Dover
HireAIScore rates Dover 45 out of 100 (grade F, Substantial gaps) under rubric v1.0, last reviewed July 17, 2026. Dover ranks 46 of 86 vendors rated in Candidate sourcing AI, against a category average of 46. That score is drawn from 17 evidence items across 7 rubric criteria for Dover — 13 with a cited source, 4 recording that nothing was located.
Score breakdown
Dover, criterion by criterion
Each rubric criterion is scored out of 100 on the cited evidence, then weighted into the total.
Weighted contribution shown to the right of each bar.
Article 11 Technical Documentation
Weight 20% · category avg 48
34
+6.8
Bias Audit Transparency
Weight 18% · category avg 40
52
+9.4
FRIA Support
Weight 15% · category avg 31
30
+4.5
Data Governance Disclosure
Weight 15% · category avg 53
50
+7.5
Human Oversight Design
Weight 12% · category avg 56
58
+7.0
Post-Market Monitoring
Weight 12% · category avg 40
44
+5.3
Customer Documentation
Weight 8% · category avg 57
60
+4.8
Total weighted score
45.2(rounded to 45 for display)
Category avg is the mean raw score on that criterion across the 86 Candidate sourcing AI vendors in scope of this rubric, this one included.
Strongest criterion
Customer Documentation
60raw / 100
Contributes 4.8 to the total. 60 against a 57 category average.
Weakest criterion
FRIA Support
30raw / 100
Contributes 4.5 to the total. 30 against a 31 category average.
Cited evidence
The evidence behind the score
Every score is backed by at least one cited piece of evidence. Open a criterion to see what was found, when, and where.
Download diligence recordEvidence ledger
- Items
- 17
- Documentation
- 11
- Audit report
- 1
- Public statement
- 1
- Absence
- 4
- With a source URL
- 13 of 17
- Source hostnames
- 4
- Fewest items
- 2
- Article 11 Technical Documentation
These figures measure how thoroughly Dover was reviewed, not how Dover performed — an absence row, recording that nothing was located, is counted like any other item.
Article 11 Technical Documentation
2 items34
- DocumentationCaptured Jul 17, 2026
Help article documents the 0-100 scoring scale, colour coding, customer-defined criteria, the underlying model (OpenAI/Anthropic via the customer's API key), and a hover-to-see-why explanation - a light instructions-for-use surface but not a model card.
https://help.dover.com/en/articles/12468371-ai-powered-applicant-scoring
- AbsenceCaptured Jul 17, 2026
No AI model/system card, responsible-AI or ethics-principles page, explainability whitepaper, or ISO 42001 reference was found on dover.com, the help center, or via targeted web search.
Bias Audit Transparency
2 items52
- Audit reportCaptured Jul 17, 2026
Publicly hosted NYC LL 144 bias-audit result: auditor named as Varun Ganesan (vkg@gmail.com), audit date June 23 2023, historical data pulled June 21 2023, with full selection rates, scoring rates and impact ratios across sex, race/ethnicity and intersectional categories (~2,865 known-demographic applicants plus 4,853 unknown).
https://cdn.dover.io/compliance/Dover%20-%20Audit_Result.pdf
- DocumentationCaptured Jul 17, 2026
Customer-facing LL 144 explainer states Dover completed a bias audit with an independent auditor and 'automatically runs audits for all of our customers, even for companies using our free products,' covering the ATS and Copilot Sourcing Extension.
FRIA Support
2 items30
- AbsenceCaptured Jul 17, 2026
No EU AI Act Art. 27 FRIA template, deployer checklist, or EU-AI-Act guidance was found on dover.com, the help center, the data-protection policy, or via targeted search.
- DocumentationCaptured Jul 17, 2026
A NYC LL 144 deployer explainer shows some awareness of customer/deployer obligations, but it is US-specific and does not address EU AI Act fundamental-rights impact assessments.
Data Governance Disclosure
3 items50
- DocumentationCaptured Jul 17, 2026
GDPR framework with seven data-protection principles, a named Data Protection Officer (max@dover.com), a 16-entry subprocessor list (OpenAI, Google, Cloudflare, Elastic, Affinda, Nylas, etc.), encryption in transmission, access logging, and subscribe-to-subprocessor-changes notifications.
- DocumentationCaptured Jul 17, 2026
Privacy policy specifies data-retention limits (no longer than 90 days past account termination) and a data-deletion process (deletion within 72 hours on request), with generic technical/organizational security measures.
- AbsenceCaptured Jul 17, 2026
No SOC 2 or ISO 27001/42001 certification is published for the Dover recruiting product, and no explicit exclusion of candidate data from model training was found.
Human Oversight Design
2 items58
- DocumentationCaptured Jul 17, 2026
States 'AI scoring is a tool to help prioritize - always review applicants personally before making hiring decisions,' confirms Dover does not auto-reject on the AI output, and provides an in-interface 'hover over the score to see why the candidate may/may not be a match' explanation.
https://help.dover.com/en/articles/12468371-ai-powered-applicant-scoring
- Public statementCaptured Jul 17, 2026
LL 144 explainer frames the tools as evaluated to avoid unfair impacts and positions AI as an aid within a human-run hiring process rather than an autonomous decision-maker.
Post-Market Monitoring
3 items44
- DocumentationCaptured Jul 17, 2026
Live status page monitoring Dover ATS, candidate/job pages, search, scheduling, careers pages and the sourcing extension, showing 99.98-100% uptime, a real incident (July 17 2026 Auth0 login issue, resolved), and email/Slack/RSS subscription options.
- DocumentationCaptured Jul 17, 2026
Data-protection policy offers a subscribe-to-new-subprocessor-notifications channel, providing a change-notification surface for data-governance updates.
- AbsenceCaptured Jul 17, 2026
No AI model-update changelog, continuous bias/fairness monitoring dashboard, or public security/vulnerability-disclosure channel was found for the Dover product.
Customer Documentation
3 items60
- DocumentationCaptured Jul 17, 2026
Public product pages describe the free ATS, AI applicant scoring, the LinkedIn/Copilot sourcing extension, job-board distribution, and the fractional-recruiter marketplace.
- DocumentationCaptured Jul 17, 2026
Dedicated customer-facing NYC Local Law 144 explainer describing AEDT obligations, the bias-audit requirement, and Dover's compliance stance for its free and paid tools.
- DocumentationCaptured Jul 17, 2026
Help-center FAQ and articles (including the AI scoring guide) provide operational and privacy-oriented product documentation for users.
https://help.dover.com/en/articles/6233769-frequently-asked-questions
Editorial notes
Company overview
Dover (legal entity Staya Inc., dba Dover) is a San Francisco-based recruiting platform founded in 2019 and part of Y Combinator's Summer 2019 batch, having raised roughly $23M and served over 1,500 startups. Its stack combines a free ATS, a browser-based sourcing/outreach extension (Copilot), AI-powered applicant scoring that uses a customer-supplied OpenAI or Anthropic API key to rank resumes 0-100 against custom criteria, and an on-demand marketplace of fractional recruiters. The AI is positioned as a prioritization aid rather than an autonomous decision-maker.
Regulatory exposure
Dover's AI applicant-scoring and sourcing tools are automated employment decision tools within scope of NYC Local Law 144 and fall under Annex III high-risk employment use of the EU AI Act, plus emerging Illinois and Colorado AI-hiring rules. Dover has engaged the NYC regime directly: it published a customer-facing LL 144 explainer and posted a bias-audit summary, and it frames scoring as no-auto-reject decision support with mandatory human review, which reduces but does not remove exposure. However, the single public audit dates to June 2023 with no visible annual renewal, and there is no EU AI Act deployer material, so its documented posture lags current obligations.
Path to a higher score
The fastest wins: renew the 2023 bias audit annually with a recognized independent audit firm (rather than an individual) and post the current-year selection/impact-ratio summary, restoring LL 144 currency. Publish an AI system/model card and a responsible-AI/explainability statement to build Article 11 evidence, and add EU AI Act Art. 27 FRIA templates and deployer guidance. On data governance, obtain SOC 2 Type II or ISO 27001/42001 attestation and state explicitly that candidate data is excluded from model training. Finally, add an AI-specific model-update changelog and continuous monitoring surface beyond the uptime status page.
Regulatory frame
What applies to candidate sourcing AI.
Ranking outputs are inside Annex III §4 when they influence hiring decisions. GDPR Article 22 (automated decision-making) and the GDPR rights around profiling apply independently for EU candidates.
Compare
Dover against its nearest-scoring peers.
The closest scores in Candidate sourcing AI, side by side.
- Side-by-sideDover vs JobAdder45F
- Side-by-sideDover vs Jobvite45F
- Side-by-sideDover vs hackajob45F
- Side-by-sideDover vs Avionté45F
Ranking
Others rated in Candidate sourcing AI
Ranked 46 of 86 by weighted total under rubric v1.0. The ordering is arithmetic on the rubric and carries no view on which tool suits a given hiring process.
- #43Darwinbox46F
- #44JobAdder45F
- #45Jobvite45F
- #46DoverThis profile45F
- #47hackajob45F
- #48Avionté45F
Conflicts of interest
No vendor pays for placement, scoring, or removal. Casework - the consulting firm that operates this directory - provides paid services to some vendors. Any active or recent (within 24 months) commercial relationship is disclosed on the affected vendor profile and the review is reassigned to an independent reviewer. See the full policy on About.
Casework has no commercial relationship with this vendor.