by Lawdience
Serving plaintiff firms since 2015
Custom AI Projects for Class Action Plaintiff Firms
Extract evidence. Calculate damages. Find patterns. Fast.
Prove discrimination patterns through statistical analysis
Identify additional affected individuals in produced data
Track deceptive pricing using archived website data
Identify excessive 401(k) fees using Form 5500 filings
Extract hidden fees from plan documents
Categorize exposure levels for tiered damage calculations
Prove unauthorized recurring charges in payment data
Document hidden fees through website and terms analysis
Find off-the-clock work in email/system timestamps
Audit pension calculations for systematic underpayments
Identify customers trapped in impossible-to-cancel subscriptions
Calculate unpaid overtime across incompatible payroll systems
Extract cover-up timeline from internal communications
Document notification delays violating statutory deadlines
Identify misclassified employees through duty analysis
Identify patterns in wrongful benefit denials
Prove discrimination patterns through statistical analysis
Identify additional affected individuals in produced data
Track deceptive pricing using archived website data
Identify excessive 401(k) fees using Form 5500 filings
Extract hidden fees from plan documents
Categorize exposure levels for tiered damage calculations
Prove unauthorized recurring charges in payment data
Document hidden fees through website and terms analysis
Find off-the-clock work in email/system timestamps
Audit pension calculations for systematic underpayments
Identify customers trapped in impossible-to-cancel subscriptions
Calculate unpaid overtime across incompatible payroll systems
Extract cover-up timeline from internal communications
Document notification delays violating statutory deadlines
Identify misclassified employees through duty analysis
Identify patterns in wrongful benefit denials
Prove discrimination patterns through statistical analysis
Identify additional affected individuals in produced data
Track deceptive pricing using archived website data
Identify excessive 401(k) fees using Form 5500 filings
Extract hidden fees from plan documents
Categorize exposure levels for tiered damage calculations
Prove unauthorized recurring charges in payment data
Document hidden fees through website and terms analysis
Find off-the-clock work in email/system timestamps
Audit pension calculations for systematic underpayments
Identify customers trapped in impossible-to-cancel subscriptions
Calculate unpaid overtime across incompatible payroll systems
Extract cover-up timeline from internal communications
Document notification delays violating statutory deadlines
Identify misclassified employees through duty analysis
Identify patterns in wrongful benefit denials
Prove discrimination patterns through statistical analysis
Identify additional affected individuals in produced data
Track deceptive pricing using archived website data
Identify excessive 401(k) fees using Form 5500 filings
Extract hidden fees from plan documents
Categorize exposure levels for tiered damage calculations
Prove unauthorized recurring charges in payment data
Document hidden fees through website and terms analysis
Find off-the-clock work in email/system timestamps
Audit pension calculations for systematic underpayments
Identify customers trapped in impossible-to-cancel subscriptions
Calculate unpaid overtime across incompatible payroll systems
Extract cover-up timeline from internal communications
Document notification delays violating statutory deadlines
Identify misclassified employees through duty analysis
Identify patterns in wrongful benefit denials
Prove discrimination patterns through statistical analysis
Identify additional affected individuals in produced data
Track deceptive pricing using archived website data
Identify excessive 401(k) fees using Form 5500 filings
Extract hidden fees from plan documents
Categorize exposure levels for tiered damage calculations
Prove unauthorized recurring charges in payment data
Document hidden fees through website and terms analysis
Find off-the-clock work in email/system timestamps
Audit pension calculations for systematic underpayments
Identify customers trapped in impossible-to-cancel subscriptions
Calculate unpaid overtime across incompatible payroll systems
Extract cover-up timeline from internal communications
Document notification delays violating statutory deadlines
Identify misclassified employees through duty analysis
Identify patterns in wrongful benefit denials
Prove discrimination patterns through statistical analysis
Identify additional affected individuals in produced data
Track deceptive pricing using archived website data
Identify excessive 401(k) fees using Form 5500 filings
Extract hidden fees from plan documents
Categorize exposure levels for tiered damage calculations
Prove unauthorized recurring charges in payment data
Document hidden fees through website and terms analysis
Find off-the-clock work in email/system timestamps
Audit pension calculations for systematic underpayments
Identify customers trapped in impossible-to-cancel subscriptions
Calculate unpaid overtime across incompatible payroll systems
Extract cover-up timeline from internal communications
Document notification delays violating statutory deadlines
Identify misclassified employees through duty analysis
Identify patterns in wrongful benefit denials
Prove discrimination patterns through statistical analysis
Identify additional affected individuals in produced data
Track deceptive pricing using archived website data
Identify excessive 401(k) fees using Form 5500 filings
Extract hidden fees from plan documents
Categorize exposure levels for tiered damage calculations
Prove unauthorized recurring charges in payment data
Document hidden fees through website and terms analysis
Find off-the-clock work in email/system timestamps
Audit pension calculations for systematic underpayments
Identify customers trapped in impossible-to-cancel subscriptions
Calculate unpaid overtime across incompatible payroll systems
Extract cover-up timeline from internal communications
Document notification delays violating statutory deadlines
Identify misclassified employees through duty analysis
Identify patterns in wrongful benefit denials
Prove discrimination patterns through statistical analysis
Identify additional affected individuals in produced data
Track deceptive pricing using archived website data
Identify excessive 401(k) fees using Form 5500 filings
Extract hidden fees from plan documents
Categorize exposure levels for tiered damage calculations
Prove unauthorized recurring charges in payment data
Document hidden fees through website and terms analysis
Find off-the-clock work in email/system timestamps
Audit pension calculations for systematic underpayments
Identify customers trapped in impossible-to-cancel subscriptions
Calculate unpaid overtime across incompatible payroll systems
Extract cover-up timeline from internal communications
Document notification delays violating statutory deadlines
Identify misclassified employees through duty analysis
Identify patterns in wrongful benefit denials
class_ops specialize in analyzing large volumes of data to support class action litigation.
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employment
Calculate unpaid overtime across incompatible payroll systems
Find off-the-clock work in email/system timestamps
Identify misclassified employees through duty analysis
Prove discrimination patterns through statistical analysis
Document missed meal/rest breaks from timekeeping systems
Extract evidence of violations from Slack/Teams communications
Identify retaliation following protected activity
Calculate tip pool violations from POS data
Detect WARN Act violations in layoff patterns
Uncover wage theft in commission calculations
See more examples
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consumer
Document hidden fees through website and terms analysis
Identify customers trapped in impossible-to-cancel subscriptions
Track deceptive pricing using archived website data
Prove unauthorized recurring charges in payment data
Link warranty denials to known defects
Find bait-and-switch victims in sales records
Document systematic refund denials
Identify geographic pricing discrimination
Extract false advertising claims
Prove product origin misrepresentations
See more examples
data breach & privacy
Identify additional affected individuals in produced data
Document notification delays violating statutory deadlines
Categorize exposure levels for tiered damage calculations
Extract cover-up timeline from internal communications
Match client data to public breach notices
Detect illegal tracking and data collection
Document data retention violations
Find undisclosed third-party sharing
Identify exposed minors for enhanced damages
Calculate damages by data sensitivity
See more examples
ERISA & BENEFITS
Identify excessive 401(k) fees using Form 5500 filings
Audit pension calculations for systematic underpayments
Extract hidden fees from plan documents
Identify patterns in wrongful benefit denials
Find vesting calculation errors
Detect illegal plan amendments
Identify COBRA notification failures
Uncover vendor self-dealing
Document disability claim mishandling
Detect fiduciary breaches through performance analysis
See more examples
FAQ
Start by telling us what you're trying to find, for example wage violations, hidden fees, class members, or whatever patterns you suspect might be there. Describe what data you have access to (volume, formats, sources). We'll provide a project scope and quote based on this information. Once approved, you share the data, we run our analysis, and deliver actionable findings in the format you need.
AI can identify patterns across millions of documents that humans would miss—finding off-the-clock work in timestamps, calculating damages across incompatible systems, identifying class members from unstructured data, and extracting evidence from massive productions. The real value isn't just speed—it's finding the violations and patterns that would otherwise remain buried in the data.
We work with virtually any digital format—from structured databases and spreadsheets to unstructured documents, emails, and communication platforms. If it's digital, we can analyze it.
We use project-based pricing tailored to each case's scope and complexity. Pricing depends on factors like data volume, analysis type, and project requirements. Volume discounts are available for firms with multiple matters or ongoing analysis needs.
Contact: case@classops.ai
© 2025 LAWDIENCE / CLASSOPS
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