Resources

How Will Adams builds systems that power high-stakes litigation

Ashley Grodnitzky — Thu, 02 Apr 2026 10:55:54 GMT

By the time a litigation manager pulls a docket report or a firm team checks case completeness, the hardest work is already done. Someone had to take terabytes of inconsistent, unstructured medical and legal documents and turn them into something accurate, organized, and queryable. That’s Will Adams’ job. When he does it well, nobody thinks about it at all.

Roundup settlement preparation and the operational demands facing plaintiff firms

Noah Garrett — Mon, 09 Mar 2026 18:02:35 GMT

The Roundup litigation is entering a phase where operational readiness will shape how plaintiff firms participate in potential settlement programs.

Pattern Labs: Beyond manual tuning with Genetic Prompt Optimization

Raj Patel — Mon, 09 Mar 2026 18:01:33 GMT

This post is part of Pattern Labs, our research initiative focused on translating real-world experimentation into defensible, production-ready workflows for mass tort litigation.

Mass tort workflows run on instructions. Every extraction, confirmation of product exposure, identification of a diagnosis date, and verification of litigation criteria is driven by the prompts that tell the system what to look for and how to respond.

Social Media Lawsuits are moving into bellwether trials. What law firms should understand now.

Ashley Grodnitzky — Tue, 03 Feb 2026 22:08:22 GMT

Social Media litigation is entering a more defined procedural phase. Public reporting confirms that the first bellwether trials focused on youth mental health claims are moving forward, even as some defendants have chosen to settle out early.

How Ryan Schmitt turns inconsistent records into defensible AI

Ashley Grodnitzky — Tue, 27 Jan 2026 14:28:30 GMT

Applying a scientific approach to translate messy medical records into defensible criteria

Ryan Schmitt’s path to Pattern began with a realization that reshaped his career plans. While completing his degree in neuroscience and preparing for graduate school, he began experimenting with early large language models and quickly recognized their potential to change how complex information is processed.

How Kylee Blatchford applies clinical judgment to medical record analysis

Ashley Grodnitzky — Wed, 21 Jan 2026 14:22:12 GMT

Kylee Blatchford learned early in her career that medical records rarely tell a clean story.

Improving document segmentation to preserve medical record context at scale

Ashley Grodnitzky — Wed, 14 Jan 2026 15:55:09 GMT

This post is part of Pattern Labs, our research initiative focused on translating real-world experimentation into defensible, production-ready workflows for mass tort litigation.

The Art of Clarity in AI with Misha Kharkovski

Ashley Grodnitzky — Wed, 03 Dec 2025 17:21:25 GMT

When you talk to Misha, one of Pattern’s AI analysts, one word comes up often: clarity.

How Beasley Allen Accelerates Case Workup with Pattern Data’s Expert AI

Ashley Grodnitzky — Thu, 13 Nov 2025 13:00:00 GMT

“Pattern Data has seriously changed how we do case workup… we get through so many more cases, faster.”

MTMP Takeaways: The Challenge Isn’t Strategy. It’s Consistency.

Ashley Grodnitzky — Thu, 13 Nov 2025 04:37:08 GMT

The Pattern team attended MTMP Fall 2025 last month, connecting with firms, partners, and platform builders both familiar and new. Across sessions and booth conversations, one topic kept surfacing: how firms manage the daily work of building complete, consistent case files. Our Chief Product Officer, James Nix, joined a panel on AI in legal workflows that focused on what firms are using today and where gaps still remain.

Across the docket, the operational pressure was hard to miss.