01

Data Collection

Policy Signal monitors 30–50 high-quality sources across five categories. Volume is deliberately constrained — breadth without quality control produces noise, not signal. Sources are polled on a 1–2 hour cycle via RSS feeds, web scraping, and direct API integrations.

RSS / ScrapeRegulatory Bodies

Official feeds from EDPB, FTC, ICO, CNIL, DPC, NIST, and key state attorney general offices. Primary source of enforcement and legislation developments.

RSSTrade Press & Specialized Media

IAPP, The Record, GDPRHub, Politico Tech, Ars Technica policy, Reuters, Bloomberg Law. Curated for signal density — not volume.

API / ScrapeGovernment Databases

US Congress (congress.gov API), EU legislative observatory, UK Parliament publications, and select state legislature trackers for high-priority US states.

APIPrediction Markets

Polymarket public API, filtered for markets related to AI regulation, privacy legislation, and technology policy outcomes.

Deduplication: Each ingested item is fingerprinted by URL and content hash. Duplicate entries from multiple sources covering the same development are suppressed before AI processing begins.

02

AI Processing Pipeline

Every ingested item passes through a four-step AI pipeline using Anthropic's Claude API. Different tasks use different model tiers to balance cost efficiency with output quality.

1
Classification & TaggingClaude Haiku

Each item is classified into one of six content categories (Legislation, Enforcement, Industry, Standards, Breach, Analysis) and tagged with the relevant jurisdictions. Haiku handles this step — classification is high-volume and relatively deterministic.

2
Relevance FilteringClaude Haiku

Items that fall outside Policy Signal's coverage scope are filtered out before further processing. This step suppresses genuinely off-topic content that slips through source-level filtering.

3
Impact ScoringClaude Haiku

Each item receives an impact score (Low / Medium / High) against a defined rubric. Scores surface the most consequential items in the dashboard and are used to construct the Daily Briefing.

4
Summary GenerationClaude Sonnet

A 2–3 sentence plain-language summary is generated for each item. Sonnet is used here because summary quality directly affects the user experience. Summaries are written in analyst voice: neutral, factual, with judgment where warranted.

03

Impact Scoring

Each development receives an impact score of Low, Medium, or High. Scores are assigned by the AI pipeline against a defined rubric and are used to surface the most consequential items in the dashboard.

HIGH

Precedent-setting, broad scope, immediate enforcement implications, or significant industry-wide compliance burden.

MEDIUM

Meaningful development in a major jurisdiction or sector, or an incremental step in a closely-watched regulatory process.

LOW

Routine regulatory activity, minor procedural update, or a development in a smaller jurisdiction with limited extraterritorial reach.

Scoring criteria:
Scope of affected entities (single company vs. industry-wide vs. cross-sector)
Severity of potential consequences (fines, injunctions, compliance deadlines)
Novelty or precedent-setting nature of the development
Proximity of enforcement timelines
Level of industry and media attention as a secondary signal
04

Daily Briefing Generation

Each day at 06:00 UTC, a synthesis prompt feeds the most recent processed events into a dedicated briefing generation step. The output is a 3–5 paragraph analytical narrative written in neutral, analyst-grade prose — not a list of headlines, but an integrated assessment of what the day's developments indicate.

The briefing is generated using Claude Sonnet, which is reserved for the highest-quality writing tasks in the pipeline. The prompt specifies analytical tone, structural format, and editorial judgment criteria — the goal is a briefing that reads as if written by a senior regulatory analyst, not a summarization tool.

06:00
UTC generation time
Daily
Frequency
3–5 ¶
Briefing length
05

Coverage Scope & Editorial Standards

Policy Signal covers six content categories across a tiered set of jurisdictions. Coverage extends beyond narrow "privacy and AI" to include adjacent regulatory areas that materially affect technology companies — including age verification mandates, algorithmic transparency requirements, content moderation rules, and cross-border data transfer frameworks.

Content categories
LegislationBills, amendments, committee actions, votes
EnforcementFines, investigations, consent orders, rulings by regulators
LitigationAG lawsuits, court rulings, and judicial interpretations of AI and privacy law
IndustryCorporate policy changes, M&A, product launches
StandardsNIST, ISO, IEEE framework developments
BreachSignificant incidents with regulatory implications
AnalysisExpert commentary, prediction market signals
Jurisdiction tiers
Tier 1 — Deep coverage
EU, United States (federal + CA, CO, TX, CT, VA), United Kingdom, China
Tier 2 — Standard coverage
Canada, Brazil, India, Australia, South Korea, Japan, Singapore
Tier 3 — Monitoring
All other jurisdictions tracked for major developments only

Editorial note: Policy Signal exists to surface “sleeper laws” — state-level, sector-specific, or technically-focused regulations that fly under the radar until enforcement begins. These are weighted equally to headline-grabbing regulations. The motivating example: a senior technical leader at IBM/Red Hat discovered via a niche newsletter that a California age verification law had passed with fines kicking in within 9 months. That is the gap this product fills.

06

Update Cadence

Every 2 hours
Source polling & ingestion
RSS, scrape, and API collection
+30 min offset
AI processing run
classify, score, summarize new items
06:00 UTC
Daily Briefing generated
synthesis of last 24 hours
06:15 UTC
Newsletter dispatched
to all active subscribers