Making Rain with AI

Aug 7, 2025

Join John Quinn as he chats with Mohammed Rashik, Founder and CEO of Rain Intelligence and former attorney. Discover how Mohammed’s frustrations as a new lawyer inspired the creation of a data-driven tool that helps identify emerging legal needs. He shares fascinating insights about how real-world events can predict legal issues and explains Rain's innovative approach to delivering personalized daily reports to lawyers. Mohammed also discusses the importance of marrying diverse data sources to uncover hidden legal opportunities.

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ANECDOTE

Fire Led To A Client Opportunity

Mohammed Rashik discovered a warehouse fire likely spread from a neighboring railroad parcel with prior fire-hazard citations.
He used that insight to approach the warehouse owners and secured their engagement to pursue liability claims.

INSIGHT

Legal Needs Follow Predictable Patterns

Legal needs follow predictable patterns triggered by real-world events and signals.
By extrapolating those patterns across many data sources you can proactively predict legal opportunities at scale.

ADVICE

Deliver Insights As Daily Reports

Send personalized daily reports to attorneys instead of expecting them to learn a new tool.
Make insights arrive like familiar email updates so attorneys act without major behavior change.

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John Quinn is joined by Mohammed Rashik, Founder and CEO of Rain Intelligence, a legal technology company that helps lawyers identify emerging legal needs and find potential clients—to make rain. Rain Intelligence provides AI-powered analysis of data from social media, government filings, e-commerce platforms, and other sources to detect patterns and events that could signal potential class action cases, regulatory issues, or other complex litigation opportunities. The goal is to make business development for lawyers more systematic and data-driven than more traditional, reactive methods.

The idea for Rain Intelligence was born from Mohammed’s frustration with the lack of tools to help generate clients when starting a solo practice. He began identifying legal issues proactively—such as discovering that a warehouse fire had likely been caused by a neighboring property’s code violations—and found this approach led naturally to client engagement. The core insight was that legal needs often follow predictable patterns triggered by real-world events, and those patterns can be identified and scaled using data science.

Rain Intelligence delivers daily personalized reports tailored to each attorney’s practice areas, clients, and litigation history. These updates synthesize signals from a wide range of data pipelines—such as product labels, product recalls, consumer complaints, Substack articles, government announcements, and class action advertising—to identify high-potential legal opportunities. The opportunities are analyzed to assess the prospects for proving liability, the amount of damages, and the collectability of judgments. The service is subscription-based and is currently used by roughly half of the Am Law Top 10 firms and 20% of the top 200.

Mohammed explains how Rain Intelligence pieces together disparate data sets to uncover legal risks that may not be obvious in isolation. For example, labeling a food item “preservative free” while including citric acid, which regulators consider a preservative, could be the basis for a lawsuit when combined with regulatory guidance and recent litigation trends. The technology is built to integrate seamlessly into legal workflows, helping lawyers generate business by doing what they do best—spotting legal issues and advising clients.

Podcast Link: Law-disrupted.fm
Host: John B. Quinn
Producer: Alexis Hyde
Music and Editing by: Alexander Rossi