{"id":762,"date":"2026-07-31T07:02:48","date_gmt":"2026-07-31T07:02:48","guid":{"rendered":"https:\/\/topwardsolutions.com\/?p=762"},"modified":"2026-07-31T07:02:48","modified_gmt":"2026-07-31T07:02:48","slug":"why-governments-and-enterprises-are-automating-policy-monitoring","status":"publish","type":"post","link":"https:\/\/topwardsolutions.com\/?p=762","title":{"rendered":"Why Governments and Enterprises Are Automating Policy Monitoring"},"content":{"rendered":"<p>Your Guide to AI Legislative Tracking and Analysis Software<br \/>\n<img decoding=\"async\" class='wp-post-image' style='display: block;margin-left:auto;margin-right:auto;' width=\"600px\" alt=\"AI legislative tracking and analysis software\" 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\"\/><\/p>\n<p>A policy team urgently needs to know if a newly proposed state bill contains language affecting their high-risk AI system deployment. <strong>AI legislative tracking and analysis software<\/strong> automatically ingests and parses legislative text from multiple jurisdictions, identifying and flagging clauses relevant to specific AI system classifications. The software then applies natural language processing to summarize changes and compare them against existing legal frameworks, allowing the team to immediately prioritize compliance tasks. This enables a single analyst to monitor dozens of bills simultaneously, transforming a reactive, manual search into a proactive, structured workflow.<\/p>\n<h2>Why Governments and Enterprises Are Automating Policy Monitoring<\/h2>\n<p>Governments and enterprises automate policy monitoring because manual tracking of AI-specific legislative changes is impossibly slow and error-prone. AI legislative tracking software ingests thousands of bills and amendments in real time, cross-referencing them against an organization\u2019s internal policies instantly. This eliminates the lag between a legal update and a compliance action, reducing liability. <strong>Why automate this process?<\/strong> Because static compliance teams cannot compete with the velocity of AI regulation; software ensures that no critical mandate is missed and that response times shrink from weeks to minutes. A short Q&#038;A: Q: Does this replace human judgment? A: No, but it prioritizes threats and surfaces actionable changes so humans focus only on decisions, not data gathering.<\/p>\n<div style=\"text-align:center\">\n<iframe loading=\"lazy\" width=\"562\" height=\"312\" src=\"https:\/\/www.youtube.com\/embed\/sYqp32we1bw\" frameborder=\"0\" alt=\"AI legislative tracking and analysis software\" allowfullscreen><\/iframe>\n<\/div>\n<h3>The Shift from Manual Scanning to Real-Time Surveillance<\/h3>\n<p>The shift from manual scanning to real-time surveillance means you no longer spend weekends combing through PDF alerts. Instead, <strong>automated regulatory surveillance<\/strong> constantly monitors legislative feeds, instantly flagging changes to specific policy clauses. You get a live dashboard showing a bill\u2019s status as it\u2019s amended, rather than a weekly digest. Manual scanning often missed subtle language shifts between versions; real-time tools catch those mid-cycle. <mark>Contextual alerts<\/mark> replace keyword hunts, so you see only material updates. The difference is simple: one is checking the fridge each hour, the other has a smart sensor that pings you the moment the milk\u2019s gone.<\/p>\n<h3>How Compliance Teams Struggle Without Centralized Tools<\/h3>\n<p>Without centralized tools, compliance teams face fragmented workflows where policy documents are scattered across shared drives, emails, and spreadsheets. This forces manual cross-referencing of legislative changes, leading to <strong>critical oversight gaps<\/strong> when updates are missed or applied inconsistently. Analysts waste hours reconciling conflicting versions of the same policy, delaying response times to regulatory shifts. <em>The absence of a unified dashboard also prevents teams from tracking which obligations have been reviewed, creating blind spots in audit trails.<\/em> This siloed approach exacerbates coordination errors, as legal, risk, and operations units operate on outdated information, eroding the reliability of their monitoring efforts.<\/p>\n<h2>Core Capabilities of a Modern Regulation-Monitoring Platform<\/h2>\n<p>A modern regulation-monitoring platform for AI legislative tracking must offer <strong>real-time semantic monitoring<\/strong> across global regulatory bodies, automatically classifying new bills by specific AI risk categories like training data provenance or model transparency. Core capabilities include <strong>proactive impact scoring<\/strong> that maps proposed text to an organization\u2019s existing compliance obligations, flagging <strong>high-priority amendments<\/strong> that alter key definitions for \u201chigh-risk AI.\u201d The software should provide <mark>granular diff tracking at the clause level<\/mark>, not just bill summaries, enabling legal teams to pinpoint exact language changes. A mature platform also integrates <strong>automated obligation extraction<\/strong>, converting regulatory text into actionable tasks with deadlines. Crucially, it must support <strong>cross-jurisdiction consistency checks<\/strong>, showing how a draft EU Act aligns with emerging state-level AI laws to prevent fragmented interpretations.<\/p>\n<h3>Automated Bill Detection Across Domestic and Multinational Jurisdictions<\/h3>\n<p>Automated bill detection across domestic and multinational jurisdictions enables a platform to simultaneously monitor legislative dockets from federal, state, and foreign governmental sources, ingesting proposed texts as they are published. This requires parsing distinct document structures, legislative identifiers, and procedural stages specific to each jurisdiction. <strong>Cross-jurisdictional legislative monitoring<\/strong> relies on configurable filters to track bills by policy area or sponsor across multiple parliaments. <em>Detection must account for varied update frequencies, from daily releases to unannounced amendments.<\/em> A unified dashboard then correlates these disparate legislative actions for user review.<\/p>\n<ul>\n<li>Ingests bill metadata from APIs and web scrapers of national legislatures, state assemblies, and supranational bodies like the EU.<\/li>\n<li>Maps local legislative stages (e.g., \u201creading,\u201d \u201ccommittee referral\u201d) into a standardized status taxonomy.<\/li>\n<li>Compares identical or mirrored bill text across jurisdictions using semantic similarity algorithms.<\/li>\n<li>Flags conflicting legislative timelines, such as overlapping comment periods in different countries.<\/li>\n<\/ul>\n<h3>Natural Language Processing for Parsing Complex Legal Text<\/h3>\n<p>Natural Language Processing for parsing complex legal text within a modern regulation-monitoring platform converts ambiguous statutory language into structured, machine-readable data. This involves <strong>deep syntactic parsing<\/strong> to resolve nested clauses and cross-references, which rule-based systems often miss. It enables extraction of defined terms, obligations, and conditional logic, allowing users to track specific mandates rather than scanning full documents. The software disambiguates homonyms and interprets modal verbs like &#8220;shall&#8221; versus &#8220;may&#8221; to determine compliance requirements.<\/p>\n<ul>\n<li>Hierarchical decomposition of multi-part definitions and exceptions<\/li>\n<li>Coreference resolution to link pronouns and ambiguous terms to their legal antecedents<\/li>\n<li>Dependency parsing to map long-range syntactic relationships in compound sentences<\/li>\n<li>Semantic role labeling for identifying agent, action, and object in regulatory statements<\/li>\n<\/ul>\n<h3>Version Control and Amendment Tracking in Pending Legislation<\/h3>\n<p>AI legislative tracking software provides <strong>real-time amendment versioning<\/strong> that captures every textual change to a bill as it moves through committee markup. The platform automatically compares successive drafts, highlighting inserted, deleted, or altered clauses with precise diff annotations. Users can trace the evolution of a single provision across multiple revisions, attributing each change to its legislative sponsor and action date. <em>This granular lineage prevents misinterpretation of intent when a mid-session amendment alters the operative language of a prior section.<\/em><\/p>\n<ul>\n<li>Instant diff visualizations between any two bill versions, including strike-and-insert formatting<\/li>\n<li>Metadata tagging of each amendment with sponsor, vote count, and effective date of change<\/li>\n<li>Rollback functionality to restore prior language sets for compliance comparison<\/li>\n<li>Automatic alerts when a specific clause or citation is modified in pending legislation<\/li>\n<\/ul>\n<h2>Key Differentiators Separating Top-Tier Solutions<\/h2>\n<p>Top-tier AI legislative tracking software differentiates itself through <strong>predictive impact scoring<\/strong>, which ranks bills by how directly they affect your specific industry or organization. Instead of a raw feed, these solutions offer <strong>automated, customizable alerts<\/strong> with <strong><mark>natural language summaries of proposed amendments<\/mark><\/strong>, saving hours of manual review. The best tools also provide <strong>real-time stakeholder mapping<\/strong>, showing you which committee members or lobbyists are linked to a bill\u2019s progress. A key differentiator is <strong>cross-jurisdictional pattern recognition<\/strong>, where the AI connects similar language across state, federal, and international legislation, giving you a heads-up on emerging regulatory trends before they become isolated problems.<\/p>\n<h3>Customizable Alerts Based on Industry, Region, or Keyword Sets<\/h3>\n<p>Top-tier AI legislative tracking platforms differentiate themselves through granular <strong>customizable alert parameters<\/strong> that filter legislative noise. Users define triggers by selecting specific <mark>industry verticals<\/mark>, geopolitical regions, or bespoke keyword sets. Alerts then follow a precise sequence: first, the AI scans bill text against the user\u2019s saved criteria; second, it cross-references the match with historical relevance scoring; third, it delivers a ranked notification with the exact clause matched. This eliminates irrelevant updates, ensuring only material changes\u2014such as a targeted industry term appearing in a regional committee amendment\u2014trigger an alert.<\/p>\n<h3>Integration with Existing Compliance and Risk Management Systems<\/h3>\n<p>Top-tier AI legislative tracking software distinguishes itself through <strong>seamless API-driven interoperability<\/strong> with existing GRC platforms. It directly ingests compliance control frameworks (e.g., NIST, ISO) to map regulatory changes to specific obligations. Integration follows a logical sequence: <\/p>\n<ol>\n<li>Bidirectional data synchronization eliminates manual updates between the tracker and risk registers.<\/li>\n<li>Automated rule engines trigger alerts within the RMS when a legislative change alters a <mark>control score<\/mark>.<\/li>\n<li>Direct linking to audit trails ensures every regulatory delta is logged against the organization\u2019s risk taxonomy without altering native workflows.<\/li>\n<\/ol>\n<p>This fusion transforms raw legislative signals into actionable risk adjustments, ensuring the tracker operates as a feed, not a silo.<\/p>\n<h3>Sentiment and Impact Analysis of Proposed Legal Changes<\/h3>\n<p>Top-tier solutions distinguish themselves by performing <strong>automated stakeholder sentiment analysis<\/strong> on proposed legal changes, quantifying not just public opinion but also corporate lobbying positions and advocacy group reactions. This layer directly models the probability of amendment success or legislative stall. By cross-referencing sentiment data with historical impact scores from analogous bills, the software forecasts which provisions face ratification hurdles and which will likely survive intact. This allows users to predict resource allocation needs\u2014such as legal team preparation for contested clauses\u2014based on empirical sentiment volatility rather than speculation.<\/p>\n<blockquote><p>Sentiment and Impact Analysis transforms raw bill text into actionable risk assessments by quantifying opposition strength and forecasting amendment outcomes, enabling proactive legal strategy adjustments.<\/p><\/blockquote>\n<h2>Use Cases Across Sectors<\/h2>\n<p>Across sectors, AI legislative tracking and analysis software transforms how organizations monitor policy. In healthcare, compliance teams use it to instantly flag privacy and telehealth bills, while financial firms map proposed regulations against their lending algorithms. Non-profits leverage the tool to track global human rights legislation, and tech companies monitor AI governance frameworks across jurisdictions. <strong>Q: How does a university benefit?<\/strong> A: By scanning state-level education bills for funding mandates and data privacy clauses that impact research. Meanwhile, energy sectors use it to anticipate emissions reporting requirements before they become law, and municipal planners track zoning amendments as they move through local councils.<\/p>\n<h3>Corporate Legal Departments Managing State-Level Privacy Laws<\/h3>\n<p>Corporate legal departments use AI legislative tracking software to operationalize compliance with the fragmented patchwork of state-level privacy laws. The tool automatically monitors amendments to statutes like the CCPA or CPA, flagging only those provisions that directly impact the company\u2019s specific data processing activities. This allows a legal team to <strong>automate state privacy law compliance mapping<\/strong>, instantly aligning internal policies with jurisdictional nuances without manual bill-by-bill review. Engineers receive precise, machine-readable updates to adjust consent flows or data retention schedules, turning reactive audits into <mark>proactive operational guardrails<\/mark>.<\/p>\n<blockquote><p>Corporate legal departments rely on AI tracking to transform state-level privacy law chaos into executable, jurisdiction-specific workflows.<\/p><\/blockquote>\n<h3>Government Affairs Teams Lobbying with Data-Driven Timelines<\/h3>\n<p>Government affairs teams use AI legislative tracking to build <strong>data-driven lobbying timelines<\/strong> that pinpoint precise intervention windows. By analyzing bill progression velocity, committee schedules, and amendment patterns, the software identifies when a proposed law will hit a critical vote or mark-up session. Teams then align their lobbying efforts\u2014sending targeted briefs or arranging meetings\u2014exactly when legislators are most undecided. <em>The tool\u2019s predictive analytics often compress a month of stakeholder outreach into a three-day strategic push.<\/em> This replaces reactive advocacy with a surgical, calendar-specific approach to influencing outcomes.<\/p>\n<blockquote><p>Government affairs teams leverage AI-driven legislative tracking to schedule lobbying actions around empirically identified political windows, enabling targeted influence when decisions are most malleable.<\/p><\/blockquote>\n<h3>NGOs and Advocacy Groups Monitoring Environmental Regulations<\/h3>\n<p>NGOs and advocacy groups use AI legislative tracking to monitor environmental regulations by setting automated alerts for specific policy language on emissions standards or protected habitats. This software scans thousands of bills daily, flagging only those amendments that directly affect their conservation or compliance campaigns. <em>The tool\u2019s pattern recognition helps these groups identify weakening loopholes in proposed rules that human reviewers might miss.<\/em> <strong>Environmental regulatory vigilance<\/strong> thus becomes proactive: teams receive real-time updates on committee votes or public comment periods, allowing them to mobilize advocacy resources precisely when interventions can shift outcomes.<\/p>\n<h2>Data Sources and Coverage Considerations<\/h2>\n<p>For AI legislative tracking software, the core data source is the primary legislative body&#8217;s official API or structured bulk data feed, such as GovTrack or congress.gov for U.S. federal bills. Coverage considerations must verify that the source captures all relevant legislative stages (introduction, committee referral, amendments, votes) and sub-national jurisdictions, as many AI bills originate at state or local levels. A critical gap to audit is whether your source indexes bill text for vectorized search, not just metadata. <strong>Q: How do you validate complete coverage across 50 state legislatures? A: Cross-reference your software\u2019s legislative ID list against the National Conference of State Legislatures (NCSL) AI bill database monthly.<\/strong> Avoid relying on aggregated news or RSS feeds, as they introduce latency and filtering bias that undermines timestamp accuracy for legislative action sequences.<\/p>\n<h3>Aggregating from Official Gazettes, State Registries, and Municipal Portals<\/h3>\n<p>Aggregating from official gazettes, state registries, and municipal portals is foundational for AI legislative tracking, as these sources contain the legally binding text of enacted laws and administrative actions. The software must parse inconsistent document formats\u2014such as PDFs, HTML pages, and XML feeds\u2014and normalize metadata for jurisdiction, effective date, and status. This requires automated scraping that respects crawler policies and handles frequent publication schedule changes. <strong>Raw legislative text aggregation<\/strong> from these primary sources ensures data integrity, as it bypasses secondary interpretations. Without direct aggregation from these registries, the platform risks missing local ordinance updates or obscure statutory amendments.<\/p>\n<p><strong>Q: How does the software handle daily variance in update frequency across state registries?<\/strong><br \/>A: It adjusts polling intervals based on each registry\u2019s historical publication rhythm, using timestamp comparisons to detect new entries without overloading servers.<\/p>\n<h3>Handling Multilingual Legislation and Regional Syntax Variations<\/h3>\n<p>Effective <strong>multilingual legislation parsing<\/strong> requires AI models to reconcile divergent syntactic structures, such as German compound nouns versus French nominal phrases, while preserving legal precision. Regional syntax variations, like Canadian bilingual formatting or Swiss legislative code-switching, demand tokenization rules that respect both EU drafting conventions and local drafting idiosyncrasies. <em>The system must map synonym-based legal terms across languages without conflating false cognates, as in &#8220;liability&#8221; versus &#8220;responsabilit\u00e9.&#8221;<\/em> A parallel corpus alignment technique anchors cross-jurisdictional clauses to a shared ontology, enabling accurate cross-referencing despite clause numbering or conjunction differences.<\/p>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' width=\"605px\" alt=\"AI legislative tracking and analysis software\" 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xkR1V1T05JNjdxWlVFR2Y0dGg2YXhMVmF6eFhnb3RUREdNOEJEZUNadyIgLz4KPG1ldGEgbmFtZT0iY3NwLW5vbmNlIiAvPgoKICA8c2NyaXB0PgogICAgd2luZG93LnZhcGlkUHVibGljS2V5ID0gbmV3IFVpbnQ4QXJyYXkoWzQsIDE4NiwgNDEsIDEwMCwgMjcsIDI3LCAyMTYsIDEzMywgMTgsIDIzNywgMTU0LCAyMzQsIDkxLCAyMzMsIDUwLCAxOTEsIDMwLCAxMjAsIDIyMCwgMTkyLCAxNjUsIDc3LCAxMiwgOTUsIDk4LCA2MiwgMjUxLCA3MSwgMTQ5LCAyNiwgODEsIDE2MywgMTk0LCA1NCwgMTMsIDMxLCAxMTgsIDg2LCAxNjQsIDEyMCwgNDksIDE1OCwgMzgsIDIyOCwgODMsIDE1NywgMTY1LCAxMDYsIDE3MSwgMTczLCA4OCwgNzEsIDEzOSwgNDEsIDkyLCAxOTYsIDE0MywgMzksIDIyMywgNTgsIDExLCA5NSwgMTUzLCAxNzQsIDE2MV0pOwogIDwvc2NyaXB0PgoKCgogIDxzY3JpcHQ+CiAgICB3aW5kb3cudmFwaWRQdWJsaWNLZXkgPSBuZXcgVWludDhBcnJheShbNCwgMTg2LCA0MSwgMTAwLCAyNywgMjcsIDIxNiwgMTMzLCAxOCwgMjM3LCAxNTQsIDIzNCwgOTEsIDIzMywgNTAsIDE5MSwgMzAsIDEyMCwgMjIwLCAxOTIsIDE2NSwgNzcsIDEyLCA5NSwgOTgsIDYyLCAyNTEsIDcxLCAxNDksIDI2LCA4MSwgMTYzLCAxOTQsIDU0LCAxMywgMzEsIDExOCwgODYsIDE2NCwgMTIwLCA0OSwgMTU4LCAzOCwgMjI4LCA4MywgMTU3LCAxNjUsIDEwNiwgMTcxLCAxNzMsIDg4LCA3MSwgMTM5LCA0MSwgOTIsIDE5NiwgMTQzLCAzOSwgMjIzLCA1OCwgMTEsIDk1LCAxNTMsIDE3NCwgMTYxXSk7CiAgPC9zY3JpcHQ+CgogICAgPGxpbmsgcmVsPSJpY29uIiB0eXBlPSJpbWFnZS94LWljb24iIGhyZWY9Imh0dHBzOi8vYXNzZXRzLXYzLmNpcmNsZS5zby96djFsaDd2dDlkajh4am1uZHp2cGI3MXRvaDY2IiAvPgogICAgPGxpbmsgcmVsPSJhcHBsZS10b3VjaC1pY29uIiB0eXBlPSJpbWFnZS94LWljb24iIGhyZWY9Imh0dHBzOi8vYXNzZXRzLXYzLmNpcmNsZS5zby96djFsaDd2dDlkajh4am1uZHp2cGI3MXRvaDY2IiAvPgogICAgPG1ldGEgbmFtZT0ibXNhcHBsaWNhdGlvbi1UaWxlSW1hZ2UiIGNvbnRlbnQ9Imh0dHBzOi8vYXNzZXRzLXYzLmNpcmNsZS5zby96djFsaDd2dDlkajh4am1uZHp2cGI3MXRvaDY2Ij48L21ldGE+Cgo8c3R5bGUgdHlwZT0idGV4dC9jc3MiPgogIDpyb290IHsKICAgIC0tYnJhbmQ6ICMwMDk5ZmY7CiAgICAtLWJyYW5kLWJ1dHRvbi10ZXh0OiAjRkZGRkZGOwogICAgLS1icmFuZC1saWdodDogIzgwZmZmZjsgCiAgICAtLWJyYW5kLWRhcms6ICMwMDgyZDk7CiAgfQo8L3N0eWxlPgoKCgogICAgPHNjcmlwdCBhc3luYyBzcmM9Imh0dHBzOi8vanMuc3RyaXBlLmNvbS92My8iPjwvc2NyaXB0PgoKICAgICAgPCEtLSBNZXRhIFBpeGVsIENvZGUgLS0+CjxzY3JpcHQ+CiFmdW5jdGlvbihmLGIsZSx2LG4sdCxzKQp7aWYoZi5mYnEpcmV0dXJuO249Zi5mYnE9ZnVuY3Rpb24oKXtuLmNhbGxNZXRob2Q\/Cm4uY2FsbE1ldGhvZC5hcHBseShuLGFyZ3VtZW50cyk6bi5xdWV1ZS5wdXNoKGFyZ3VtZW50cyl9OwppZighZi5fZmJxKWYuX2ZicT1uO24ucHVzaD1uO24ubG9hZGVkPSEwO24udmVyc2lvbj0nMi4wJzsKbi5xdWV1ZT1bXTt0PWIuY3JlYXRlRWxlbWVudChlKTt0LmFzeW5jPSEwOwp0LnNyYz12O3M9Yi5nZXRFbGVtZW50c0J5VGFnTmFtZShlKVswXTsKcy5wYXJlbnROb2RlLmluc2VydEJlZm9yZSh0LHMpfSh3aW5kb3csIGRvY3VtZW50LCdzY3JpcHQnLAonaHR0cHM6Ly9jb25uZWN0LmZhY2Vib29rLm5ldC9lbl9VUy9mYmV2ZW50cy5qcycpOwpmYnEoJ2luaXQnLCAnODY1NzcxMTUyNzg3MzIyJyk7CmZicSgndHJhY2snLCAnUGFnZVZpZXcnKTsKPC9zY3JpcHQ+Cjxub3NjcmlwdD48aW1nIGhlaWdodD0iMSIgd2lkdGg9IjEiIHN0eWxlPSJkaXNwbGF5Om5vbmUiCnNyYz0iaHR0cHM6Ly93d3cuZmFjZWJvb2suY29tL3RyP2lkPTg2NTc3MTE1Mjc4NzMyMiZldj1QYWdlVmlldyZub3NjcmlwdD0xIgovPjwvbm9zY3JpcHQ+CjwhLS0gRW5kIE1ldGEgUGl4ZWwgQ29kZSAtLT4KPHNjcmlwdD4KICBmYnEoJ3RyYWNrJywgJ1ZpZXdDb250ZW50Jyk7Cjwvc2NyaXB0Pgo8IS0tIFRpa1RvayBQaXhlbCBDb2RlIFN0YXJ0IC0tPgo8c2NyaXB0PgohZnVuY3Rpb24gKHcsIGQsIHQpIHsKICB3LlRpa3Rva0FuYWx5dGljc09iamVjdD10O3ZhciB0dHE9d1t0XT13W3RdfHxbXTt0dHEubWV0aG9kcz1bInBhZ2UiLCJ0cmFjayIsImlkZW50aWZ5IiwiaW5zdGFuY2VzIiwiZGVidWciLCJvbiIsIm9mZiIsIm9uY2UiLCJyZWFkeSIsImFsaWFzIiwiZ3JvdXAiLCJlbmFibGVDb29raWUiLCJkaXNhYmxlQ29va2llIiwiaG9sZENvbnNlbnQiLCJyZXZva2VDb25zZW50IiwiZ3JhbnRDb25zZW50Il0sdHRxLnNldEFuZERlZmVyPWZ1bmN0aW9uKHQsZSl7dFtlXT1mdW5jdGlvbigpe3QucHVzaChbZV0uY29uY2F0KEFycmF5LnByb3RvdHlwZS5zbGljZS5jYWxsKGFyZ3VtZW50cywwKSkpfX07Zm9yKHZhciBpPTA7aTx0dHEubWV0aG9kcy5sZW5ndGg7aSsrKXR0cS5zZXRBbmREZWZlcih0dHEsdHRxLm1ldGhvZHNbaV0pO3R0cS5pbnN0YW5jZT1mdW5jdGlvbih0KXtmb3IoCnZhciBlPXR0cS5faVt0XXx8W10sbj0wO248dHRxLm1ldGhvZHMubGVuZ3RoO24rKyl0dHEuc2V0QW5kRGVmZXIoZSx0dHEubWV0aG9kc1tuXSk7cmV0dXJuIGV9LHR0cS5sb2FkPWZ1bmN0aW9uKGUsbil7dmFyIHI9Imh0dHBzOi8vYW5hbHl0aWNzLnRpa3Rvay5jb20vaTE4bi9waXhlbC9ldmVudHMuanMiLG89biYmbi5wYXJ0bmVyO3R0cS5faT10dHEuX2l8fHt9LHR0cS5faVtlXT1bXSx0dHEuX2lbZV0uX3U9cix0dHEuX3Q9dHRxLl90fHx7fSx0dHEuX3RbZV09K25ldyBEYXRlLHR0cS5fbz10dHEuX298fHt9LHR0cS5fb1tlXT1ufHx7fTtuPWRvY3VtZW50LmNyZWF0ZUVsZW1lbnQoInNjcmlwdCIpCjtuLnR5cGU9InRleHQvamF2YXNjcmlwdCIsbi5hc3luYz0hMCxuLnNyYz1yKyI\/c2RraWQ9IitlKyImbGliPSIrdDtlPWRvY3VtZW50LmdldEVsZW1lbnRzQnlUYWdOYW1lKCJzY3JpcHQiKVswXTtlLnBhcmVudE5vZGUuaW5zZXJ0QmVmb3JlKG4sZSl9OwoKCiAgdHRxLmxvYWQoJ0NRODlKQkpDNzdVNFU5SDEzVkkwJyk7CiAgdHRxLnBhZ2UoKTsKfSh3aW5kb3csIGRvY3VtZW50LCAndHRxJyk7Cjwvc2NyaXB0Pgo8IS0tIFRpa1RvayBQaXhlbCBDb2RlIEVuZCAtLT4KCgo8IS0tIEdvb2dsZSB0YWcgKGd0YWcuanMpIC0tPgo8c2NyaXB0IGFzeW5jIHNyYz0iaHR0cHM6Ly93d3cuZ29vZ2xldGFnbWFuYWdlci5jb20vZ3RhZy9qcz9pZD1HLUNRQ1ExUUxSN1IiPjwvc2NyaXB0Pgo8c2NyaXB0PgogIHdpbmRvdy5kYXRhTGF5ZXIgPSB3aW5kb3cuZGF0YUxheWVyIHx8IFtdOwogIGZ1bmN0aW9uIGd0YWcoKXtkYXRhTGF5ZXIucHVzaChhcmd1bWVudHMpO30KICBndGFnKCdqcycsIG5ldyBEYXRlKCkpOwoKICBndGFnKCdjb25maWcnLCAnRy1DUUNRMVFMUjdSJyk7Cjwvc2NyaXB0PgoKCgoKICAgIAogICAgCiAgICA8bGluayByZWw9InN0eWxlc2hlZXQiIGhyZWY9Imh0dHBzOi8vYXNzZXQtcGlwZWxpbmUuY2lyY2xlLnNvL3BhY2tzL2Nzcy9zdHlsZXMtN2JlNGJjYTQuY3NzIiBtZWRpYT0iYWxsIiAvPgogICAgPGxpbmsgcmVsPSJwcmVsb2FkIiBocmVmPSIvYXNzZXRzL3Nwcml0ZS9pY29ucy0xMzc2NWY5Y2RjNmI0M2RiMGUwMWVlZDg0MTc2MzFmZWJhNmExZjA5ZTM2ZmMyMmU3Nzk5NzM5NTEzNmQ0N2Y0LnN2ZyIgYXM9ImZldGNoIj4KICAgICAgPHNjcmlwdD4KICAgIHdpbmRvdy5fX0NJUkNMRV9BU1NFVF9IT1NUX18gPSAiaHR0cHM6Ly9hc3NldC1waXBlbGluZS5jaXJjbGUuc28iOwogIDwvc2NyaXB0PgoKICAgIDxzY3JpcHQgc3JjPSJodHRwczovL2Fzc2V0LXBpcGVsaW5lLmNpcmNsZS5zby9wYWNrcy9qcy9ydW50aW1lLTlkY2Y4N2UwNmFiMTYyMWIuanMiPjwvc2NyaXB0Pgo8c2NyaXB0IHNyYz0iaHR0cHM6Ly9hc3NldC1waXBlbGluZS5jaXJjbGUuc28vcGFja3MvanMvNjM3NzgtODE3Mjc0OGU1ZGY2YjBkOC5qcyI+PC9zY3JpcHQ+CjxzY3JpcHQgc3JjPSJodHRwczovL2Fzc2V0LXBpcGVsaW5lLmNpcmNsZS5zby9wYWNrcy9qcy83NjI3MS1jZDNlMDhmMDYyZWMyZGY2LmpzIj48L3NjcmlwdD4KPHNjcmlwdCBzcmM9Imh0dHBzOi8vYXNzZXQtcGlwZWxpbmUuY2lyY2xlLnNvL3BhY2tzL2pzLzQ2MjQwLTkyZTg4MjU3ZTY0ZWJmNWMuanMiPjwvc2NyaXB0Pgo8c2NyaXB0IHNyYz0iaHR0cHM6Ly9hc3NldC1waXBlbGluZS5jaXJjbGUuc28vcGFja3MvanMvMTMxNjUtZjlhMDRlMjE4MDczMjY4NC5qcyI+PC9zY3JpcHQ+CjxzY3JpcHQgc3JjPSJodHRwczovL2Fzc2V0LXBpcGVsaW5lLmNpcmNsZS5zby9wYWNrcy9qcy85NjYwNy00OTZjMWNkNTg4Mjc4NjU3LmpzIj48L3NjcmlwdD4KPHNjcmlwdCBzcmM9Imh0dHBzOi8vYXNzZXQtcGlwZWxpbmUuY2lyY2xlLnNvL3BhY2tzL2pzLzM5NDc3LWU3MzM3YjlmOTk2OGNlNWEuanMiPjwvc2NyaXB0Pgo8c2NyaXB0IHNyYz0iaHR0cHM6Ly9hc3NldC1waXBlbGluZS5jaXJjbGUuc28vcGFja3MvanMvMjk1NC1jYTllNmU3NmIxMTgzNGEyLmpzIj48L3NjcmlwdD4KPHNjcmlwdCBzcmM9Imh0dHBzOi8vYXNzZXQtcGlwZWxpbmUuY2lyY2xlLnNvL3BhY2tzL2pzLzUxNzM1LTQ4NDNlZmUxNmYxMjA1YTcuanMiPjwvc2NyaXB0Pgo8c2NyaXB0IHNyYz0iaHR0cHM6Ly9hc3NldC1waXBlbGluZS5jaXJjbGUuc28vcGFja3MvanMvODkwMjgtODA0YWI3ODllZjRjMjE1ZC5qcyI+PC9zY3JpcHQ+CjxzY3JpcHQgc3JjPSJodHRwczovL2Fzc2V0LXBpcGVsaW5lLmNpcmNsZS5zby9wYWNrcy9qcy85NDkwOC1iN2MyYTQwZDkwZWNlZjkxLmpzIj48L3NjcmlwdD4KPHNjcmlwdCBzcmM9Imh0dHBzOi8vYXNzZXQtcGlwZWxpbmUuY2lyY2xlLnNvL3BhY2tzL2pzLzUwMTUwLWU2OTMxOGMxZWVjMTU5YzguanMiPjwvc2NyaXB0Pgo8c2NyaXB0IHNyYz0iaHR0cHM6Ly9hc3NldC1waXBlbGluZS5jaXJjbGUuc28vcGFja3MvanMvNzk0MjEtNWFiMDE3ZTg0MjI1Yzc1ZS5qcyI+PC9zY3JpcHQ+CjxzY3JpcHQgc3JjPSJodHRwczovL2Fzc2V0LXBpcGVsaW5lLmNpcmNsZS5zby9wYWNrcy9qcy80NjQyNi1mMTk0NWY5ZGQ5NmQ1ZmI0LmpzIj48L3NjcmlwdD4KPHNjcmlwdCBzcmM9Imh0dHBzOi8vYXNzZXQtcGlwZWxpbmUuY2lyY2xlLnNvL3BhY2tzL2pzLzg4MDI1LWM3YzYzNGY3NzM3MDczOGMuanMiPjwvc2NyaXB0Pgo8c2NyaXB0IHNyYz0iaHR0cHM6Ly9hc3NldC1waXBlbGluZS5jaXJjbGUuc28vcGFja3MvanMvODk3ODItYzY5NzcwYzJmZWY5Yzc1OC5qcyI+PC9zY3JpcHQ+CjxzY3JpcHQgc3JjPSJodHRwczovL2Fzc2V0LXBpcGVsaW5lLmNpcmNsZS5zby9wYWNrcy9qcy8zNzExOS1kZDJkNWZlNzFiMDg5MzYzLmpzIj48L3NjcmlwdD4KPHNjcmlwdCBzcmM9Imh0dHBzOi8vYXNzZXQtcGlwZWxpbmUuY2lyY2xlLnNvL3BhY2tzL2pzLzY5MzU2LTg0NDIyY2IxZDA3MDFiMzUuanMiPjwvc2NyaXB0Pgo8c2NyaXB0IHNyYz0iaHR0cHM6Ly9hc3NldC1waXBlbGluZS5jaXJjbGUuc28vcGFja3MvanMvMzk2NDAtODMzNmVlOTllNTA1YzY3ZC5qcyI+PC9zY3JpcHQ+CjxzY3JpcHQgc3JjPSJodHRwczovL2Fzc2V0LXBpcGVsaW5lLmNpcmNsZS5zby9wYWNrcy9qcy81NjA5MS03N2FmOTYwODZlNDZiMjMzLmpzIj48L3NjcmlwdD4KPHNjcmlwdCBzcmM9Imh0dHBzOi8vYXNzZXQtcGlwZWxpbmUuY2lyY2xlLnNvL3BhY2tzL2pzLzU4NjI5LWY2ZjQ2ZTMxMjcxNjAyOWIuanMiPjwvc2NyaXB0Pgo8c2NyaXB0IHNyYz0iaHR0cHM6Ly9hc3NldC1waXBlbGluZS5jaXJjbGUuc28vcGFja3MvanMvMjYxNzAtYTU5ZTNhNWRmYThkMjRkNy5qcyI+PC9zY3JpcHQ+CjxzY3JpcHQgc3JjPSJodHRwczovL2Fzc2V0LXBpcGVsaW5lLmNpcmNsZS5zby9wYWNrcy9qcy8xNDU0OC1hODJhNjY2MzczZjBlYTg1LmpzIj48L3NjcmlwdD4KPHNjcmlwdCBzcmM9Imh0dHBzOi8vYXNzZXQtcGlwZWxpbmUuY2lyY2xlLnNvL3BhY2tzL2pzLzgxNS1iY2VjNWI0ZDRlMWI4NGIwLmpzIj48L3NjcmlwdD4KPHNjcmlwdCBzcmM9Imh0dHBzOi8vYXNzZXQtcGlwZWxpbmUuY2lyY2xlLnNvL3BhY2tzL2pzLzQzMDMyLTBlYjhmMmI5YmY0ZmUxMWQuanMiPjwvc2NyaXB0Pgo8c2NyaXB0IHNyYz0iaHR0cHM6Ly9hc3NldC1waXBlbGluZS5jaXJjbGUuc28vcGFja3MvanMvODMwNi02MmRiNGNmZGJmNmRkNTJlLmpzIj48L3NjcmlwdD4KPHNjcmlwdCBzcmM9Imh0dHBzOi8vYXNzZXQtcGlwZWxpbmUuY2lyY2xlLnNvL3BhY2tzL2pzLzY2OTc2LWExY2U3YzgzYTBjMmFiYmMuanMiPjwvc2NyaXB0Pgo8c2NyaXB0IHNyYz0iaHR0cHM6Ly9hc3NldC1waXBlbGluZS5jaXJjbGUuc28vcGFja3MvanMvNTQyMDAtNzkxMDBjNGZhNDM4ZTM2Ny5qcyI+PC9zY3JpcHQ+CjxzY3JpcHQgc3JjPSJodHRwczovL2Fzc2V0LXBpcGVsaW5lLmNpcmNsZS5zby9wYWNrcy9qcy84MTI3MC0wMmI1Mjk3NTQ1N2NjOWZjLmpzIj48L3NjcmlwdD4KPHNjcmlwdCBzcmM9Imh0dHBzOi8vYXNzZXQtcGlwZWxpbmUuY2lyY2xlLnNvL3BhY2tzL2pzLzIxNzE3LTg1YjliZjYyNDg5ZTRiNDcuanMiPjwvc2NyaXB0Pgo8c2NyaXB0IHNyYz0iaHR0cHM6Ly9hc3NldC1waXBlbGluZS5jaXJjbGUuc28vcGFja3MvanMvODQ5NTQtMTAzN2I5ZTEyMjkyM2NiNy5qcyI+PC9zY3JpcHQ+CjxzY3JpcHQgc3JjPSJodHRwczovL2Fzc2V0LXBpcGVsaW5lLmNpcmNsZS5zby9wYWNrcy9qcy80MTQ4Ny0zZTc0YzczNjRjOGE3NmM3LmpzIj48L3NjcmlwdD4KPHNjcmlwdCBzcmM9Imh0dHBzOi8vYXNzZXQtcGlwZWxpbmUuY2lyY2xlLnNvL3BhY2tzL2pzLzU2MjExLWViNDhjNjRhMTNmODUxMDEuanMiPjwvc2NyaXB0Pgo8c2NyaXB0IHNyYz0iaHR0cHM6Ly9hc3NldC1waXBlbGluZS5jaXJjbGUuc28vcGFja3MvanMvNTIzNzgtMjZmNTI1ZTQ4NDUxNWIwMy5qcyI+PC9zY3JpcHQ+CjxzY3JpcHQgc3JjPSJodHRwczovL2Fzc2V0LXBpcGVsaW5lLmNpcmNsZS5zby9wYWNrcy9qcy80NTY0LWY1NTQ3NjFhNzM2MTQ3MjIuanMiPjwvc2NyaXB0Pgo8c2NyaXB0IHNyYz0iaHR0cHM6Ly9hc3NldC1waXBlbGluZS5jaXJjbGUuc28vcGFja3MvanMvMTU3MzctMzE3MTc3MGQwZGZhMTUwZi5qcyI+PC9zY3JpcHQ+CjxzY3JpcHQgc3JjPSJodHRwczovL2Fzc2V0LXBpcGVsaW5lLmNpcmNsZS5zby9wYWNrcy9qcy8zNjA0Ni0yOWI1MDcyMTc4ZjBhMTMyLmpzIj48L3NjcmlwdD4KPHNjcmlwdCBzcmM9Imh0dHBzOi8vYXNzZXQtcGlwZWxpbmUuY2lyY2xlLnNvL3BhY2tzL2pzLzY2Nzg0LTQyMDg2ODMwMDlhZTNlNDkuanMiPjwvc2NyaXB0Pgo8c2NyaXB0IHNyYz0iaHR0cHM6Ly9hc3NldC1waXBlbGluZS5jaXJjbGUuc28vcGFja3MvanMvODUwODktMDJhNjQ1MjQzNGIwMDYxZC5qcyI+PC9zY3JpcHQ+CjxzY3JpcHQgc3JjPSJodHRwczovL2Fzc2V0LXBpcGVsaW5lLmNpcmNsZS5zby9wYWNrcy9qcy8yODYwNi02OTRhYWU1ZDFjMjI4NGMxLmpzIj48L3NjcmlwdD4KPHNjcmlwdCBzcmM9Imh0dHBzOi8vYXNzZXQtcGlwZWxpbmUuY2lyY2xlLnNvL3BhY2tzL2pzLzYyNDc3LTY0OGQyMjIzZDA2NzU5ZGYuanMiPjwvc2NyaXB0Pgo8c2NyaXB0IHNyYz0iaHR0cHM6Ly9hc3NldC1waXBlbGluZS5jaXJjbGUuc28vcGFja3MvanMvMjA3NjgtZGMwZjFhN2NkMzZjOGViYy5qcyI+PC9zY3JpcHQ+CjxzY3JpcHQgc3JjPSJodHRwczovL2Fzc2V0LXBpcGVsaW5lLmNpcmNsZS5zby9wYWNrcy9qcy81MzE3My05MThmMmRkNTRmZTIwMWFlLmpzIj48L3NjcmlwdD4KPHNjcmlwdCBzcmM9Imh0dHBzOi8vYXNzZXQtcGlwZWxpbmUuY2lyY2xlLnNvL3BhY2tzL2pzLzUwODYyLTVjNTFjZDk2YjZiNjlmYzQuanMiPjwvc2NyaXB0Pgo8c2NyaXB0IHNyYz0iaHR0cHM6Ly9hc3NldC1waXBlbGluZS5jaXJjbGUuc28vcGFja3MvanMvMjI5MzAtMWQyYmE2NGU4Y2M2OWQ0MS5qcyI+PC9zY3JpcHQ+CjxzY3JpcHQgc3JjPSJodHRwczovL2Fzc2V0LXBpcGVsaW5lLmNpcmNsZS5zby9wYWNrcy9qcy80ODE0OS0yMGNjZWFhNDNhNjY3NzY1LmpzIj48L3NjcmlwdD4KPHNjcmlwdCBzcmM9Imh0dHBzOi8vYXNzZXQtcGlwZWxpbmUuY2lyY2xlLnNvL3BhY2tzL2pzLzI3NDg4LWY5NzFmZTA3ZTAxZjViMzQuanMiPjwvc2NyaXB0Pgo8c2NyaXB0IHNyYz0iaHR0cHM6Ly9hc3NldC1waXBlbGluZS5jaXJjbGUuc28vcGFja3MvanMvNzMxMTQtYmI1NWM3YTdjZTdkZTE2Zi5qcyI+PC9zY3JpcHQ+CjxzY3JpcHQgc3JjPSJodHRwczovL2Fzc2V0LXBpcGVsaW5lLmNpcmNsZS5zby9wYWNrcy9qcy81NDE1My04ZWM5OGZkNWFhZjZkNzQ2LmpzIj48L3NjcmlwdD4KPHNjcmlwdCBzcmM9Imh0dHBzOi8vYXNzZXQtcGlwZWxpbmUuY2lyY2xlLnNvL3BhY2tzL2pzLzc1NTA4LTVhMmFhYTUwMjg3OGUyZWEuanMiPjwvc2NyaXB0Pgo8c2NyaXB0IHNyYz0iaHR0cHM6Ly9hc3NldC1waXBlbGluZS5jaXJjbGUuc28vcGFja3MvanMvNTMzMC1kNDM2YmIxZGNhZWUwNjk0LmpzIj48L3NjcmlwdD4KPHNjcmlwdCBzcmM9Imh0dHBzOi8vYXNzZXQtcGlwZWxpbmUuY2lyY2xlLnNvL3BhY2tzL2pzLzgyNDU4LWIzNTAzMzE4ZWU0M2ZlNTguanMiPjwvc2NyaXB0Pgo8c2NyaXB0IHNyYz0iaHR0cHM6Ly9hc3NldC1waXBlbGluZS5jaXJjbGUuc28vcGFja3MvanMvNDU0MTItNTU1MThhNGQ2OTZiZWExZC5qcyI+PC9zY3JpcHQ+CjxzY3JpcHQgc3JjPSJodHRwczovL2Fzc2V0LXBpcGVsaW5lLmNpcmNsZS5zby9wYWNrcy9qcy85NTYzOC01YTU1ZDcyNGY4ZDg1ZTM4LmpzIj48L3NjcmlwdD4KPHNjcmlwdCBzcmM9Imh0dHBzOi8vYXNzZXQtcGlwZWxpbmUuY2lyY2xlLnNvL3BhY2tzL2pzLzMyMjk1LTY1NTk3MTFiYmI2OGU1ZWIuanMiPjwvc2NyaXB0Pgo8c2NyaXB0IHNyYz0iaHR0cHM6Ly9hc3NldC1waXBlbGluZS5jaXJjbGUuc28vcGFja3MvanMvOTA0MTMtM2YzNTIyNmM0NDg5ODU5OC5qcyI+PC9zY3JpcHQ+CjxzY3JpcHQgc3JjPSJodHRwczovL2Fzc2V0LXBpcGVsaW5lLmNpcmNsZS5zby9wYWNrcy9qcy85NjA3NS1jMTY5MmEzYjgyYjcwNDVkLmpzIj48L3NjcmlwdD4KPHNjcmlwdCBzcmM9Imh0dHBzOi8vYXNzZXQtcGlwZWxpbmUuY2lyY2xlLnNvL3BhY2tzL2pzLzk3NTc2LTBjZmVlNzhmODE2YzNiNTEuanMiPjwvc2NyaXB0Pgo8c2NyaXB0IHNyYz0iaHR0cHM6Ly9hc3NldC1waXBlbGluZS5jaXJjbGUuc28vcGFja3MvanMvNTIxODctODcxZWQ3YzNjMmI1MGZiYy5qcyI+PC9zY3JpcHQ+CjxzY3JpcHQgc3JjPSJodHRwczovL2Fzc2V0LXBpcGVsaW5lLmNpcmNsZS5zby9wYWNrcy9qcy8zMTc4OS01MjM4YTA4ZjIyZmI5Y2Y4LmpzIj48L3NjcmlwdD4KPHNjcmlwdCBzcmM9Imh0dHBzOi8vYXNzZXQtcGlwZWxpbmUuY2lyY2xlLnNvL3BhY2tzL2pzLzY0NTA0LTEzMzM4YTFlOGQzYmE1Y2EuanMiPjwvc2NyaXB0Pgo8c2NyaXB0IHNyYz0iaHR0cHM6Ly9hc3NldC1waXBlbGluZS5jaXJjbGUuc28vcGFja3MvanMvODU4NTAtYTQzOWZiNjhiNzdjNzBkZS5qcyI+PC9zY3JpcHQ+CjxzY3JpcHQgc3JjPSJodHRwczovL2Fzc2V0LXBpcGVsaW5lLmNpcmNsZS5zby9wYWNrcy9qcy80MDkxMy00OWFmZmFhZDU2YjVhNDcyLmpzIj48L3NjcmlwdD4KPHNjcmlwdCBzcmM9Imh0dHBzOi8vYXNzZXQtcGlwZWxpbmUuY2lyY2xlLnNvL3BhY2tzL2pzLzI1MTQwLWIwZmRhZjY2NTkxNDQyYzMuanMiPjwvc2NyaXB0Pgo8c2NyaXB0IHNyYz0iaHR0cHM6Ly9hc3NldC1waXBlbGluZS5jaXJjbGUuc28vcGFja3MvanMvMzc4OTYtNzliOGIyNjcxZjQ2MjRhZS5qcyI+PC9zY3JpcHQ+CjxzY3JpcHQgc3JjPSJodHRwczovL2Fzc2V0LXBpcGVsaW5lLmNpcmNsZS5zby9wYWNrcy9qcy85MjA4NS02YzBkMmUwYWMwYjQ2YjYyLmpzIj48L3NjcmlwdD4KPHNjcmlwdCBzcmM9Imh0dHBzOi8vYXNzZXQtcGlwZWxpbmUuY2lyY2xlLnNvL3BhY2tzL2pzLzE5OTcwLTc5ZGRkZWE5ODY4ZGQ4NTAuanMiPjwvc2NyaXB0Pgo8c2NyaXB0IHNyYz0iaHR0cHM6Ly9hc3NldC1waXBlbGluZS5jaXJjbGUuc28vcGFja3MvanMvOTc0NDgtYmI4NmQzMDA3NDIwMTE2My5qcyI+PC9zY3JpcHQ+CjxzY3JpcHQgc3JjPSJodHRwczovL2Fzc2V0LXBpcGVsaW5lLmNpcmNsZS5zby9wYWNrcy9qcy83MjY1NS1jYTI1ODJkM2EyOWRmZmM3LmpzIj48L3NjcmlwdD4KPHNjcmlwdCBzcmM9Imh0dHBzOi8vYXNzZXQtcGlwZWxpbmUuY2lyY2xlLnNvL3BhY2tzL2pzLzc2NDU1LTU0ZGI4NmI5MjNkMmViMmIuanMiPjwvc2NyaXB0Pgo8c2NyaXB0IHNyYz0iaHR0cHM6Ly9hc3NldC1waXBlbGluZS5jaXJjbGUuc28vcGFja3MvanMvMjM2MTgtZjU1MGNjYzMyY2UwNmRmYS5qcyI+PC9zY3JpcHQ+CjxzY3JpcHQgc3JjPSJodHRwczovL2Fzc2V0LXBpcGVsaW5lLmNpcmNsZS5zby9wYWNrcy9qcy81NTYyNy1kZDA2ZGJhYzNkMTU3ZmI1LmpzIj48L3NjcmlwdD4KPHNjcmlwdCBzcmM9Imh0dHBzOi8vYXNzZXQtcGlwZWxpbmUuY2lyY2xlLnNvL3BhY2tzL2pzLzU0NDc5LTIwMmM1NjdhZjYzY2U0MTYuanMiPjwvc2NyaXB0Pgo8c2NyaXB0IHNyYz0iaHR0cHM6Ly9hc3NldC1waXBlbGluZS5jaXJjbGUuc28vcGFja3MvanMvNzcxOTUtOGM0NDdhMGYzYjFkNzA0Mi5qcyI+PC9zY3JpcHQ+CjxzY3JpcHQgc3JjPSJodHRwczovL2Fzc2V0LXBpcGVsaW5lLmNpcmNsZS5zby9wYWNrcy9qcy80ODQxNy1jMmFkYjUxMzIwYzI2Yzc5LmpzIj48L3NjcmlwdD4KPHNjcmlwdCBzcmM9Imh0dHBzOi8vYXNzZXQtcGlwZWxpbmUuY2lyY2xlLnNvL3BhY2tzL2pzLzU0MDItMGJiNmI2MTk1YmQ4YTEzMi5qcyI+PC9zY3JpcHQ+CjxzY3JpcHQgc3JjPSJodHRwczovL2Fzc2V0LXBpcGVsaW5lLmNpcmNsZS5zby9wYWNrcy9qcy84Njk3My1mYmRkYmQ4MDQ5MDU2NGZmLmpzIj48L3NjcmlwdD4KPHNjcmlwdCBzcmM9Imh0dHBzOi8vYXNzZXQtcGlwZWxpbmUuY2lyY2xlLnNvL3BhY2tzL2pzLzQ3OTU3LTI4MmU2NjJhYWVjNzY3ZmMuanMiPjwvc2NyaXB0Pgo8c2NyaXB0IHNyYz0iaHR0cHM6Ly9hc3NldC1waXBlbGluZS5jaXJjbGUuc28vcGFja3MvanMvNTI3MDQtNmQyZDM1NDY0MTQ5MDdlMC5qcyI+PC9zY3JpcHQ+CjxzY3JpcHQgc3JjPSJodHRwczovL2Fzc2V0LXBpcGVsaW5lLmNpcmNsZS5zby9wYWNrcy9qcy8zNjkxOC1hYjIwOWY1OTY0MDdkYjRlLmpzIj48L3NjcmlwdD4KPHNjcmlwdCBzcmM9Imh0dHBzOi8vYXNzZXQtcGlwZWxpbmUuY2lyY2xlLnNvL3BhY2tzL2pzLzU5MjYzLTY3MmVmMDE0MGM4MTEzZjYuanMiPjwvc2NyaXB0Pgo8c2NyaXB0IHNyYz0iaHR0cHM6Ly9hc3NldC1waXBlbGluZS5jaXJjbGUuc28vcGFja3MvanMvYXBwbGljYXRpb24tY2YwMTQxZjIyOTUxNzRjYi5qcyI+PC9zY3JpcHQ+CiAgPC9oZWFkPgoKICA8Ym9keQogICAgY2xhc3M9JwogICAgICBiZy1zZWNvbmRhcnkKICAgICAgCiAgICAgIAogICAgICAKICAgICAgCiAgICAgICBpcy1zaWduZWQtb3V0CiAgICAgIAogICAgJwogID4KICAgIAoKICAgIAoKCiAgPGRpdiBjbGFzcz0iY2VudGVyLWxheW91dCBlcnJvci1sYXlvdXQgbm90aWZpY2F0aW9uLWVycm9yIj4KICA8ZGl2IGNsYXNzPSJjZW50ZXItY29udGFpbmVyIj4KICAgIDxkaXYgY2xhc3M9ImNvbW11bml0eV9fYnJhbmQiPgogICAgICAgIDxhIGhyZWY9Imh0dHBzOi8vd3d3LndvcmtpdGRhaWx5LmNvbS8iIHRhcmdldD0iX2JsYW5rIj4KICAgICAgICAgIDxkaXYgY2xhc3M9ImNvbW11bml0eV9fbG9nbyI+PGltZyBhbHQ9IldvcmsgSXQgREFJTFkgbG9nbyIgc3JjPSJodHRwczovL2FwcC5jaXJjbGUuc28vcmFpbHMvYWN0aXZlX3N0b3JhZ2UvcmVwcmVzZW50YXRpb25zL3JlZGlyZWN0L2V5SmZjbUZwYkhNaU9uc2liV1Z6YzJGblpTSTZJa0pCYUhCQ1NXaHpTSGRyUFNJc0ltVjRjQ0k2Ym5Wc2JDd2ljSFZ5SWpvaVlteHZZbDlwWkNKOWZRPT0tLWU3MGJjZWQyY2YwY2Y2NWI0YmE4ZWNkZTYxODZjZmMzYzJjMzliYTUvZXlKZmNtRnBiSE1pT25zaWJXVnpjMkZuWlNJNklrSkJhRGREUkc5TVdtMDVlV0pYUmpCVFUwbEpZMGMxYmtKcWIwZFNWbEUyUmtoS2JHTXliRFphVmprd1lqRTVjMkZYTVhCa1JuTklZVkZLYjBGVVFUWkRiazVvWkcxV2VXVjNXVFpEYms0d1kyMXNkMVpCUFQwaUxDSmxlSEFpT201MWJHd3NJbkIxY2lJNkluWmhjbWxoZEdsdmJpSjlmUT09LS0xNzRjY2VhZjlhMzFmMTcxNjQ4NjM5MzUzMDkxODhhNTYwNmFmYzIxL0xvZ29zLnBuZyIgLz48L2Rpdj4KICAgICAgICA8L2E+CiAgICA8L2Rpdj4KICAgIDxoMT5Pb3BzISBUaGUgcGFnZSB3YXMgbm90IGZvdW5kLjwvaDE+CiAgICAKCgogICAgICA8YnI+CiAgICAgIDxicj4KICAgICAgPGg0PgogICAgICAgIERvIHlvdSBzdXNwZWN0IGEgYnVnPwogICAgICA8L2g0PgogICAgICA8YnI+CiAgICAgIDxkaXY+CiAgICAgICAgPGZvcm0gaWQ9ImludmlzaWJsZS1yZWNhcHRjaGEtZm9ybSIgYWN0aW9uPSIvZXJyb3JfcmVwb3J0cy9zZW5kX2VtYWlsX25vdGlmaWNhdGlvbiIgYWNjZXB0LWNoYXJzZXQ9IlVURi04IiBtZXRob2Q9InBvc3QiPjxpbnB1dCB0eXBlPSJoaWRkZW4iIG5hbWU9ImF1dGhlbnRpY2l0eV90b2tlbiIgdmFsdWU9InZLMFV0dGdjNGNRU0w4cHVaN2g4Q05GYUd6aHk2VEN0bFlIdXF4TWdPVWY0UDhqT2FHalBHWXAwbkgtUm9CYmNhWXFYWHhEc0ZpeHlISGZwRHFYRUpBIiAvPgogICAgICAgICAgICAgIDxkaXYgY2xhc3M9Im1iLTMiPjxsYWJlbCBjbGFzcz0idmlzdWFsbHktaGlkZGVuIHJlcXVpcmVkIiBmb3I9ImVycm9yX2RldGFpbCI+RXJyb3IgZGV0YWlsPC9sYWJlbD48dGV4dGFyZWEgcGxhY2Vob2xkZXI9IlBsZWFzZSBzaGFyZSBzb21lIGluZm9ybWF0aW9uIGFib3V0IGhvdyB5b3UgcmFuIGludG8gdGhpcyBpc3N1ZS4gVGhpcyByZXBvcnQgd2lsbCBiZSBzZW50IHRvIHRoZSB0ZWFtIGF0IENpcmNsZSwgdGhlIHBsYXRmb3JtIHRoYXQgaG9zdHMgdGhpcyBjb21tdW5pdHkuIEl0IHdpbGwgbm90IGJlIHNoYXJlZCB3aXRoIHRoaXMgY29tbXVuaXR5JiMzOTtzIGFkbWluLiIgcm93cz0iNyIgY29scz0iNTAiIHJlcXVpcmVkPSJyZXF1aXJlZCIgbmFtZT0iZXJyb3JfZGV0YWlsIiBpZD0iZXJyb3JfZGV0YWlsIiBjbGFzcz0iZm9ybS1jb250cm9sIj4KPC90ZXh0YXJlYT48L2Rpdj4KICAgICAgICAgICAgICA8aW5wdXQgdmFsdWU9IjQwNCIgdHlwZT0iaGlkZGVuIiBuYW1lPSJlcnJvcl9zdGF0dXMiIGlkPSJlcnJvcl9zdGF0dXMiIC8+CiAgICAgICAgICAgICAgPGlucHV0IHZhbHVlPSJodHRwczovL3d3dy53b3JraXRkYWlseS5jb20vbWVkaWEtbGlicmFyeS9hcnRpZmljaWFsLWludGVsbGlnZW5jZS1haS10ZWNobm9sb2d5LWNvbmNlcHQuanBnIiB0eXBlPSJoaWRkZW4iIG5hbWU9ImVycm9yX3VybCIgaWQ9ImVycm9yX3VybCIgLz4KICAgICAgICAgICAgICAgIDxkaXYgY2xhc3M9InJlY2FwdGNoYSI+CiAgICA8c2NyaXB0IHNyYz0iaHR0cHM6Ly93d3cucmVjYXB0Y2hhLm5ldC9yZWNhcHRjaGEvYXBpLmpzIiBhc3luYyBkZWZlciA+PC9zY3JpcHQ+CjxkaXYgZGF0YS1zaXplPSJpbnZpc2libGUiIGRhdGEtc2l0ZWtleT0iNkxmY3Z6Y2ZBQUFBQUtkTV9MeFJKLUVjeWF2LUo0TDd6cUFza0hTMiIgZGF0YS1jYWxsYmFjaz0ic3VibWl0SW52aXNpYmxlQ2FwdGNoRm9ybSIgY2xhc3M9ImctcmVjYXB0Y2hhICI+PC9kaXY+CgogIDwvZGl2PgoKICA8c2NyaXB0PgogICAgZnVuY3Rpb24gc3VibWl0SW52aXNpYmxlQ2FwdGNoRm9ybSgpIHsKICAgICAgZG9jdW1lbnQuZ2V0RWxlbWVudEJ5SWQoJ2ludmlzaWJsZS1yZWNhcHRjaGEtZm9ybScpLnN1Ym1pdCgpOwogICAgfQogIDwvc2NyaXB0PgoKICAgICAgICAgICAgICA8aW5wdXQgdHlwZT0ic3VibWl0IiBuYW1lPSJjb21taXQiIHZhbHVlPSJTdWJtaXQgcmVwb3J0IiBjbGFzcz0iYnRuIGJ0bi1wcmltYXJ5IiBvbmNsaWNrPSJpZiAodHlwZW9mIGdyZWNhcHRjaGEgIT09ICYjMzk7dW5kZWZpbmVkJiMzOTspIHsgZXZlbnQucHJldmVudERlZmF1bHQoKTsgZ3JlY2FwdGNoYS5leGVjdXRlKCk7IH0iIGRhdGEtZGlzYWJsZS13aXRoPSJTdWJtaXQgcmVwb3J0IiAvPgo8L2Zvcm0+ICAgICAgPC9kaXY+CiAgPC9kaXY+CjwvZGl2PgoKPHNjcmlwdCBzcmM9Imh0dHBzOi8vcWpsenR6ZmYxeGh2LnN0YXR1c3BhZ2UuaW8vZW1iZWQvc2NyaXB0LmpzIj48L3NjcmlwdD4KCgoKCgoKCiAgICA8ZGl2IGRhdGEtY29tcG9uZW50PSJHRFBSQ29va2llQmFubmVyIiBkYXRhLWNvbnRyb2xsZXI9InJlYWN0LW1vdW50IiBkYXRhLXByb3BzPSJ7fSI+PC9kaXY+CiAgICA8ZGl2IGRhdGEtY29tcG9uZW50PSJTdmdTcHJpdGUiIGRhdGEtY29udHJvbGxlcj0icmVhY3QtbW91bnQiIGRhdGEtcHJvcHM9InsmcXVvdDtzcHJpdGVQYXRoJnF1b3Q7OiZxdW90Oy9hc3NldHMvc3ByaXRlL2ljb25zLTEzNzY1ZjljZGM2YjQzZGIwZTAxZWVkODQxNzYzMWZlYmE2YTFmMDllMzZmYzIyZTc3OTk3Mzk1MTM2ZDQ3ZjQuc3ZnJnF1b3Q7fSI+PC9kaXY+CiAgICAKICA8L2JvZHk+CjwvaHRtbD4K\"\/><\/p>\n<blockquote><p>Handling multilingual legislation and regional syntax variations forces AI to reconcile diverging grammatical traditions while preserving the legal intent across jurisdictions, requiring adaptive tokenization and cross-lingual term mapping.<\/p><\/blockquote>\n<h3>Frequency of Updates and Latency in Bill Status Changes<\/h3>\n<p>The utility of AI legislative tracking hinges on <strong>real-time bill status change detection<\/strong>. Official government feeds often introduce latency of hours or even days, creating a blind spot for users. Advanced software plugs this gap by scraping multiple live sources\u2014committee calendars, floor schedules, and press releases\u2014then reconciling timestamps to flag a status shift the moment it appears. A common question: <b>How do you handle delays when a legislature says a bill \u201cpassed\u201d but the official record updates hours later?<\/b> The solution involves cross-referencing a chamber\u2019s live video feed or social media announcement against the official XML data, automatically marking the bill\u2019s status as <mark>\u201cpending confirmation\u201d<\/mark> until the canonical source syncs. This approach minimizes the gap between a real-world event and the software\u2019s notification.<\/p>\n<h2>Analytics and Reporting Features That Drive Decisions<\/h2>\n<p>Effective AI legislative tracking software delivers decisions through <strong>real-time trend and impact analytics<\/strong>. Rather than static updates, the system auto-aggregates amendment frequency and jurisdictional velocity into heatmaps, showing where regulatory pressure is building. <\/p>\n<blockquote><p>Configurable threshold alerts replace manual scanning by triggering when legislative language exceeds a user-set similarity score to an organization\u2019s risk models.<\/p><\/blockquote>\n<p> Exportable compliance gap reports then map specific bill clauses to internal policy controls, enabling teams to prioritize audit resources based on legislative proximity scores and predicted enactment windows.<\/p>\n<h3>Heat Maps of Legislative Activity by Topic and Geography<\/h3>\n<p><strong>Heat Maps of Legislative Activity by Topic and Geography<\/strong> provide a visual density representation of where and on what subjects legislative volume concentrates. Users see a color-coded overlay on a map, immediately revealing clusters of high bill introduction around specific regions or topics, such as environmental regulations in coastal states. <em>This spatial-temporal correlation enables users to identify sudden surges in activity on niche issues like data privacy across multiple jurisdictions.<\/em> By toggling between topic filters and geographic boundaries, analysts pinpoint exactly where to direct advocacy efforts or compliance monitoring. The tool converts raw legislative data into an actionable overview of legislative intensity.<\/p>\n<blockquote><p>Heat maps transform complex legislative data into intuitive visual patterns, allowing users to instantly spot high-activity regions and hot-button topics for targeted monitoring.<\/p><\/blockquote>\n<h3>Predictive Models Gauging Bill Passage Probability<\/h3>\n<p>Predictive models gauge bill passage probability by analyzing historical voting patterns, sponsor relationships, and <mark>amendment velocity<\/mark> in real time. These tools assign a dynamic score, letting you see if a bill is gaining or losing steam before committee marks. For example, a model might flag that a bill with bipartisan co-sponsors and zero floor amendments has an 85% chance of passage, compared to one with heavy opposition amendments. <strong>Real-time passage forecasting<\/strong> helps prioritize which legislation to lobby or ignore.<\/p>\n<p><b>Q: How often do these probability scores update?<\/b> A: They refresh every few hours as new actions like referrals or cloture votes occur.<\/p>\n<h3>Exportable Dashboards for Stakeholder Briefings<\/h3>\n<p>Exportable dashboards transform raw legislative data into <strong>actionable stakeholder briefings<\/strong> within AI legislative tracking software. Users generate custom visual reports\u2014PDFs, PowerPoint decks, or live web links\u2014tailored to executive or team needs without rebuilding analysis. Pre-built filters isolate bill stages, jurisdictional impact, or risk scores, ensuring each export preserves context. The system automatically timestamps and version-controls exports, preventing outdated briefs from circulating. <mark>One-click delivery<\/mark> schedules recurring PDF drops for board meetings or committee updates, aligning legislative shifts with decision cycles.<\/p>\n<blockquote><p>Exportable dashboards turn complex legislative tracking into client-ready, decision-focused briefings that stakeholders act on immediately.<\/p><\/blockquote>\n<h2>Challenges in Building a Comprehensive Regulation Tracker<\/h2>\n<p>Building a <strong>comprehensive regulation tracker<\/strong> for AI legislation is tough because laws come from dozens of sources\u2014parliaments, agencies, and local bodies\u2014each with different formats, languages, and update cycles. You have to constantly parse dense legal text and distinguish between binding rules and non-binding guidance. A key challenge is avoiding false positives: software often flags irrelevant amendments or duplicate proposals, wasting users&#8217; time. <\/p>\n<blockquote><p>Keeping track of &#8220;what actually changed&#8221; versus &#8220;what just got renumbered&#8221; is the real bottleneck.<\/p><\/blockquote>\n<p> Another pain point is mapping regulations across jurisdictions without overlap, especially when a state law borrows language from a federal draft. The tracker also struggles with speed\u2014laws can evolve hourly, so your database must refresh without breaking existing analysis.<\/p>\n<h3>Parsing Ambiguous Language and Legislative Amendments in Real Time<\/h3>\n<p>Real-time parsing of ambiguous language in legislative amendments demands AI that moves beyond keyword matching to contextual semantic analysis. The system must dynamically interpret vague terms like \u201creasonable measures\u201d against shifting regulatory intent, while simultaneously tracking textual insertions, deletions, and substitutions as they occur mid-session. <strong>Contextual disambiguation of vague statutory language<\/strong> is critical, as a single ambiguous clause can alter compliance obligations. By resolving syntactic and polysemic ambiguities on the fly, the software ensures that users receive only substantively changed provisions rather than noise, enabling immediate, accurate impact assessments without waiting for post-hoc human review.<\/p>\n<h3>Managing Data Sovereignty and Security for Sensitive Government Feeds<\/h3>\n<p>Managing data sovereignty and security for sensitive government feeds demands strict controls to prevent unauthorized access during AI legislative tracking. You must implement <strong>sovereign data governance<\/strong> by hosting analysis pipelines exclusively within national or agency-approved cloud boundaries, ensuring no cross-border data leakage occurs during feed ingestion. Encryption at rest and in transit is non-negotiable, with tokenized access for human reviewers to limit direct exposure of raw legislative content. Real-time audit logs track every query against these feeds, automatically flagging anomalous patterns that could indicate a breach or policy violation. This approach keeps sensitive government data under your authority while still enabling timely, automated updates.<\/p>\n<h3>False Positive Reduction in Alerting Systems<\/h3>\n<p>In AI legislative tracking, <strong>noise suppression tuning<\/strong> directly tackles false positive reduction by calibrating alert triggers to ignore procedural amendments that lack substantive legal changes. This requires parsing legislative language to distinguish routine docket updates from material policy shifts. <em>Overly aggressive suppression risks missing critical early-stage proposals hidden within benign procedural text.<\/em> A robust system uses historical false-positive patterns to dynamically adjust sensitivity thresholds per jurisdiction, ensuring alerts remain actionable without overwhelming users.<\/p>\n<blockquote><p>False positive reduction ensures every alert signals a genuine regulatory shift, not administrative noise.<\/p><\/blockquote>\n<h2>Comparing Deployment Models: Cloud Versus On-Premise<\/h2>\n<p><strong>Cloud deployment<\/strong> for AI legislative tracking software enables rapid scalability as legislative volume surges, with automatic updates ensuring the model accesses the latest bill texts without IT overhead. <strong>On-premise deployment<\/strong> offers data sovereignty, essential for law firms or government bodies handling confidential lobbying records, as all analysis occurs within local servers. This eliminates external data transmission risks, a critical <mark>security advantage for sensitive compliance workflows<\/mark>. Cloud systems typically provide built-in redundancy and global access for remote teams, while on-premise setups require dedicated maintenance staff for hardware and AI model refresh cycles. Latency for querying full legislative archives is comparable, but cloud solutions may introduce slight delays during peak internet congestion for real-time analysis.<\/p>\n<h3>Multi-Tenant SaaS for Small Teams and Budget Constraints<\/h3>\n<p>For small teams with tight budgets evaluating AI legislative tracking software, <strong>multi-tenant SaaS deployment<\/strong> eliminates upfront infrastructure costs while pooling computational resources across users. This architecture allows vendors to offer a lower per-seat price than on-premise alternatives, making advanced AI parsing of bill texts feasible for limited funds. The logical setup sequence follows: <\/p>\n<ol>\n<li>Select a SaaS tier matching team size.<\/li>\n<li>Configure automated keyword or jurisdiction filters within the shared environment.<\/li>\n<li>Access parsed legislative updates immediately via a web <a href=\"https:\/\/harvardjol.com\">Harvard Journal on Legislation<\/a> browser without local maintenance.<\/li>\n<\/ol>\n<p> <em>This shared infrastructure inherently caps customization, but for teams requiring only core tracking functions, the trade-off yields predictable monthly expenses.<\/em><\/p>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' width=\"602px\" alt=\"AI legislative tracking and analysis software\" 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\"\/><\/p>\n<h3>Private Cloud Instances for High-Volume, Sensitive Caseloads<\/h3>\n<p>For high-volume, sensitive caseloads, deploying AI legislative tracking and analysis software via <strong>private cloud instances for high-volume, sensitive caseloads<\/strong> ensures dedicated compute resources never contend with other tenants. This architecture eliminates noisy-neighbor latency during peak bill scanning or cross-referencing sessions. Data remains within a logically isolated network segment, with encryption keys managed solely by the organization. The sequence involves: <\/p>\n<ol>\n<li>Provisioning a single-tenant virtual private cloud with reserved GPU nodes for batch analysis.<\/li>\n<li>Configuring granular IAM policies to restrict document ingestion and query access per case team.<\/li>\n<li>Enabling auto-scaling policies that spin up additional instances only for specific legislative docket bursts, then decommission them.<\/li>\n<\/ol>\n<p> This approach maintains throughput without exposing raw case metadata to shared infrastructure.<\/p>\n<h3>Hybrid Approaches Leveraging API-Layer Government Data Pulls<\/h3>\n<p>A hybrid deployment for AI legislative tracking leverages <strong>API-layer government data pulls to bridge cloud flexibility with on-premise security. The software pulls real-time bill text and amendments from official government APIs into a local cache, enabling low-latency analysis without exposing core legislative databases to the public internet. Users retain on-premise control over proprietary models and sensitive annotations, while the API layer handles high-volume, transient data extraction. This approach reduces bandwidth costs by filtering raw government feeds server-side before pushing only relevant legislative changes to the on-premise system. The hybrid model thus eliminates the need for full cloud migration while maintaining near-real-time synchronization with legislative sources.<\/strong><\/p>\n<h2>Legal and Ethical Boundaries of Automated Policy Analysis<\/h2>\n<p>When deploying AI legislative tracking and analysis software, users must navigate <strong>legal and ethical boundaries of automated policy analysis<\/strong> to ensure outputs remain defensible. The software cannot replace human legal judgment; instead, it flags statutes subject to interpretive bias or conflicting jurisdictions. Ethically, you must audit training data for embedded political slants that could skew recommendation neutrality. Legally, reliance on automated summaries without verifying source texts risks malpractice if a critical amendment is misclassified. The boundary demands that every extracted pattern be validated against original bill language, preventing the tool from becoming a black-box decision-maker. Ultimately, the <strong>legal and ethical boundaries of automated policy analysis<\/strong> require that the software serve as a transparent assistant, not an autonomous authority over legislative interpretation.<\/p>\n<h3>Accountability for Misinterpreting Legal Nuance in Outputs<\/h3>\n<p>Accountability for misinterpreting legal nuance in outputs falls squarely on the software provider, as the AI lacks legal personhood. Liability clauses must explicitly define the model&#8217;s confidence threshold for ambiguous terms like &#8220;substantial&#8221; or &#8220;reasonable,&#8221; where outputs can mislead policy analysts. <strong>Liability for statutory misinterpretation<\/strong> typically shifts to the user only if the provider includes a functional override mechanism for flagged ambiguities. To mitigate risk, providers must log every model inference that adjusts a statute&#8217;s syntactic weight, creating an auditable trail for proving or disproving deviation from legislative intent. Without this, accountability remains an unenforceable abstraction.<\/p>\n<h3>Transparency in How Algorithms Rank or Prioritize Bills<\/h3>\n<p>Transparency in how algorithms rank or prioritize bills is essential for user trust and accountability. Users must be able to inspect the <strong>ranking methodology<\/strong>\u2014whether it is based on keyword frequency, bill recency, legislative sponsor influence, or cross-referencing with historical voting patterns. A clear sequence of priority logic prevents hidden biases. For practical auditability, software should expose:<\/p>\n<ol>\n<li>The specific data inputs driving each bill\u2019s score.<\/li>\n<li>The weighting assigned to each factor (e.g., committee action status vs. co-sponsor count).<\/li>\n<li>Any override mechanisms where manual user adjustments shift the rank.<\/li>\n<\/ol>\n<p>Without this clarity, users cannot validate whether prioritized bills genuinely reflect their policy interests or introduce unstated editorial preferences.<\/p>\n<h3>Bias Prevention When Training on Historical Legislative Datasets<\/h3>\n<p>To prevent bias when training on historical legislative datasets, your AI software must employ <strong>counterfactual data augmentation<\/strong>. This technique synthetically generates alternative versions of past bills where key demographic or economic variables are swapped, revealing hidden skews in the model\u2019s logic. You must also implement routine fairness audits by splitting historical data into chronologically coherent segments\u2014testing the model on one era\u2019s laws after training on another\u2014to catch temporal biases where old legal norms unduly shape predictions. Without these steps, your analysis risks replicating historical inequities as factual baselines. <strong>Q: How do you identify if a training set has embedded legislative bias?<\/strong> A: Run a \u201cbias probe\u201d by using the trained model to predict outcomes for laws from a marginalized community\u2019s legislative era; if accuracy drops significantly compared to majority-era laws, your dataset contains systemic preference patterns.<\/p>\n<h2>Future Trends Shaping the Regulatory Tech Landscape<\/h2>\n<p>The future of regulatory tech is defined by <strong>predictive regulatory intelligence<\/strong>, where AI legislative tracking software evolves from passive monitoring to proactive forecasting. Instead of simply cataloging legal changes, these tools will model potential cascading effects across jurisdictions, alerting users to emerging compliance risks before bills are even passed. Another key shift is <strong>dynamic semantic adaptation<\/strong>, where the software continuously learns from user corrections to map abstract governance concepts (like \u201calgorithmic fairness\u201d) across disparate draft texts in real time. This moves tracking from keyword-matching to context-aware interpretation, enabling organizations to visualize how a single proposed clause in one country could reshape their global operational logic instantly.<\/p>\n<h3>Generative Summaries for Quick Human Review of Dense Documents<\/h3>\n<p>Generative summaries are evolving to <strong>enable rapid human review of dense legislative texts<\/strong> by distilling lengthy clauses into concise, actionable overviews. These summaries preserve critical legal nuances while eliminating redundant language, allowing compliance teams to assess <mark>bill impacts<\/mark> without reading thousands of pages. The software dynamically highlights cross-references to existing statutes, ensuring summary accuracy remains tied to the source document&#8217;s original structure.<\/p>\n<ul>\n<li>Extracts key obligations and effective dates from complex regulatory language<\/li>\n<li>Generates comparative side-by-side summaries for amended or multi-version bills<\/li>\n<li>Flags ambiguous phrasing with context-aware annotations for user verification<\/li>\n<li>Offers adjustable narrative depth\u2014from bullet-point compressions to paragraph-length recaps<\/li>\n<\/ul>\n<h3>Cross-Border Harmonization Tools for Global Compliance Workflows<\/h3>\n<p>Cross-border harmonization tools within AI legislative tracking software map overlapping regulatory requirements across jurisdictions into a unified compliance workflow. These tools automate the resolution of conflicting obligations by prioritizing the strictest applicable standard for each data process, then flagging gaps where no single rule dominates. <em>A key challenge is reconciling divergent definitions, such as what constitutes automated decision-making under the EU AI Act versus Brazil\u2019s LGPD.<\/em> This requires term-by-term crosswalks embedded directly in the analysis engine. <strong>Regulatory equivalence mapping<\/strong> is a core function, allowing users to pre-configure fallback protocols when one jurisdiction\u2019s rule triggers a compensating control elsewhere, reducing redundant checks across global operations.<\/p>\n<table>\n<tr>\n<th>Harmonization Aspect<\/th>\n<th>Tool Function<\/th>\n<\/tr>\n<tr>\n<td>Overlap detection<\/td>\n<td>Identifies identical obligations across multiple laws<\/td>\n<\/tr>\n<tr>\n<td>Supremacy rule<\/td>\n<td>Applies the highest penalty or strictest deadline<\/td>\n<\/tr>\n<tr>\n<td>Gap analysis<\/td>\n<td>Flags jurisdiction-specific requirements with no equivalent<\/td>\n<\/tr>\n<\/table>\n<h3>Real-Time Collaboration Features for Distributed Policy Teams<\/h3>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' width=\"605px\" alt=\"AI legislative tracking and analysis software\" 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\"\/><\/p>\n<p>For distributed policy teams using AI legislative tracking software, <strong>real-time collaboration features<\/strong> enable simultaneous editing of policy analysis documents, with changes visible across global offices instantly. Integrated comment threads allow analysts to tag specific bill clauses for peer review, while version control tracks every modification without overwriting previous work. <em>Contextual chat tools embedded within legislative documents reduce the need for separate communication platforms, streamlining decision-making.<\/em> These features also support role-based permissions, ensuring that only authorized users can finalize compliance reports, thereby maintaining data integrity across dispersed regulatory units.<\/p>\n<h2>What This Software Actually Does for Compliance Teams<\/h2>\n<h3>How it transforms scattered bills into actionable intelligence<\/h3>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' width=\"601px\" alt=\"AI legislative tracking and analysis software\" 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\"\/><\/p>\n<h3>The difference between keyword alerts and true semantic analysis<\/h3>\n<h2>Core Features That Separate Useful Tools from Noise Machines<\/h2>\n<h3>Real-time monitoring vs. batch updates: what matters for your deadlines<\/h3>\n<h3>Cross-jurisdictional tracking without manual setup<\/h3>\n<h3>Impact scoring: how the software prioritizes which bills need your attention<\/h3>\n<h2>How to Evaluate Accuracy When Testing a Solution<\/h2>\n<h3>Benchmarking false-positive rates on your actual legislative landscape<\/h3>\n<h3>Testing how well it handles amendments and last-minute language changes<\/h3>\n<h2>Integrating These Tools Into Existing Workflows<\/h2>\n<h3>API connectivity with your document management or GRC platform<\/h3>\n<h3>Setting up role-based dashboards for legal, policy, and executive teams<\/h3>\n<h2>Common Pain Points Users Face and How to Avoid Them<\/h2>\n<h3>Training the model on your specific industry jargon and regulatory lexicon<\/h3>\n<h3>Managing alert fatigue with customizable threshold filters<\/h3>\n","protected":false},"excerpt":{"rendered":"<p>Your Guide to AI Legislative Tracking and Analysis Software A policy team urgently needs to know if a newly proposed state bill contains language affecting their high-risk AI system deployment. AI legislative tracking and analysis software automatically ingests and parses legislative text from multiple jurisdictions, identifying and flagging clauses relevant to specific AI system classifications. [&hellip;]<\/p>\n","protected":false},"author":23,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-762","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v18.0 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/topwardsolutions.com\/?p=762\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Why Governments and Enterprises Are Automating Policy Monitoring - Home\" \/>\n<meta property=\"og:description\" content=\"Your Guide to AI Legislative Tracking and Analysis Software A policy team urgently needs to know if a newly proposed state bill contains language affecting their high-risk AI system deployment. AI legislative tracking and analysis software automatically ingests and parses legislative text from multiple jurisdictions, identifying and flagging clauses relevant to specific AI system classifications. 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","contentUrl":"data:image\/jpg;base64,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"},{"@type":"WebPage","@id":"https:\/\/topwardsolutions.com\/?p=762#webpage","url":"https:\/\/topwardsolutions.com\/?p=762","name":"Why 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