Automated Resume Screening
Fair, transparent and enhanced screening
Lighthouse uses AI where it adds real value — and avoids it where it creates risk. We extract the right information, remove bias-sensitive details, and enrich profiles with structured, searchable data.
- Standardize every resume for fairer comparisons
- Remove bias-prone data before evaluation starts
- Enrich candidate profiles with context you can actually use
The problem
Most tools guess
Most resume screening tools try to match resumes to job descriptions. That sounds simple — but it creates problems.
The common approach
- Compare resume language to job-description language
- Infer fit from similarity scores
- Reward keywords over real experience
- Introduce ambiguity, bias, and hallucinations
What goes wrong
- Strong candidates get missed for describing experience differently
- Weak candidates game the system with keyword stuffing
- Personal details can influence screening
- Teams get a score, but no clear reason behind it
The workflow
Parse. Standardize. Enrich.
Lighthouse doesn't start with AI matching. We start by building clean, structured candidate data.
01
Parse resumes — extract the right data first
Scan resumes and extract context from any major file type.
- Extract important context from any major file type
- Remove bias-prone information like PII before evaluation
- Normalize messy inputs so format differences don't distort outcomes
- Flag exploits like keyword stuffing and hidden AI prompts
Why it matters: Every resume starts on more equal footing. Recruiters spend less time cleaning up inconsistent documents, and screening gets more reliable before AI enters the process.
02
Standardize candidate data — one structure for everyone
Turn every resume into the same structure.
- Convert extracted data into a universal schema
- Align work history, education, skills and supporting context
- Create apples-to-apples comparisons across all applicants
- Surface missing information and gaps more clearly
Why it matters: Every candidate gets reviewed against the same structure and starts on the same footing. Downstream filtering, scoring and review all become easier.
03
Enrich with AI — context, not guesswork
Use natural language processing to tag skills, infer seniority, and append behavioral attributes — even when exact keywords are missing.
- Tag skills from real experience, not just keywords
- Identify industry, domain knowledge and seniority
- Append behavioral attributes from previous experience
Candidate writes: "Successfully owned and managed a portfolio of accounts"
Lighthouse identifies → Account management · Client ownership · Relationship management
Lighthouse identifies → Account management · Client ownership · Relationship management
Candidate writes: "Accountant at Aecon — built SOPs from scratch based on client's needs"
Lighthouse identifies → Industry: Construction · Construction Accountant · Senior level
Lighthouse identifies → Industry: Construction · Construction Accountant · Senior level
Behavioral attributes: Quick moves between recent roles → "Jumper". Fast growth within one company → "Motivated".
Why it matters: You get a nuanced, holistic profile to review — context most systems never capture.
Always improving
Models that keep improving
Our parsing and enrichment models get better over time — increasing coverage without changing your workflows.
- Improve extraction accuracy across resume formats
- Get better at identifying meaningful skills and adjacent roles
- Expand the set of useful, searchable candidate data
- Increase coverage without changing your workflows
FAQ
Frequently asked questions
Automated resume screening helps hiring teams review resumes faster by extracting, organizing, and surfacing relevant candidate information.
Lighthouse doesn't rely on resume-to-job-description matching alone. We use AI to parse, standardize, and enrich resume data using natural language processing and contextual information — creating a nuanced, holistic profile for recruiters to review.
Lighthouse removes bias-prone data like PII during parsing to reduce the chance that irrelevant personal details influence screening.
Yes. Lighthouse can identify and flag common exploits such as keyword stuffing and hidden AI prompt manipulation.
It adds context. Lighthouse can infer skills, domain knowledge, industry knowledge, tool proficiency and other useful attributes even when they aren't explicitly written as keywords.
No. AI helps structure and enrich the data, which fuels a rich scoring system based on the requirements that matter to you. At the end of the day, your team makes the final hiring decisions.
Get started
Stop drowning in resumes. Start hiring the best.
Modernize your hiring process with Lighthouse AI recruiting software — screen faster, fairer, and more accurately.