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
Covalynt purpose built a suite of Identity Solutions for Class Actions and Mass Torts. We own our own data, build our own models, and solve the data challenges no standard tool can.
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Our specialized identity solutions are built to address every unique challenge in class actions and mass torts.
Fragmented defendant data and missed duplicates at certification corrupt every metric that follows—reach, claims rate, and class size. A flawed foundation compounds into a flawed outcome.
Build a defensible class definition >
Incomplete, outdated contact data at the notice phase doesn't just hurt deliverability—it leaves legitimate class members unreached and your due process obligations exposed.
Turn class data into deliverable lists >
Fraud and ineligible submissions at claims processing drain settlement funds meant for legitimate class members—and put your fee award at risk.
Protect your settlement fund >
When your case raises data challenges no standard tool was built to solve, we engineer the solution from scratch.
Solve unique data challenges >Where legal expertise meets applied data science.
Where legal strategy, data science, and engineering converge. Meet the team shaping the future of complex litigation data science.
Read our story >From federal court appointments to back-of-house consulting. See how our methodology performs in high-stakes matters.
View our track record >Security engineered for high-stakes data. Supported by SOC 2 auditing, vulnerability assessments, and penetration testing.
Review our security standards >Seamless ingestion for the teams that power complex litigation.
Incomplete, outdated contact data at the notice phase doesn't just hurt deliverability—it leaves legitimate class members unreached and your due process obligations exposed.
Learn more >Trusted in the highest-profile matters.
Lopez v. Apple, Inc.
Hubbard, et al. v. Google LLC, et al.
Katz-Lacabe et al v. Oracle America, Inc.
Brooks v. Thomson Reuters Corp.
Mackmin et al. v. Visa Inc. et al.
In re Broiler Chicken Antitrust Litigation
Ruffin, et al. v. CVS Pharmacy, Inc.
Kessler, et al. v. The Quaker Oats Company
Hasemann, et al. v. Gerber Products Co., et al.
Bush v. Rust-Oleum Corporation, et al.
Jien et al v. Perdue Farms, Inc. et al
Pompilio, et al. v. Boar’s Head Provisions Co. Inc.
Nixon v. Grande Cosmetics, LLC
Brown et al v. JBS USA Food Company et al
Jimenez v. Artsana USA, Inc.
Perez v. Rash Curtis & Associates
Rosenfeld et al. v AC2T, Inc.
Landsheft v. Apple Inc.
Frasco v. Flo Health, Inc.
In class action litigation, "ascertainability" is the foundation upon which a multi-billion dollar case stands or falls.
Is your class action strategy backwards? Most class action litigation firms focus on finding an administrator first, but the most successful firms focus on the data first.
Settlement administration has become a data science challenge. In an era of bot fraud and increased judicial scrutiny, passive "mailing list" approaches have become a significant liability. This post explores how Covalynt’s Identity Solutions provide the technical horsepower needed to satisfy Rule 23 mandates and protect settlement funds. Learn how Deep Validation, ClaimScore, and ClassResolution create a transparent, auditable record of professional diligence that ensures recoveries reach the right hands.
