RetaliationCheck
Biometric Class Action RiskIllinois AIVIA & BIPAADA Neurodiversity Exposure

Video Interview AI Facial & Tone Analysis Risks

Asynchronous video interviewing tools utilizing computer vision facial mapping, vocal acoustics, and sentiment scoring expose employers to catastrophic biometric statutory damages, ADA disability discrimination claims, and mandatory state reporting violations. Discover how to safely govern video interviewing workflows.

Biometric StatuteBIPA (740 ILCS 14/)
AI Interview MandateAIVIA (820 ILCS 42/)
Disability ProtectionADA (42 U.S.C. § 12112)
Liquidated Damages$1k - $5k Per Scan
ADA · FMLA · EEOC Aligned Guidance

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Privacy Warning & Data Minimization

Please do not paste real employee names, emails, case IDs, or specific medical details. Replace sensitive identifiers with placeholders like [Employee] or [Condition] to keep historical logs anonymous. Analyses may be saved to your dashboard history, and are never used to train public AI models.

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Executive Summary: The Peril of Pseudoscientific Candidate Scoring

Why evaluating candidate facial geometry, micro-expressions, and vocal acoustics exposes organizations to strict-liability biometric class actions and EEOC enforcement.

$5,000 / Violation

BIPA Per-Scan Accrual

Under the Illinois Supreme Court's decision in *Cothron v. White Castle*, capturing facial geometry without prior written biometric consent accrues per instance. A class of 2,000 applicants can generate hundreds of millions in statutory exposure.

30-Day Purge

Illinois AIVIA Deletion Mandate

Illinois law gives applicants the statutory right to request permanent destruction of all video recordings. Employers and their video SaaS vendors must permanently wipe all local and cloud backup files within 30 days of receiving the request.

ADA Screening Bar

Neurodiversity Exclusion

EEOC guidance confirms that algorithms measuring vocal cadence, eye contact, and emotional affect inherently screen out neurodivergent candidates, triggering immediate liability under Title I of the Americans with Disabilities Act.

Dual Risk Theater: 10 Biometric Interview Traps vs. 10 Safe Harbor Protocols

Examine the fatal managerial and technical mistakes that trigger multimillion-dollar biometric privacy class actions versus legally insulated video screening workflows.

10 Fatal AI Video Interview Traps

1. Scanning Facial Landmarks Without Standalone BIPA Consent

Allowing software to measure facial geometry, eye movement, or micro-expressions in Illinois without obtaining an executed, standalone written Biometric Information Consent Release.

2. Failing to Explain AI Functionality Under Illinois AIVIA

Inviting Illinois applicants to complete an AI video assessment without providing an upfront, plain-language description explaining how the AI operates and the exact performance characteristics it scores.

3. Automated Rejection of Speech and Dialect Divergence

Scoring candidates down for vocal pauses, regional accents, or non-native English cadence, triggering Title VII national origin disparate impact and ADA speech impairment violations.

4. Interviewing Maryland Candidates Without Statutory Waivers

Deploying facial recognition or computer vision screening on Maryland applicants without obtaining the written pre-employment waiver mandated by Maryland Code § 3-717.

5. Ignoring 30-Day Video Deletion Requests

Treating candidate requests to delete video files as standard unsubscribe requests while leaving the video recordings and biometric vectors stored in the vendor's data lake past the 30-day statutory deadline.

6. Penalizing Neurodivergent Affect and Eye Contact

Using AI models that equate unwavering camera gaze and animated facial expressions with "engagement," systematically screening out autistic, ADHD, or clinically depressed applicants.

7. Neglecting Illinois DCEO Annual Reporting

Failing to compile and submit the annual demographic report detailing race, ethnicity, and gender metrics of video-screened applicants to the Illinois Department of Commerce by the October 25 deadline.

8. Retaining Biometric Facial Vectors Indefinitely

Permitting the software vendor to retain extracted facial embeddings, voiceprints, and biometric metadata for model training purposes after the candidate's application lifecycle has concluded.

9. Forcing Mandated Asynchronous AI Without Human Paths

Refusing to offer a live phone or human recruiter interview when an applicant requests an accommodation, claiming the automated AI video is a mandatory prerequisite for all candidates.

10. Lack of Written Biometric Retention Schedule

Failing to publish a written, publicly available biometric retention schedule and permanent destruction guidelines under BIPA Section 15(a), creating per se class action liability under *Rosenbach*.

10 Safe Harbor Operational Protocols

1. Decommissioning Facial & Vocal Emotion Scoring

Disable all automated facial landmarking, sentiment classification, eye gaze tracking, and vocal pitch scoring engines in favor of structured question delivery for human recruiter review.

2. Comprehensive Illinois AIVIA Written Disclosure

Deliver a transparent, plain-language written notice prior to recording that details exactly how the video platform works, what data is captured, and what job-related rubrics are evaluated.

3. Standalone BIPA Written Consent & Retention Schedule

Obtain an affirmative, signed standalone biometric release where applicable, and maintain a publicly accessible policy mandating destruction of biometric data within 1 year of collection.

4. Statutory Maryland Facial Recognition Waiver

Ensure any video interview tool used for Maryland residents includes an explicit, signed statutory waiver conforming with Maryland Code § 3-717 prior to initializing camera recording.

5. Automated 30-Day Candidate Purge Workflow

Implement an API-driven workflow that automatically purges applicant video files from both primary servers and third-party SaaS caches within 30 days of receiving a candidate deletion notice.

6. Standardized Human Rubrics Over Algorithmic Affect

Evaluate video responses using objective, competency-based behavioral rubrics scored by trained human interviewers rather than relying on computer vision or emotion AI outputs.

7. Automated Illinois DCEO Reporting Data Pipeline

Configure applicant tracking systems to continuously log demographic data for video-screened candidates, ensuring effortless generation of the annual Illinois DCEO compliance report by October 25.

8. Prohibition on Vendor Algorithmic Training Use

Execute MSA amendments forbidding SaaS vendors from using candidate video streams, voice samples, or transcriptions to train commercial foundational models or cross-client algorithms.

9. Frictionless ADA Accommodation Portal

Prominently display a zero-friction "Request Alternative Assessment" link on the interview landing page, seamlessly routing neurodivergent or disabled candidates to live human interviewers.

10. Strict 90-Day Maximum Video File Retention

Establish a hard company data retention ceiling automatically deleting all applicant video recordings 90 days after the requisition is closed, eliminating legacy data breach liability.

Statutory & Biometric Enforcement Matrix: Video AI Regulations

Comparative analysis of state biometric privacy statutes, AI video interview mandates, and federal disability enforcement frameworks.

Statutory Authority / AgencyLegal Standard / ThresholdEmployer Liability & SanctionsRequired Operational Safeguard
Illinois AIVIA
820 ILCS 42/ et seq.
Mandatory written notice of AI use, explanation of evaluated characteristics, prior written consent, and 30-day deletion upon request.Regulatory enforcement, administrative sanctions, and public demographic reporting non-compliance audits.Conspicuous pre-interview disclosure, candidate consent checkbox, automated 30-day deletion protocol, and annual DCEO filing.
Illinois BIPA
740 ILCS 14/ et seq.
Capturing facial geometry scans or voiceprints without standalone written release and published retention schedule.Liquidated damages of $1,000 per negligent violation and $5,000 per intentional violation; attorney fees; private right of action.Disable biometric facial scanning features or obtain executed BIPA consent releases; publish public retention schedules.
Maryland Facial Recognition
Md. Code, Lab. & Empl. § 3-717
Prohibits using facial recognition technology during job interviews without an applicant-signed statutory waiver.Civil penalties, administrative complaints before the Commissioner of Labor and Industry, and unfair trade practice claims.Mandatory standalone statutory waiver signed prior to applicant activating camera in Maryland hiring requisitions.
Americans with Disabilities Act
42 U.S.C. § 12112(b)(6)
Using selection criteria (e.g., eye contact, vocal pitch, facial affect) that screen out individuals with disabilities without validation.Compensatory and punitive damages up to statutory caps ($300k), back pay, mandatory injunctive orders, and consent decrees.Prominent accommodation notice offering immediate, penalty-free access to human-led interviews or alternate formats.
California CCPA / CPRA
Cal. Civ. Code § 1798.100
Processing biometric information and automated decision-making profiling of California job applicants without notice at collection.Administrative fines of up to $7,500 per intentional violation enforced by California Privacy Protection Agency (CPPA).Comprehensive Notice at Collection for job applicants detailing biometric data categories and purpose of processing.

Judicial Precedents & Biometric Enforcement Case Law

Four landmark rulings defining per-scan accrual, aggrieved party status, and biometric data extraction liabilities.

Per-Scan Accrual DoctrineIllinois Supreme Court (2023)

Cothron v. White Castle System, Inc., 2023 IL 128004

Facts: An employee alleged that her employer repeatedly scanned her biometric fingerprint data without statutory written consent each time she accessed workplace systems, arguing each scan constituted a separate violation.

Holding: The Illinois Supreme Court held that a separate claim accrues under BIPA Section 15(b) and 15(d) each time biometric data is captured or transmitted, creating staggering per-scan statutory exposure that can bankrupt non-compliant employers.

Takeaway: If an AI video platform analyzes facial frames continuously (e.g., 30 frames per second over a 15-minute interview), non-compliant data collection multiplies statutory damages catastrophically.
No Actual Harm RequiredIllinois Supreme Court (2019)

Rosenbach v. Six Flags Entertainment Corp., 2019 IL 123186

Facts: An amusement park patron challenged the collection of biometric thumbprint data without prior written notice or consent. The defendant argued the plaintiff suffered no real-world economic injury or physical harm.

Holding:The Court ruled that an individual is "aggrieved" under BIPA whenever a statutory procedural requirement is violated. A plaintiff need not demonstrate actual adverse consequences or monetary loss to recover statutory liquidated damages.

Takeaway:Job applicants can file class action lawsuits solely based on an employer's missing disclosure or lack of a published retention schedule, even if the candidate was ultimately hired.
FTC Regulatory ScrutinyFTC Administrative Matter (2020)

In re HireVue AI Video Assessment Practices

Facts:Privacy advocacy groups filed a comprehensive complaint with the Federal Trade Commission alleging that HireVue's AI facial analysis and vocal emotion scoring constituted deceptive trade practices lacking scientific foundation.

Outcome: In response to mounting federal scrutiny and scientific repudiation of emotion detection AI, HireVue formally phased out its facial analysis technology worldwide, transitioning exclusively to structured text-based and competency scoring.

Takeaway: Industry leaders have abandoned AI facial analysis due to scientific invalidity. Employers still utilizing legacy computer vision models face severe regulatory and reputational hazards.
EEOC Disability EnforcementEEOC Hearing Guidance (2022)

EEOC Technical Assistance on AI & ADA Compliance

Guidance: The EEOC issued formal enforcement guidelines warning employers that using video analysis tools measuring speech fluency, vocal pitch variations, or facial expressions violates Section 102 of the ADA if it screens out qualified individuals with disabilities.

Standard: Employers must provide advance notice of all traits assessed, provide accessible technology, and offer non-algorithmic evaluation paths without delay or penalty.

Takeaway: Employers cannot force candidates with cognitive, speech, or neuromuscular differences into video interview pipelines without proactive accommodation mechanisms.

5-Phase Managerial Protocol: Video AI Governance & De-Risking

A comprehensive operational workflow for auditing existing video interviewing platforms, purging biometric vectors, and achieving multi-state legal defensibility.

Phase 1: Video Technology Stack AuditWeeks 1 - 2

Catalog Video Platforms & Algorithmic Modules

Identify all software platforms used for candidate video submissions (e.g., HireVue, Modern Hire, Spark Hire, Willo, myInterview). Require vendors to provide an itemized architectural breakdown disclosing whether the platform performs facial geometry extraction, eye tracking, emotion detection, vocal acoustic analysis, or automated keyword scoring.

Key Deliverable:Video Software Technical Inventory detailing data types captured, algorithmic capabilities, and vendor storage locations.
Immediate Risk Action:Instruct SaaS vendors to immediately toggle off all facial expression, emotion classification, and voice pitch scoring modules.
Phase 2: Consent & Disclosure ArchitectureWeeks 3 - 5

Implement Compliant Pre-Interview Disclosures & Standalone Releases

Draft and deploy standardized written disclosures across all video interview invitations. For Illinois applicants, provide plain-language explanations of any AI scoring rubrics and obtain affirmative consent under 820 ILCS 42/. For Maryland applicants, secure executed statutory facial recognition waivers. Implement standalone BIPA biometric releases for any platform capturing facial geometry.

Key Deliverable:Multi-State Candidate Video Consent & Disclosure Portal integrated seamlessly into the ATS application funnel.
Legal Safeguard:Ensure consent forms are standalone documents and not bundled inside general terms of service or privacy notices.
Phase 3: Automated 30-Day Purge & Data MinimizationWeeks 6 - 8

Establish Statutory Deletion & 90-Day Retention Protocols

Configure automated lifecycle management rules that purge candidate video recordings and extracted audio files 90 days after requisition closure. Establish an automated API workflow ensuring any applicant request for video destruction under Illinois AIVIA triggers verified data deletion across both company databases and vendor cloud storage within 30 calendar days.

Key Deliverable:Automated Candidate Deletion Request Pipeline and Published Public Biometric Retention Schedule.
Vendor Audit:Obtain written confirmation that the vendor permanently purges residual cached files and vector embeddings upon deletion.
Phase 4: ADA Accommodation & Human-in-the-Loop RubricsWeeks 9 - 10

Deploy Frictionless Neurodiversity Paths & Structured Scoring

Establish an immediate, penalty-free accommodation workflow allowing candidates with autism, speech impediments, social anxiety, or visual impairments to opt out of asynchronous video recording in favor of a live interview with a recruiter. Train recruiters to evaluate video responses using objective, behaviorally anchored scoring rubrics focused exclusively on core job competencies.

Key Deliverable:Standardized Human Evaluator Scoring Rubric and Automated Recruiter Accommodation Alert System.
Anti-Bias Training:Mandate training for evaluators prohibiting consideration of candidate background decor, vocal inflection, or eye contact.
Phase 5: Illinois DCEO Annual Reporting & MSA UpdatesOngoing / Annual

Execute Statutory Reporting & Uncapped Vendor Indemnification

Maintain continuous demographic tracking (race, ethnicity, sex) for all candidates screened via video interview in Illinois, submitting the annual compliance filing to the Illinois DCEO by October 25. Update Master Service Agreements to incorporate strict representations that the vendor maintains BIPA compliance and provides uncapped indemnification for biometric class litigation.

Key Deliverable:Annual Illinois DCEO Video Interview Filing Packet and Executed Biometric Vendor Addendum.
Annual Audit:Conduct annual re-verification confirming that no new biometric or AI scoring features have been activated without HR approval.

Operational Scripts & Vendor Due Diligence Templates

Field-tested recruiter scripts addressing candidate accommodation requests and a formal vendor compliance notice demanding biometric data confirmation.

"Hello [Candidate Name], thank you so much for reaching out regarding the asynchronous video interview invitation for the [Job Title] position. We completely understand your questions regarding our evaluation process. I want to assure you that [Company Name] does not use any automated artificial intelligence, computer vision facial scanning, emotion detection, or vocal tone scoring to evaluate our candidates. Our asynchronous video platform is utilized solely as a flexible recording tool to help our human hiring team review candidate responses at a time that works for everyone. Every recording is viewed and scored exclusively by trained human talent acquisition professionals using standardized, job-related behavioral rubrics. Furthermore, if you would prefer not to record a video—whether due to a disability, speech difference, technical constraint, or personal preference—we are more than happy to schedule a live phone or direct virtual interview with one of our recruiters. Your application will receive the exact same thorough and equitable consideration. Would you like me to go ahead and set up a live interview time for us this week?"

*Note: Replace all bracketed items such as [Employee Name] or [Objective Metric] before transmitting. Do not alter the protective phrasing structure without HR compliance review.

Technical Architecture: Biometric AI Analysis vs. Compliant Video Workflow

Comparing high-exposure algorithmic video architectures against legally defensible human-evaluated video frameworks.

High-Risk Algorithmic Video Pipeline

  • •Computer Vision Landmark Tracking: Extracts 68+ facial coordinates per video frame, mapping smile frequency and eye gaze (triggers BIPA § 15(b)).
  • •Acoustic Voiceprint Analysis: Scores vocal pitch variation, speech fluency, and pauses (disparate impact on speech impediments and non-native speakers).
  • •Automated Disqualification Scoring: Rejects candidates scoring below algorithmic percentiles without human review (violates NYC Local Law 144 & EU AI Act).
  • •Permanent Vendor Model Storage: Retains video files and extracted feature vectors indefinitely to refine vendor commercial algorithms.

Legally Defensible Human-in-the-Loop Pipeline

  • •Zero Biometric Extraction: Video platform operates purely as a secure media capture recorder; no facial coordinate mapping or voiceprints extracted.
  • •Behaviorally Anchored Human Rubrics: Responses evaluated exclusively by trained human recruiters against structured, job-relevant competency rubrics.
  • •Frictionless ADA Accommodation: Candidates can bypass video recording with a single click, instantly routing to a live phone or video interview.
  • •Automated 90-Day Auto-Purge: Video files automatically purged 90 days after requisition closure; 30-day purge on candidate demand.

Interactive Compliance Risk Quiz

Evaluate your team's understanding of biometric privacy laws, asynchronous video interview regulations, and ADA neurodiversity safeguards.

Interactive Pre-Discipline Audit60-Second Self-Check

Quick Legal Liability Screener for Video Interview AI Facial & Tone Analysis Risks

Answer 4 core questions to evaluate whether your planned communication or documentation would withstand an EEOC investigation or federal court review.

1. Has the employee taken medical leave, requested an accommodation, or raised a workplace concern in the last 90 days?

Federal courts apply 'temporal proximity' (Clark County v. Breeden) where adverse actions within 1-3 months of protected activity trigger an inference of retaliatory intent.

2. Does your proposed draft or talking points mention 'absences', 'scheduling disruption', or 'attitude since the complaint'?

Under 29 C.F.R. § 825.220(c) and EEOC guidance, linking discipline to protected leave disruption constitutes prima facie direct evidence of unlawful interference.

3. Do you have documentation proving that employees with identical performance who did NOT take leave received the same warning?

Under the McDonnell Douglas burden-shifting framework, failure to discipline non-leave-taking peers for identical metrics proves unlawful pretext.

4. Has an HR compliance specialist or employment counsel formally reviewed and approved the specific wording?

Cat's Paw doctrine (Staub v. Proctor Hospital) holds companies liable when decision-makers rely on reviews tainted by a frontline supervisor's animus.

6-Point Video AI Due Diligence Checklist

Essential technical, legal, and operational controls required before using video interview platforms in multi-state hiring workflows.

1

Disable Biometric Features

Confirm that automated facial expression analysis, emotional affect classification, and vocal acoustics have been completely disabled by the vendor.

2

Illinois AIVIA Notice

Provide pre-interview written notice to Illinois applicants explaining how the tool functions, the traits evaluated, and obtaining affirmative written consent.

3

Maryland Facial Waiver

Require Maryland candidates to execute a formal statutory waiver under Maryland Code § 3-717 prior to camera initialization.

4

30-Day Purge SLA

Establish an automated technical workflow ensuring any candidate deletion request results in complete video file destruction within 30 calendar days.

5

ADA Opt-Out Channel

Maintain a prominent, friction-free alternative assessment link allowing candidates with disabilities or speech variations to schedule human-led interviews.

6

Annual DCEO Reporting

Track candidate demographic data across race, ethnicity, and gender, ensuring annual submission to the Illinois DCEO by the October 25 deadline.

Frequently Asked Questions: AI Video Interview Compliance

Practical answers to complex operational and legal questions surrounding video interviewing tools, BIPA exposure, and candidate consent.

What are the core requirements of the Illinois Artificial Intelligence Video Interview Act (AIVIA)?

Under the Illinois Artificial Intelligence Video Interview Act (820 ILCS 42/), any employer utilizing AI to analyze asynchronous applicant video interviews must: (1) notify candidates in writing before the interview that AI will be used; (2) provide an explanation describing how the AI functions and the specific characteristics evaluated; (3) obtain prior written consent from the candidate; (4) refrain from sharing candidate videos except with technical vendors; (5) completely destroy candidate video recordings within 30 days of a candidate request; and (6) report annual demographic selection data to the Illinois Department of Commerce and Economic Opportunity (DCEO).

Does AI facial analysis in video interviews trigger liability under Illinois BIPA?

Yes, potentially catastrophic liability. Under the Illinois Biometric Information Privacy Act (740 ILCS 14/), scanning facial geometry or mapping facial expressions constitutes collecting 'biometric identifiers.' If an employer fails to obtain a standalone written biometric release, publish a publicly available retention and destruction schedule, or allows third-party data sharing, statutory liquidated damages are $1,000 per negligent violation and $5,000 per intentional or reckless violation under Cothron v. White Castle System, Inc.

How does AI facial and voice analysis discriminate against neurodivergent applicants under the ADA?

AI models that score candidates on eye contact, vocal pitch variations, micro-facial expressions, speech cadence, and physical stillness inherently screen out individuals with disabilities. Applicants on the autism spectrum, individuals with Tourette syndrome, Bell's palsy, severe stuttering, Parkinson's disease, or visual impairments will routinely receive depressed 'enthusiasm,' 'confidence,' or 'sociability' scores. Under 42 U.S.C. § 12112(b)(6), using screening criteria that screen out disabled individuals without providing alternative assessment formats violates the ADA.

What restrictions does Maryland impose on facial recognition during job interviews?

Maryland Labor and Employment Code § 3-717 strictly prohibits an employer from using any facial recognition service during an applicant's pre-employment interview unless the applicant signs a formal statutory waiver. The waiver must expressly consent to the specific facial recognition technology, detail how facial metrics are captured, and outline how the resulting data is stored and destroyed.

Can an employer store candidate video recordings indefinitely for future job openings?

No. Under state biometric statutes and data minimization principles, retaining applicant video files indefinitely creates enormous regulatory and cyber liability. Under 820 ILCS 42/15, if a candidate requests video deletion, the employer must permanently purge the video and instruct all software vendors to destroy all backup copies within 30 days. Maintaining recordings beyond stated retention schedules violates CCPA/CPRA, BIPA, and European GDPR extraterritorial mandates.

What must an employer do if a candidate requests an accommodation to bypass an AI video interview?

Under EEOC guidance and Title I of the ADA, the employer must immediately engage in the interactive process and offer an effective alternative assessment method—such as a live phone interview, a traditional video conversation without algorithmic scoring, or a written competency work sample. The employer cannot penalize the candidate, delay their review cycle, or require invasive medical disclosures to grant an AI interview accommodation.

Are algorithmic vocal pitch and tone analyses legally valid predictors of job performance?

Rarely. In almost all corporate environments, measuring vocal acoustic features (jitter, shimmer, pitch variance) lacks scientific criterion validity under the EEOC Uniform Guidelines on Employee Selection Procedures (29 C.F.R. Part 1607). Furthermore, vocal analysis creates severe disparate impact against non-native English speakers, regional dialect speakers, and candidates with vocal cord paralysis, exposing the employer to Title VII national origin discrimination claims.

Who is responsible for annual demographic reporting under Illinois AIVIA?

Any employer that uses AI video analysis to screen candidates for positions located in Illinois must track the race, ethnicity, and gender of both candidates who were selected for an in-person interview and candidates who were not offered an interview. The employer must submit this aggregated demographic data annually by October 25 to the Illinois Department of Commerce and Economic Opportunity (DCEO).

Can an employer rely on a software vendor's boilerplate terms of service for candidate consent?

No. Both Illinois AIVIA and BIPA require affirmative, informed, written consent directly between the applicant and the employer (or an explicit release naming both). A pre-checked box or a buried link in vendor terms of service fails the statutory threshold for informed biometric consent, leaving the employer fully exposed to private right of action class litigation.

What operational steps should an organization take to decommission high-risk facial analysis tools?

Employers should disable computer vision, facial expression scoring, and vocal tone analysis modules immediately, transitioning video interviewing platforms to asynchronous recording platforms used solely for structured human recruiter review. Employers must simultaneously audit vendor data lakes to confirm full contractual destruction of historical biometric facial vectors and audio acoustic templates.

Regulatory Authority & Statutory References

This operational compliance playbook is formulated under the Illinois Artificial Intelligence Video Interview Act (820 ILCS 42/), the Illinois Biometric Information Privacy Act (740 ILCS 14/), Maryland Labor and Employment Code § 3-717, the Americans with Disabilities Act of 1990 (42 U.S.C. §§ 12101 et seq.), the California Consumer Privacy Act (Cal. Civ. Code § 1798.100 et seq.), and landmark judicial precedent in *Cothron v. White Castle System, Inc.* (Ill. 2023) and *Rosenbach v. Six Flags Entertainment Corp.* (Ill. 2019). Consult qualified corporate employment counsel and privacy attorneys prior to implementing video interviewing software.

820 ILCS 42/740 ILCS 14/Md. Code Lab. § 3-71742 U.S.C. § 12112Cal. Civ. Code § 1798.100

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