Our approach to
AI, data, and privacy
Our team has been building AI for recruiting for 10+ years—directly shaping how the industry uses it responsibly.

From bias mitigation to privacy protection and enterprise-grade security, our work has earned the trust of people leaders at Bloomberg, Cisco, Johnson & Johnson, Samsung, and Spotify.

That foundation is built into everything Lavalier does.
Lavalier makes every interview count.
Here's how we use AI to make it happen.
Exactly what Lavalier does
Aligns recruiters and hiring managers on role criteria and builds a structured interview plan before the first interview
Provides interviewers with consistent, role-relevant questions and live prompts during the interview
Captures and summarizes what candidates said, grounded only in the interview itself
Compares candidates to the job description, so hiring teams can make fast and confident hiring decisions
The stuff our AI won’t do
It does not make any hiring decisions
It does not score, rank, or recommend candidates
It does not analyze or consider protected characteristics like age, race, gender, or family status, to name a few
It does not use your data to train or improve AI models
It does not scrape the internet or enrich candidate profiles with outside data
We never train on your data
Lavalier does not train or fine-tune AI models using customer data. Your data is used only to generate responses relevant to the interview and role.
Privacy starts with the candidate
We never enrich candidate profiles
Lavalier does not scrape public websites, purchase data from brokers, or pull in anything about a candidate from outside the interview. What a candidate shares directly is the only information Lavalier uses.
Candidates are notified before the first interview
Prior to the first interview, candidates receive an email notifying them that Lavalier is being used. This notice gives them the opportunity to opt out of recording.
AI in the process, you in control
Bias mitigation built in
Lavalier AI automatically scans for discriminatory language and flags content that could introduce bias into candidate evaluation—including any mention of a candidate's protected characteristics status. Feedback and quality scoring focus exclusively on job-relevant skills and qualifications.
Every AI response is grounded in the interview itself
Summaries and insights are generated from what was said in the conversation. Users can navigate directly to any point in the transcript to see the source of any AI-generated insight.
Your team makes every hiring decision
Lavalier's AI is not an automated employment decision tool (AEDT) or automated decision-making tool (ADMT). It does not score, rank, or recommend specific candidates. Lavalier AI provides analysis and context, your team makes better and faster hiring decisions.
Security  you can count on
ISO 27001 and SOC 2 Type II certifications
GDPR and CCPA compliant
Data Processing Agreement (DPA) available here
Ongoing employee security training
Frequently Asked Questions
Do you train your models on customer data?
Who owns the input and output of the AI?
Is Lavalier an automated decision-making tool (AEDT/ADMT)?
Do you test for bias?
Which LLM providers does Lavalier use?
Do you scrape public profiles or purchase candidate data?
How does Lavalier ensure our data is being transferred safely and securely?
Lavalier is free to get started.
Try it on your next role.
Try Lavalier