Identify gender of lawyer using AI

Below is a free classifier to identify gender of lawyer. Just upload your image, and our AI will predict if the lawyer is male or female - in just seconds.

gender of lawyer identifier

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Get started

    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("gender-of-lawyer", "your_image_url", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/gender-of-lawyer/invoke', {
        method: 'POST',
        headers: {
            'Authorization': 'Bearer ' + 'YOUR_BEARER_TOKEN',
            'Content-Type': 'application/json',
        },
        body: JSON.stringify(
            {"data": "your_image_url"}
        )
    })
    .then(response => response.json())
    .then(data => console.log(data));
                

    curl -X POST \
        -H "Content-Type: application/json" \
        -H "Authorization: Bearer YOUR_BEARER_TOKEN" \
        -d '{"data": "your_image_url"}' \
        https://www.nyckel.com/v1/functions/gender-of-lawyer/invoke
                

How this classifier works

To start, upload your image. Our AI tool will then predict if the lawyer is male or female.

This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Female Lawyer and Male Lawyer.

We'll also show a confidence score (the higher the number, the more confident the AI model is around if the lawyer is male or female).

Whether you're just curious or building gender of lawyer detection into your application, we hope our classifier proves helpful.

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Need to identify gender of lawyer at scale?

Get API or Zapier access to this classifier for free. It's perfect for:



  • Client Demographics Analysis: By identifying the gender of lawyers, firms can analyze demographic distributions within their teams. This data can guide efforts to create a more inclusive environment and to understand if there are biases in client-lawyer matchups.

  • Marketing Resource Allocation: Legal firms can tailor their marketing strategies based on gender representation among their lawyers. For instance, campaigns could highlight female lawyers for cases involving women-related issues, increasing client engagement and trust.

  • Diversity Hiring Initiatives: Law firms can utilize gender classification to assess their current workforce diversity. This insight can inform targeted recruitment efforts aimed at increasing the representation of underrepresented genders within their practice.

  • Gender-Based Performance Metrics: Firms can analyze and compare performance metrics across genders, identifying any disparities in case outcomes or client satisfaction. This data can help address potential biases and improve overall firm performance.

  • Trend Analysis for Legal Services: The gender classification of lawyers can be used to track trends in gender representation over time within specific legal markets. This information can provide insights into the evolution of gender roles in law and help firms stay ahead of industry changes.

  • Compliance with Gender Equality Standards: Legal organizations can use the technology to verify compliance with gender equality regulations and standards. By accurately classifying gender, firms can document their diversity initiatives and report more effectively to stakeholders.

  • Enhancing Client Relationships: Knowing the gender of lawyers can help firms better match clients with lawyers who share similar backgrounds or values. This personalization can enhance client experiences and strengthen relationships, potentially leading to higher retention rates.

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