CS Disco, Inc (LAW) Fair Value & Analysis
Technology · US · Market cap $223M
Fair value as of: Jun 24, 2026
Analysis
CS Disco, Inc (LAW) currently trades at $3.50, while our model-based Fair Value estimate is $5.99 — implying the stock looks roughly 71.1% undervalued today. We read business quality at 95/100 (high quality), in the Technology sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: low) — always confirm before acting.
About the company
CS Disco, Inc. provides cloud-native and artificial intelligence-powered legal products for legal hold, legal request, ediscovery, legal document review, and case management in the United States and internationally. The company offers DISCO Hold which automates the manual work to comply with preservation requirements, preserve data, notify custodians, track holds with audit trail, and collect data; DISCO Request that automates response compliance for legal requests, such as service of process requests, subpoenas, and law enforcement requests; and DISCO Ediscovery which automates ediscovery process and saving legal departments from manual tasks associated with collecting, processing, enriching, searching, reviewing, analyzing, producing, and using enterprise data that is at issue in legal matters. It also provides DISCO Review, an AI-powered document review that delivers legal document reviews; and DISCO Case Builder that allows legal professionals to collaborate across teams by offe…
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How we calculate Fair Value
Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data — nothing guessed.
Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.