From Raw Text To $750m Reuters Acquisition: Comprehensive Legal Data Processing For AI Innovation
Client location
United States
Company size
51+
Industry
Legal
Partnership Duration
3 years
Key Results
750M
acquisition by Thomson Reuters
50
US states covered
10K
corporate customers
Challenge
CaseText, a pioneering legal technology company, was developing an advanced AI engine that required massive amounts of structured legal data for training.
The challenge was enormous: they needed to scrape, parse, and structure all statutes and case law from all 50 U.S. states, transforming raw legal texts without machine-readable structure into a unified, well-defined format suitable for machine learning applications.
Solution
DATA SERVICES PROVIDED:
- Data delivery
- Web scraping
- Data structuring
- Data enrichment
- IDP (Intelligent document processing)
- ETL
client priority
Absolutely amazing experience working with this team. Their developers are on-par with some of the best in Silicon Valley. They know their craft. They are fantastic communicators, and they care about doing good work. I would (and will) hire again.
Technologies
core stack
backend
Java
Python
Results & Impact
Platform Scale & Performance
Operational Transformation
Strategic Partnership Value
