Data-driven, backend claim analysis, in real-time.
Bulk review claims using data-driven backend analysis via file transfer.
Aggregated results from a data-driven backend analysis to gain case insights
Aggregated results from a data-driven backend analysis to gain case insights
Transform fragmented, outdated, or incomplete class data into an optimized direct-notice list—while leveraging signals from the full dataset to guide precise, effective indirect-notice strategy.
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Contact data in complex litigation is often incomplete, outdated, or entirely missing, making effective direct notice difficult to achieve. Duplicative records, inconsistent formatting, and stale or inaccurate information further undermine deliverability. And even when contact data is unusable, the remaining records still hold meaningful signals that are rarely leveraged for indirect notice, leaving campaigns to rely on box-checking rather than reaching actual class members.
We bring clarity to messy contact data by cleaning, enriching, and validating every record. Our process transforms fragmented, outdated, or incomplete inputs into deliverable contact lists—and extracts meaningful signals from the full dataset to power precise, defensible indirect notice.
Standardize formats, repair inconsistencies, and create clean inputs for accurate downstream notice analysis.
Connect evolving identifiers, reconcile historical changes, and maintain continuity across shifting contact data.
Append missing details, update outdated information, and validate contact points for optimal direct deliverability.
Unify duplicative records, dedupe overlapping entities, and establish a single, authoritative contact profile.
Extract location and population insights, surface behavioral patterns, and generate signals that inform indirect notice.
Aggregate cross-platform data, align disparate signals, and enhance targeting precision across notice channels.
contact@covalynt.com
(973) 259-6120
Pompton Lakes, New Jersey 07442, US
