CaseText
Legal TechSan Francisco, CA

CaseText

AI-powered legal research and brief drafting platform for lawyers.

Company Profile

CaseText is a leading provider of AI-powered legal research and brief drafting solutions, fundamentally changing how legal professionals conduct research and prepare legal documents. Their mission is to empower lawyers to conduct legal research and draft documents more efficiently and effectively through the application of advanced artificial intelligence. CaseText's flagship product, CoCounsel, is an AI legal assistant that can perform tasks like legal research, document review, deposition preparation, and contract analysis, leveraging large language models (LLMs) specifically trained on legal data. This innovation significantly reduces the time and cost associated with legal work, allowing lawyers to focus on strategic thinking and client advocacy.

The engineering culture at CaseText is characterized by a strong emphasis on innovation, particularly in the field of AI and natural language processing (NLP). Engineers and machine learning scientists work at the forefront of applying LLMs to complex legal challenges, focusing on building robust, accurate, and user-friendly AI tools. They foster a collaborative and intellectually curious environment, encouraging experimentation and continuous learning. The tech stack predominantly involves Python for AI/ML development, modern web frameworks (e.g., React, Node.js) for the frontend and backend, and cloud infrastructure (e.g., AWS, GCP) for scalability and data processing. A significant portion of the engineering effort is dedicated to fine-tuning LLMs, ensuring data quality, and integrating AI capabilities seamlessly into the user experience.

CaseText has experienced significant growth and market recognition, culminating in its recent acquisition by Thomson Reuters, a major player in the legal information industry. This acquisition signals a strong validation of their technology and provides new avenues for scale and impact. What makes CaseText unique for job seekers is the opportunity to work at the cutting edge of AI, specifically with large language models, to solve real-world problems in the legal domain. It offers the best of both worlds: the innovative, fast-paced environment of a startup combined with the resources and reach of a large, established company. For engineers, product managers, and data scientists who are passionate about AI, NLP, and building transformative tools that empower legal professionals, CaseText (now part of Thomson Reuters) provides an exceptional platform. Joining CaseText means contributing to the future of legal practice, leveraging groundbreaking AI to make legal services more accessible and efficient.

Quick Facts

Founded

2013

Employees

100-250

Valuation

$100M+ total funding (acquired by Thomson Reuters)

Work Model

Hybrid

Salary Ranges
Engineer
$$130K-$200K
Product Manager
$$140K-$210K
Data Analyst
$$135K-$205K
Backed By
Insight PartnersFounders FundY CombinatorUnion Square VenturesWicklow Capital
StageSeries C
Latest Round$30M
Top Roles
Software EngineerMachine Learning EngineerProduct ManagerLegal AI SpecialistSales ExecutiveCustomer Success ManagerData Scientist
Interview Process

CaseText's interview process typically involves an initial screening, technical assessments (coding, system design), and multiple rounds of interviews with team members and leadership focusing on technical skills, problem-solving, and cultural fit. They often assess candidates' ability to think critically about legal problems and apply technology.