The operating system for mass tort litigation.
Pattern Data is a case management platform for mass tort litigation. It organises every record in a docket against the criteria of each litigation, flags gaps and open issues, and shows reviewers where to act next. The product is built for plaintiff firms and claims administrators handling large multi-claimant matters across multiple MDLs, where case files change as requirements evolve.
Product
Pattern Data
Use cases
Founded
2020
Headquarters
United States
Funding stage
Unfunded
Last updated
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Pattern applies litigation-specific criteria across an entire docket in one system and measures each case against the rest of the inventory. When criteria change during an MDL, the same logic is reapplied, so teams do not need to revisit every file. Each suggested finding links back to the page it came from, and a reviewer accepts, edits or rejects it. Gaps are graded Critical, Major or Minor, with an explanation of their effect on the claim. Review moves through the litigation's criteria one step at a time, and issues roll up across the inventory to show where work should be prioritised. Allocation criteria can be applied at scale, with results reported by tier. The workflow runs in three stages. Screen validates exposure and injury early to qualify cases faster. Develop analyses records, surfaces gaps and models valuation across the inventory. Settle applies eligibility and allocation logic before submission. The vendor says it is trusted by top mass tort firms nationwide, and its website lists the litigations it supports as AFFF/PFAS, Camp Lejeune, CPAP, Chlorpyrifos and Depo-Provera. Customer testimonials come from several plaintiff firms. The vendor also publishes research on model refinement and litigation analysis through Pattern Labs.
What it does
Baseline gates, open issues and chronology on each case's first screen.
Each suggested finding links to its source page for review.
Gaps graded Critical, Major or Minor, with their effect on the claim.
Review proceeds through litigation criteria one step at a time.
Issues roll up across the inventory to prioritise work.
Allocation criteria applied across inventory, reported by tier.
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Named enterprise customers
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Pattern Data Interface
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FAQs
Pattern Data is aimed at plaintiff firms and administrators managing high-stakes litigations across multiple MDLs. Pattern Data's website says it is trusted by top mass tort firms nationwide and names customers including Motley Rice, Beasley Allen and Wagstaff & Cartmell.
Every suggested finding links to the page of the record it came from. A reviewer then accepts, edits or rejects the finding, so the team keeps control of the final decision. The vendor describes this as AI proposing findings and the team making the call, with Pattern surfacing both the finding and the proof.
Pattern applies the criteria across the entire inventory in one system and reapplies that logic when requirements change. Teams do not need to go back into each file manually to keep pace. Reviewers move through the criteria one step at a time, which the vendor says helps new reviewers get up to speed quickly.
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