Vendor-reported figures — source: legal.thomsonreuters.com
Zarwin Baum, a Philadelphia-based litigation firm with over 60 years of experience and offices across Pennsylvania, New Jersey, and Delaware, faced a compounding efficiency problem endemic to plaintiff-side litigation: attorneys were spending entire workdays manually reviewing thousands of pages of medical records and discovery documents. Case evaluations that required synthesizing voluminous records — a prerequisite for settlement negotiations and litigation strategy — routinely took close to a week. In a profession where billable time and client responsiveness are competitive differentiators, this administrative burden delayed decisions, strained client relationships, and left the firm vulnerable to better-resourced defense teams moving faster.
Zarwin Baum adopted Thomson Reuters CoCounsel Legal, a generative AI platform built on large language models and designed specifically for the legal profession's strict confidentiality requirements. The firm integrated CoCounsel with their existing Westlaw subscription and document management system, ensuring attorneys could work within familiar workflows rather than switching between tools. Onboarding was supported by a dedicated Thomson Reuters implementation team. Attorneys were trained to use CoCounsel across a range of tasks: medical record review, discovery document analysis, case summarization, settlement budget preparation, and legal research. The closed, secure architecture — with data processed inside Thomson Reuters' controlled environment — addressed firm leadership's data security concerns and was central to achieving firm-wide buy-in.
The efficiency gains were immediate and substantial. Medical records review dropped from a full day to 20–30 minutes per matter, and discovery case evaluations that previously required nearly a week were completed within hours. Beyond raw speed:
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