles-for-banks-ss","UK model risk management principles for banks, covering AI and machine learning models.",4,{"id":535,"label":536,"issuer":537,"region":344,"url":538,"description":539,"useCases":533,"indexable":275},"uk-psr-app-reimbursement","UK APP scam reimbursement rules","Payment Systems Regulator","https://www.psr.org.uk/our-work/app-scams/","Mandatory reimbursement of authorised push payment scam victims by UK payment firms, which shifts scam losses onto banks.",{"id":541,"label":542,"issuer":543,"region":391,"url":544,"description":545,"useCases":546,"indexable":275},"au-scams-prevention-framework","Australian Scams Prevention Framework","Australian Treasury","https://treasury.gov.au/consultation/c2024-573813","Economy wide obligations for banks, telcos and digital platforms to prevent, detect, disrupt and respond to scams.",3,{"id":548,"label":549,"issuer":343,"region":344,"url":550,"description":551,"useCases":546,"indexable":275},"eu-mar","EU Market Abuse Regulation","https://eur-lex.europa.eu/eli/reg/2014/596/oj","Regulation (EU) 596/2014: insider dealing and market manipulation, including the duty to detect and report suspicious orders and transactions.",{"id":553,"label":554,"issuer":343,"region":344,"url":555,"description":556,"useCases":546,"indexable":275},"eu-mortgage-credit-directive","EU Mortgage Credit Directive","https://eur-lex.europa.eu/eli/dir/2014/17/oj","Directive 2014/17/EU: creditworthiness assessment, disclosure and advice rules for residential mortgage lending.",{"id":558,"label":559,"issuer":560,"region":182,"url":561,"description":562,"useCases":546,"indexable":275},"nyc-local-law-144","NYC Local Law 144","New York City","https://www.nyc.gov/site/dca/about/automated-employment-decision-tools.page","Bias audits and notices for automated employment decision tools used in hiring and promotion in New York City.",1790783085977]