Anti-bot & CAPTCHA handling
Court portals block automated access by design. We built an in-house ML audio-CAPTCHA solver and parallel headless-browser farms that keep extraction running without paid third-party CAPTCHA services.
Legal Tech Data Intelligence
Legal tech data, extracted at scale.
CragSoftware builds the data backbone for legal tech platforms — turning court filings, case records, and legal documents into structured, queryable datasets, even behind CAPTCHAs and anti-bot defenses.
23M+Court cases scraped
4Courts covered
30+E-filing tables processed daily
1 monthTypical large-scale delivery
— Proven at scale
Case studies in production.
01Data engineering · Legal · PropTech
Connecticut Foreclosure Intelligence
B2B platform that turns Connecticut judicial e-filing data into actionable foreclosure intelligence — web app, Excel reports, and a production-grade Python ETL pipeline.
View case study02Data engineering · Legal
Judicial Scraper
Large-scale extraction of Brazilian court records — 23 million cases from four courts, built for a LegalTech AI platform.
View case study— Why legal tech teams choose us
Built for how court data actually works.
Document & PDF processing
OCR, entity extraction, and equity/clause extraction from filings, rulings, and case documents — structured and ready for your AI stack or case-management system.
Production reliability
Real-time checkpointing, QA audit trails, and scheduled runs so a blocked session or a court portal change never wipes hours of progress.
Built for legal workflows
We understand procedural status priority, forensic business-day calendars, and jurisdiction-specific rules — not just generic scraping.
— How we work01 02 03 04
From source audit to production pipeline.
Source audit
We map each court portal's pagination, CAPTCHAs, rate limits, and document formats before writing a line of code.
Pilot extraction
A narrow slice in production-like conditions so you validate data quality and coverage early.
Scale & harden
Parallel workers, checkpointing, and monitoring so extraction runs reliably across millions of records.
Deliver & operate
Structured data lands in your database, warehouse, or AI pipeline — with ongoing maintenance as portals change.
— FAQ
Questions legal tech teams ask.
Is scraping public court records legal?
Court records and e-filing data are public by design. We build extraction pipelines that respect each portal's access rules and jurisdiction-specific constraints.
Can you handle CAPTCHA-protected court portals?
Yes — including audio CAPTCHAs. We've built in-house ML solvers (no paid third-party CAPTCHA APIs) and combine them with proxy rotation and headless browser automation.
Do you sign NDAs and handle sensitive legal data securely?
Yes. Legal data pipelines typically involve NDAs, access controls, and audit trails — we scope security requirements before any data starts moving.
Is this a one-time extraction or can you run ongoing monitoring?
Both. We've delivered one-month, one-off extractions of 23M+ records, and we also run daily production pipelines that keep case data continuously current.
What do you deliver — raw data or a usable system?
Structured databases (SQLite/PostgreSQL), Excel reports, or a full web application with filters and role-based access — scoped to how your team actually works.
Start here
Need court or legal data at scale?
Tell us which courts, jurisdictions, or document types you need — we'll scope a pilot and a realistic delivery timeline.