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LA

NYSE · LAW

CS Disco, Inc.

Technology · Software - Application

$5.17

Up+$1.10 (+21.28%)

Updated Nov 4, 2026, 3:57 PM

SID Score

5.2/10

Composite research score

Smart Money

—

Institutional and insider signal

Market cap
556.49M
P/E ratio
-9.64
Dividend yield
0.00%
52-week range
$3.26 – $5.37
Volume
219.57K
Avg. volume
215.17K

Price performance · LAW

LAW price history

1M range · 21 trading sessions · Daily adjusted prices

Prices through Nov 3, 2026

LAW closed at $5.17 after 21 trading sessions, up 23.10% for the selected period.

Last close
$5.17
Period change
+23.10%
Period low
$4.20
Period high
$5.30
Daily close
View OHLC price history
LAW OHLC price history, latest 40 sessions
DateOpenHighLowCloseVolume
Nov 3, 2026$5.17$5.26$4.99$5.17219.57K
Nov 2, 2026$5.24$5.345$5.125$5.15233.84K
Oct 30, 2026$5.35$5.3654$5.084$5.24298.02K
Oct 29, 2026$5.22$5.355$5.11$5.30333.73K
Oct 28, 2026$5.00$5.26$5.00$5.25345.52K
Oct 27, 2026$5.02$5.07$4.91$5.04200.66K
Oct 26, 2026$5.09$5.095$4.88$5.00220.31K
Oct 23, 2026$4.90$5.105$4.82$5.07276.42K
Oct 22, 2026$4.82$4.95$4.715$4.93266.43K
Oct 21, 2026$4.69$4.82$4.62$4.79232K
Oct 20, 2026$4.52$4.685$4.51$4.67159.45K
Oct 19, 2026$4.40$4.575$4.40$4.50133.66K
Oct 16, 2026$4.74$4.74$4.42$4.44194.81K
Oct 15, 2026$4.45$4.69$4.435$4.69196.83K
Oct 14, 2026$4.30$4.40$4.275$4.40138.54K
Oct 13, 2026$4.49$4.6099$4.37$4.42173.54K
Oct 12, 2026$4.46$4.50$4.41$4.46133.67K
Oct 9, 2026$4.32$4.42$4.285$4.42157.53K
Oct 8, 2026$4.31$4.37$4.255$4.36170.25K
Oct 7, 2026$4.19$4.36$4.18$4.3087.84K
Oct 6, 2026$4.21$4.25$4.18$4.2066.34K

Latest LAW news

The latest Smart Investors Daily articles mentioning LAW.

Stock researchCompany · Overview

LAW research

Overview

Company profile and research snapshot.

Company profile

CS Disco Inc provides a cloud-native, artificial intelligence-powered legal solution that simplifies discovery, legal document review, and case management for enterprises, law firms, legal services providers, and governments. Its revenue-generating activities directly relate to the sale and support of legal solutions. It has two primary types of contractual arrangements: usage-based and subscription solutions. The usage-based revenue is derived from contracts under which customers are billed monthly based on their usage. Subscription revenue is derived from contracts where customers are contractually committed to a minimum data volume over a period of time.

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Analyst outlook

Consensus and target data currently published for this company.

Consensus
—
Average target
$24.14
Implied upside
—
Analysts
—
LAW recent ratings
DateFirmRatingTarget
Feb 26, 2026Canaccord GenuityBuy—
Jan 5, 2026JefferiesHold—
Nov 6, 2025NeedhamBuy—
May 8, 2025NeedhamBuy—
Feb 21, 2025NeedhamBuy—
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News briefing

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Yahoo · Oct 24, 2026

What Investors Got Wrong About CS Disco Before The Drop

If you had backed the bullish AI automation story at CS Disco on 1 January 2026, the actual ride has been rough. Holding CS Disco from the start of the year would have meant a 30.5% loss, including dividends. That outcome sits awkwardly beside forecasts that spoke of mid single digit annual revenue growth, a swing from heavy losses toward a 12.7% margin, and a 31.4x P/E by 2028. Which of those moving parts did the original thesis fail to account for? CS Disco is not the only name tied to this...

Yahoo · Oct 14, 2026

DISCO to Announce Third-Quarter 2026 Financial Results on November 4, 2026

AUSTIN, Texas, October 14, 2026--CS Disco, Inc. ("DISCO") (NYSE: LAW), a creator of industry-leading litigation technology, today announced that it will report its financial results for the third quarter ended September 30, 2026 before market open on Wednesday, November 4, 2026.

Yahoo · Sep 23, 2026

Legal AI’s Next Challenge Isn’t Accuracy. It’s the Bill.

AUSTIN, Texas, September 23, 2026--DISCO (NYSE: LAW), a creator of industry-leading litigation technology, today announced the findings of its annual study of legal AI trends in law firms and corporate legal departments, conducted by Ari Kaplan Advisors. The research finds that legal teams have largely settled the question of AI’s capabilities and have moved on to a harder one: what it costs, and whether anyone can predict that number in advance.

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