Key Takeaways

  • 75% of U.S. employers use automated applicant tracking systems to screen resumes before a human reviews them (Harvard Business School & Accenture, 2021)
  • The most common ATS failures are missing keywords, incompatible formatting, and incorrect file types
  • ResumeGeni scores your resume across 8 parsing layers — modeled on the same steps enterprise ATS platforms like Workday, Greenhouse, and Taleo use to evaluate candidates

How ATS Resume Scoring Works

Applicant tracking systems parse your resume into structured data — extracting your name, contact info, work history, skills, and education — then score how well that data matches the job requirements. Many ATS rejections happen because the parser couldn't extract critical fields, not because the candidate wasn't qualified.

LayerWhat It ChecksWhy It Matters
Document extractionFile format, encoding, readabilityCorrupted or image-only PDFs fail immediately
Layout analysisTables, columns, headers, footersMulti-column layouts break field extraction
Section detectionExperience, education, skills headingsNon-standard headings cause sections to be missed
Field mappingName, email, phone, dates, titlesMissing contact info is a common cause of immediate rejection
Keyword matchingJob-specific terms, skills, certificationsKeyword overlap affects recruiter search visibility and ATS scoring
Chronology checkDate ordering, gap detectionReverse-chronological order is expected by most ATS
QuantificationMetrics, numbers, measurable outcomesQuantified achievements help human reviewers and some scoring models
Confidence scoringOverall parse quality and completenessLow-confidence parses get deprioritized in results

Frequently Asked Questions

Is ResumeGeni free?
Yes. ResumeGeni is currently in beta — ATS analysis, scoring, and initial improvement suggestions are free with no signup required. Full guidance and saved reports may require a free account.
What file formats are supported?
PDF, DOCX, DOC, TXT, RTF, ODT, and Apple Pages. PDF and DOCX are recommended for best ATS compatibility.
How is the ATS score calculated?
Your resume is processed through an 8-layer parsing pipeline that extracts structured data the same way enterprise ATS platforms do. The score reflects how completely and accurately your resume can be parsed, plus how well your content matches common ATS ranking criteria.
Can ATS read PDF resumes?
Yes, but not all PDFs are equal. Text-based PDFs parse well. Image-only PDFs (scanned documents) and PDFs with complex tables or multi-column layouts often fail ATS parsing. Our analyzer will flag these issues.
How do I improve my ATS score?
Focus on three areas: use a clean single-column format, include keywords from the job description naturally in your experience bullets, and ensure all sections (contact, experience, education, skills) use standard headings.

ATS Guides & Resources

Built by engineers with 12 years of experience building enterprise hiring technology at ZipRecruiter. Last updated .

Review Associate - India

Disco · Gurugram, Haryana, India

Your Impact

The Review Associate is responsible for leveraging DISCO AI to conduct document review in accordance with international law firms and corporate legal department requirements. They are instrumental in assisting discovery or investigations and focus on the review of complex documents, first-level review, quality control processes, and enhancing client outcomes through increased efficiency and quality of work product.

What You'll Do

  • Review Documents: Reviews large volumes of complex documents for relevancy, issue tags, and privilege, identifying key documents that assist in legal reviews. 
  • Quality Control: Emphasizes accuracy with a “first-time right” approach, adhering to standard operating procedures (SOPs) and creating decision logs for quality assurance. 
  • Client Engagement: Works closely with clients to understand pain points and provide solutions, liaising with product and engineering teams for feedback and feature requests. 
  • Process Documentation: Assists in the preparation of standard documentation, including review protocols, status reports, training guides, and review workflow
  • Time Management: Ensures all jobs are completed according to the client's specifications, in a timely fashion.

Who You Are

  • 0-2+ years of document review management experience in e-discovery/managed review or related legal services. 
  • Experience with one or more review platforms like DISCO, Relativity, Everlaw, Axcelerate, etc.
  • Strong understanding of legal concepts and procedures. 
  • Excellent written and verbal communication. 
  • Exceptional problem-solving skills, attention to detail, strong organization, and client-service orientation.

Even Better If You Have...

  • Experience with global client engagements across various time zones (primarily with clients in the USA and UK).
  • Experience working in collaboration with product and engineering teams in a legal or technological environment.

Perks of DISCO

  • Open, inclusive, and fun environment
  • Benefits, including medical and dental insurance
  • Competitive salary plus discretionary bonus
  • Opportunity to be a part of a startup that is revolutionizing the legal industry
  • Growth opportunities throughout the company

 

About DISCO

DISCO provides a cloud-native, artificial intelligence-powered legal solution that simplifies ediscovery, legal document review and case management for enterprises, law firms, legal services providers and governments. Our scalable, integrated solution enables legal departments to easily collect, process and review enterprise data that is relevant or potentially relevant to legal matters. 

At DISCO, we believe AI is a core enabler of how work gets done. All employees are expected to proactively adopt and responsibly use AI tools to drive efficiency, improve outcomes, and continuously evolve how they operate in their role.

Are you ready to help us fulfill our mission to use technology to strengthen the rule of law? Join us! 

We are an equal opportunity employer and value diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.