C
Casetext
AI technology aiming to help increase litigator efficiency
About Casetext
Casetext is a legal technology startup that aims to revolutionize the way legal professionals conduct research and prepare legal documents. The company operates primarily in the legal services market, providing tools that streamline and automate various aspects of legal research and document preparation. Casetext serves a wide range of clients, including law firms, corporate legal departments, and individual legal practitioners.
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The core offering of Casetext is its comprehensive legal research platform, which provides access to a vast database of legal documents, including cases, statutes, rules, and briefs from all 50 states and federal jurisdictions. One of the standout features of Casetext is its advanced A.I. search capabilities, which help users find relevant legal authorities quickly and efficiently. This is particularly beneficial for legal professionals who need to conduct thorough research in a short amount of time.
In addition to its research tools, Casetext offers "Compose," a brief automation tool designed to simplify the process of drafting legal briefs. This tool leverages automation to handle repetitive tasks, allowing legal professionals to focus on more complex aspects of their work. The platform also includes features like annotations and treatment flags, which help users understand the nuances of the law more easily.
Casetext operates on a subscription-based business model, charging users a monthly fee of $65 per user when paid annually. This pricing structure is designed to be competitive with other major legal research platforms like Lexis and Westlaw, but at a more affordable rate. The company also offers a 14-day free trial, allowing potential clients to test the platform before committing to a subscription.
In summary, Casetext is a comprehensive legal research and automation platform that aims to make legal work more efficient and accessible. By leveraging advanced A.I. and automation tools, the company provides a cost-effective alternative to traditional legal research services.
At a glance
- Status
- Acquired
- Founded
- 2013
- Headquarters
- San Francisco, United States
- Employees
- 33
- Open positions
- None listed
- Dealroom signal
- 63.1/100
- Industry
- Legal
- Sub-industry
- Legal Documents Management
- Sector
- AI, Law Enforcement, Publishing, Publisher Tools, Core AI, Legal Research Software, Legal Tech, Generative AI, genAI Applications, Hard Tech, YC S13, DT and LS
- Business model
- SaaS
Knowledge graph
More headlines
Funding history
Company financing events and reported valuations.
| Deal type | Date | Amount | Valuation | Investors | Source |
|---|---|---|---|---|---|
| ACQUISITIONOther financing | Jun 2023 | $650M | $650M | Thomson Reuters | ↗ |
| LATE VCOther financing | Jan 2022 | $25M | $100M | Undisclosed | — |
Growth signals
Latest recorded traffic for Casetext is 54K monthly website visits, up 28.6% over the last three months. Casetext's team declined 70.5% over the past year.
Similar companies
Company identity and context are open; selected comparison metrics preview what is available on the platform.
Investments and acquisitions
Recent portfolio relationships for companies that also act as investors or acquirers.
Investors
From Dealroom's funding and investor records, grouped by the round each investor first entered.
Seed16 investors entered at this stage
Kevin Moore
Y Combinator
Susa Ventures
Red Sea Ventures
Wefunder
Darian Shirazi
Rob Emrich
Paul Buchheit
Ben Davenport
David Beyer
Avichal Garg
SV Angel
BoxGroup
Charlie Cheever
Techammer
Crosslink Capital
Series A6 investors entered at this stage
Union Square Ventures
Formation 8
Ilya Sukhar- TGThomas Glocer
Canvas Ventures
8VC
Series B and later2 investors entered at this stage
Bridge Investments
Touchdown Ventures
Other known investors1 additional known investor
Thomson Reuters
Source: Dealroom Talent Intelligence.
Global footprint
team presence
Market sentiment
An AI-synthesised read of the highest-engagement posts about Casetext on X, ranked by likes and reposts, corporate channels excluded.
Reading the room on X — pulling top posts and synthesizing themes…
Source: X recent search ranked by engagement (likes + retweets) · Synthesis by Claude · Cached for 1 hour
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