Most mass tort firms understand their cases. Far fewer understand their inventory.
That distinction matters more than it might seem. A firm can have thousands of claimants, experienced reviewers, and solid intake processes and still lack a clear picture of what the docket is actually worth, where the documentation gaps are, and which cases need attention before something critical changes. That is not a failure of effort. It is what happens when the tools were built for individual case review rather than large-scale inventory management.
The mass tort context makes this harder than it looks from the outside. These are not acute event cases. Claimants may have been exposed to a product or environmental harm ten, twenty, or more years before filing. The medical records span years or decades. The exposure evidence comes in different forms depending on the litigation. And the criteria by which firms evaluate cases are not fixed. They shift as the science develops, as MDL courts weigh in, and as settlement frameworks begin to take shape.
With 158 pending multidistrict litigations as of January 2026 according to the JPML, and product liability MDLs comprising roughly 40% of that caseload, the volume of cases moving under shifting criteria is substantial and growing.
That last point is where the cost of manual review becomes most visible.
When litigation criteria change, firms relying exclusively on labor face a decision that most would rather not make: re-review the inventory at significant cost and time, or proceed with findings that no longer reflect the current state of the litigation.
In practice, many firms do neither. They hold their original findings, adjust where they can, and absorb the risk of going into a later stage of litigation with incomplete or outdated information about their own docket.
Pattern Data founder Matt Francis addressed this dynamic in a recent conversation on The LegalTech Fund's InStudio podcast with Gordon Crenshaw. Firms using labor-only models, he explained, often stopped re-evaluating cases mid-litigation not because they lacked interest, but because the cost and time of rework made it impossible to justify. The result was a docket that looked organized from the outside but lacked the depth of structured data needed to make confident decisions as the litigation progressed.
That gap compounds over time.
The rework issue is made harder by how most firms store and manage their data. Intake lives in one system. Medical records get reviewed manually or through outsourced vendors. Case data ends up in CRMs, spreadsheets, and shared drives that were never designed to work together. When it is time to report across the docket, prepare for settlement, or answer a partner's question about inventory composition, someone has to pull it all together manually.
That process takes time that most litigation teams do not have. And the output, once assembled, is already out of date.
The firms with the clearest view of their inventories are not the ones with the most reviewers. They are the ones whose review process produces structured, reusable data rather than static work product.
When cases are evaluated against litigation-specific criteria and stored as structured data, a criteria change does not require starting over. The logic gets reapplied across the existing inventory. Reporting becomes available at any point in the lifecycle. Partners can see tier distribution, documentation gaps, and development priorities without waiting for someone to manually compile the numbers.
That visibility changes how decisions get made. Development work gets prioritized by impact rather than proximity. Settlement preparation starts from a position of clarity rather than catch-up. And when timelines compress, as they always do in the final stages of a settlement program, the firm is not scrambling to understand what it has.
If litigation criteria changed tomorrow, how long would it take your team to understand the impact across your full inventory?
For firms whose answer is days or weeks, that is the operational gap worth examining. The cases are there. The records exist. The question is whether the data structure underneath them is built to support the decisions ahead.
What is mass tort case management software?
Mass tort case management software is a class of legal technology built to manage thousands of related claims across a single litigation rather than individual cases one at a time. It produces docket-level reporting, applies litigation-specific criteria across the full inventory, and generates settlement-ready work product from structured case data. It differs from standard legal practice management software because the unit of analysis is the inventory itself rather than the individual case file.
Why is manual review expensive even when labor costs look fixed?
The hidden cost of manual review in mass tort dockets is rework. When MDL criteria shift, settlement frameworks land, or new evidence develops, firms relying on labor face a choice between expensive re-reviews and proceeding with outdated findings. Most firms quietly choose the second option, which compounds risk into later stages of litigation. Structured data eliminates that tradeoff because criteria changes become a re-query rather than a re-review.
How does structured case data change settlement preparation?
Structured case data carries forward through the litigation lifecycle. Each case is evaluated, scored, and verified once, with the results stored in a queryable format that survives criteria changes and team turnover. By the time a settlement framework arrives, the firm already knows which cases qualify, at what tier, and with what documentation gaps, so settlement packet generation becomes a downstream output rather than an upstream scramble.