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PRODUCT
Foundational law
SampleConnecticut · Privacy Law
Scope summary
Comprehensive Connecticut Data Privacy Act (Conn. Gen. Stat. §§ 42-515–42-526). Round 1 — PA 25-113 / SB 1295 (signed June 24, 2025; official: cga.ct.gov 2025PA-00113): Applicability (eff. July 1, 2026): controllers qualify if ANY prong applies: (1) 35,000+ Connecticut consumers/year (lowered from 100,000); (2) offers personal data for sale (volume-free); (3) processes sensitive data (volume-free). Prior 25%-of-revenue prong deleted. Substantive obligations: LLM-training disclosure in privacy notices; expanded sensitive-data categories (neural data, disability/treatment-related); under-18 online-safety center, dark-pattern limits, profiling/ad-targeting limits; profiling/ADM consumer rights; separate consent for sensitive-data sale; data minimization (necessary AND proportionate); consent for material new purposes. Profiling impact assessments eff. Aug. 1, 2026. Round 2 — PA 26-64 / SB 4 (signed May 27, 2026; official: cga.ct.gov 2026PA-00064): Amends CTDPA effective October 1, 2026 unless noted: absolute ban on sale of precise geolocation data (1,750-foot radius); facial-recognition for security/fraud limited to closed-loop internal-database matching (no public/third-party biometric networks); enhanced profiling/consumer-rights provisions; ALPR contract sharing limits. Surveillance/algorithmic-pricing transparency when personalized pricing increases a consumer's price. Brokered-personal-data registration requirement effective January 1, 2027. Data-broker registration, annual DCP fee, and centralized deletion-mechanism operator duties are tracked on separate anchor e9dcc845 (Connecticut Data Broker Registration / SB 4, 2026). This CTDPA anchor covers the comprehensive privacy statute and CTDPA-amending provisions in PA 25-113, PA 26-64, and PA 26-100 (HB 5222). Round 3 — HB 5222 / PA 26-100 (signed June 2, 2026; official: cga.ct.gov 2026PA-00100): Technical cleanup to PA 26-64 / CTDPA amendments effective October 1, 2026: refines data-broker registration mechanics, geolocation-sale prohibition, and surveillance-pricing disclosure (conspicuous on-screen "THIS PRICE WAS INCREASED" warning when algorithmic pricing raises an individual's price).
Open anchor page →Connecticut · Privacy
3 obligations
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DISCLAIMER: Issue-spotting against Docket Daily's published corpus — not legal advice.
vendor-dpa.pdf · complete
SampleAnalyzed vendor-dpa.pdf
Sections detected: none detected
Pillar areas checked: AI, Data, Privacy, Cybersecurity
“Section 4.2 — Customer grants Vendor a perpetual license to use Customer Data to train and improve machine-learning models.”
Broad consent to use customer data for model training without an opt-out may conflict with state consumer privacy laws.
Suggestion: Limit training use to delivering the service and require a written opt-out before any model-training license takes effect.
“Section 7.1 — Vendor may transfer Personal Data to any country where it or its subprocessors operate, without a stated transfer mechanism.”
Missing cross-border transfer safeguards when personal data leaves the United States.
Suggestion: Require a stated transfer mechanism and a current subprocessor list before personal data leaves the United States.
“Section 9.3 — Customer shall indemnify Vendor against all regulatory fines, penalties, and enforcement arising from the Services.”
Indemnity clauses that shift all regulatory liability to your client without carve-outs for vendor security failures.
Suggestion: Carve vendor security failures and fines caused by the vendor out of the customer indemnity.
“Section 5.4 — Vendor may add subprocessors, including automated decision-making tools, without prior notice.”
Unnoticed subprocessors can put consumer data into automated decisions without the disclosures those tools require.
Suggestion: Require advance notice of subprocessors and confirm automated-decision disclosures before AI tools process consumer data.
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Docket Daily tracks governance, compliance, and regulatory law — the rules that determine what organizations must do, disclose, and avoid when building and deploying technology. We monitor proposed legislation, enacted statutes, administrative regulations, executive orders, court decisions, and state attorney general enforcement actions that create legal obligations for businesses, government agencies, and technology developers. We also track legislation that fails, is vetoed, or dies in session — dead bills are preserved as legislative intelligence, a barometer of where lawmakers are heading.
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Bradley J. Martineau · Pennsylvania Attorney · AI Governance Author
Docket Daily was built by an attorney who lived the problem firsthand. Brad is a Pennsylvania-licensed lawyer and Amazon best-selling AI governance author. He built Docket Daily because the tool he needed didn't exist. Every design decision comes from real legal and AI governance experience — not engineering assumptions.
“You're already paying for the library. Docket Daily is the attorney who researches and summarizes all of the new AI, Data, Privacy, and Cybersecurity legal developments for you.” — Bradley J. Martineau, Founder & Attorney
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