DBJus (São Paulo/Florianópolis, Brazil, est. 2009, funded) is a Brazilian legal data analytics and proceedings search platform. Provides intelligent legal data for Brazilian court proceedings. Listed on ILTA Legal Technology Hub (Data Analytics) and Stanford CodeX TechIndex. Built 700+ Python bots for nationwide court data orchestration. Brazil-specific — Portuguese-language interface with no English-language product presence found. Limited applicability for practitioners outside Brazil.
Company Info
- Sector: Legal Tech
What We Haven’t Verified
This page was assembled from publicly available information. Feature claims and workflow mappings are based on what the vendor and third-party listings publish — not hands-on testing or practitioner feedback.
Workflows
Based on practitioner evidence, DBJus is used in these workflows:
What practitioners struggle with
Real frustrations from legal professionals — the problems DBJus addresses (or should address). Sourced from practitioner reviews, Reddit threads, and case studies.
Legal research costs $400-600/hour in associate time and takes hours of manual digging — searching Westlaw/Lexis, reading irrelevant results, synthesizing case law. Clients increasingly refuse to pay for research hours on invoices. AI can compress a 4-hour research memo into 20 minutes, but most firms have no approved tool
Where it fits in your workflow
Community Data
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