Case Study: Morgan & Morgan achieves a $2B boost in client earnings with A.Team

A A.Team Case Study

Preview of the Morgan & Morgan Case Study

How Morgan & Morgan boosted earnings by $2B with genAI document processing

Morgan & Morgan, a 7,000+ lawyer firm and the largest in the country, faced a seismic digital challenge: modernize claim management, make case-valuation data actionable, and upgrade knowledge management while moving faster than traditional hiring cycles would allow. They engaged A.Team to supply flexible, agile product-building teams and genAI/document-processing expertise to accelerate transformation without long ramp-ups.

A.Team embedded deep learning, ML, NLP and full-stack product builders under Morgan & Morgan’s CTO to deliver a client portal, a machine-learning case valuation model, a centralized knowledge platform, and automated document classification, summarization and entity extraction pipelines. A.Team’s solution processed 100 million documents across 27 categories at 98.7% accuracy, helped lift earnings won for clients from $13B to $15B (a $2B increase) in under three years, supported 70K cases in one year, and significantly reduced case processing time and client inquiries.


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Morgan & Morgan

Yahth I.

Chief Transformation Officer


A.Team

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