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Intelligent Automation of Legal Filings with Generative AI and RAG

Case No.
CS—005
Sector
Legal
Scope
Conversational Agent · Content Generation · Automation
Stack
RAG · JusBrasil API · Vector Database · LLM
-70%
reduction in drafting time
40 min
average time per petition
01 / The Challenge

The firm faced operational bottlenecks: lawyers were spending up to 4 hours manually drafting filings and contracts. Manual case law searches and updates consumed time that should have gone to strategic analysis, and the lack of standardization produced inconsistent document quality and legal risk.

”— FIELD NOTE
“Excess manual work on legal documents was blocking the firm's strategic growth.”
02 / The Solution

We structured a vector knowledge base from historical contracts, filings, and appeals, integrated with case law databases through an API for automatic referencing. A conversational agent lets lawyers request documents, adjust clauses, and refine text in real time through chat, with a feedback loop that continuously improves the next generations.

S.1
Structuring the Knowledge Base
Ingestion of contracts, petitions, and historical appeals into a vector database.
S.2
External Data Integration
API connection with legal databases for automatic jurisprudence referencing.
S.3
Conversational Agent Development
Chat interface for requesting documents and adjusting clauses in real-time.
S.4
Feedback Loop and Fine-tuning
Reviews by lawyers feed back into and improve future document generations.
Want a project like this one?
Request a Diagnostic →Talk to a Specialist
← All casesCS—005 · RESULTS DOSSIER

Intelligent Automation of Legal Filings with Generative AI and RAG

Case No.
CS—005
Sector
Legal
Scope
Conversational Agent · Content Generation · Automation
Stack
RAG · JusBrasil API · Vector Database · LLM
-70%
reduction in drafting time
40 min
average time per petition
01 / The Challenge

The firm faced operational bottlenecks: lawyers were spending up to 4 hours manually drafting filings and contracts. Manual case law searches and updates consumed time that should have gone to strategic analysis, and the lack of standardization produced inconsistent document quality and legal risk.

”— FIELD NOTE
“Excess manual work on legal documents was blocking the firm's strategic growth.”
02 / The Solution

We structured a vector knowledge base from historical contracts, filings, and appeals, integrated with case law databases through an API for automatic referencing. A conversational agent lets lawyers request documents, adjust clauses, and refine text in real time through chat, with a feedback loop that continuously improves the next generations.

S.1
Structuring the Knowledge Base
Ingestion of contracts, petitions, and historical appeals into a vector database.
S.2
External Data Integration
API connection with legal databases for automatic jurisprudence referencing.
S.3
Conversational Agent Development
Chat interface for requesting documents and adjusting clauses in real-time.
S.4
Feedback Loop and Fine-tuning
Reviews by lawyers feed back into and improve future document generations.
Want a project like this one?
Request a Diagnostic →Talk to a Specialist