AI Use Case: Notaries Using Zoom To Verify Identities and Scan for Fraudulent Id Documents During Calls

Remote notarizations can be faster, more secure, and auditable when AI-assisted identity verification and fraud screening are integrated into Zoom calls. By embedding live checks, document analysis, and risk scoring into the workflow, Notaries reduce fraud risk while preserving convenience for clients.

Direct Answer

Notaries can perform identity verification and fraudulent ID screening during Zoom calls by combining live video checks, OCR-based document verification, and AI risk scoring. Real-time feedback helps the notary confirm identity, detect inconsistencies, and flag suspicious documents before proceeding with the notarization. This approach improves compliance, shortens call duration, and creates a verifiable audit trail without sacrificing remote convenience.

Current setup

Identity verification is mostly manual during remote calls, with clients presenting IDs for visual inspection.
Documents may be scanned after the call, delaying the notarization and increasing risk of errors.
Audit trails are partial or manual, making post-call reviews time-consuming.
Fraud indicators (fake IDs, altered docs) aren’t surfaced in real time.
Workflow relies on basic video conferencing without integrated AI checks.

What off the shelf tools can do

Real-time identity verification during video calls using AI-powered checks from providers such as Onfido or similar services to confirm names, photos, and document validity.
OCR and document validation to extract data from IDs and compare against client records.
Automated risk scoring to flag anomalies (photo mismatch, tampered borders, expiration inconsistencies) during the call.
Automation to route flagged cases to human review and preserve an audit log (e.g., via Zapier or Make workflows).
CRM and case-management integration to capture verification results in the client file (e.g., HubSpot or Airtable).
Secure data handling and documentation storage with configured data retention policies in spreadsheets or Notion workspaces (e.g., Notion).
Communication and collaboration trails through familiar tools (Slack, WhatsApp Business) for alerts and follow-ups when a risk is detected.
Contextual reference to related workflows: for scalable guidance see related use cases such as the online tutors scenario during Zoom sessions and the import/export compliance workflow.
Note: early pilots can leverage Zoom’s extensibility and standard security settings to maintain compliance during screening.

Where custom GenAI may be needed

Tailored fraud indicators: building domain-specific rules for Notary workflows, such as jurisdiction-specific ID formats and common fraud patterns.
Adaptive risk scoring: a GenAI layer that learns from outcomes (approved vs. rejected verifications) to adjust thresholds over time.
Document provenance and forgery detection: custom models to detect subtle alterations in IDs or supporting docs beyond off-the-shelf OCR.
Audit trail synthesis: automated generation of a concise verification summary for each notarization, including timestamped events and decision rationale.

How to implement this use case

Map the workflow: pre-call verification steps, live checks during the Zoom session, and post-call audit and retention processes.
Choose core tools: Zoom for calls; integrate an identity-verification provider (e.g., Onfido) and an OCR/validation tool; select an automation platform (Zapier or Make) to connect data to your CRM or Notion workspace.
Configure data flow: capture ID data securely, run real-time checks, and store results in the client’s record with a clear audit trail.
Set risk thresholds and escalation: define what constitutes a flag requiring human review and how to route those cases to staff in HubSpot, Airtable, or your case-management system.
Pilot and iterate: run a 4–6 week pilot with a small client set, monitor false positives/negatives, and adjust models and thresholds before full rollout.

Tooling comparison

Off-the-shelf automation	Custom GenAI	Human review
Fast setup, real-time checks via integrated services; scalable across clients.	Tailored fraud rules and adaptive scoring; higher accuracy for jurisdiction-specific requirements.	Final verification override, discretionary review, and audit validation when uncertainty remains.

Risks and safeguards

Privacy and data protection: ensure consent, minimize data collection, and apply encryption and retention controls.
Data quality: verify source IDs, handle blurred images, and maintain up-to-date document formats.
Human review: maintain a clear escalation path and documented decision rationale to support compliance.
Hallucination risk: separate AI outputs from factual identity data; always cross-check with the original documents.
Access control: restrict who can view PII and enable role-based permissions in all tools.

Expected benefit

Stronger identity verification during remote notarizations, reducing fraud risk.
Faster call flow with real-time checks and automated data capture.
Consistent audit trails for compliance audits and regulatory reviews.
Improved client trust and smoother notarization experiences for remote clients.

FAQ

Can these checks be performed without slowing the client experience?

Yes. Real-time verification runs in parallel with the call flow and only escalates when a risk is detected, preserving a smooth user experience.

What data is stored and for how long?

Only the verification results, metadata, and necessary identifiers are stored, following your retention policy and applicable privacy laws.

Do I need specialized IT staff to implement this?

Not necessarily. Many off-the-shelf integrations are designed for no-code setups, but a security-best-practices review is recommended.

How do I handle false positives?

Calibrate risk thresholds with a controlled pilot, keep a manual review path, and continuously refine rules based on outcomes.

Which jurisdictions can this support?

Supports common ID formats and can be adapted to jurisdiction-specific rules through configurable validation rules and partners.

AI Use Case for Notaries Using Zoom To Verify Identities and Scan for Fraudulent Id Documents During Calls