Agent
Discoverability

Tesea

Live court case searches

View in the ChatGPT registry
Brand
Tesea
Category
Operations
Primary Subcategory
Legal Research Engines
Integration details

Description

Search Brazilian court cases, view details and docket updates, and request document downloads within the user's authenticated workspace.

Integration type
Plugin
Verification status
Not applicable
Platform
ChatGPT
Category
Operations

The broad Category that contains the Primary Subcategory.

Primary Subcategory
Legal Research Engines

The Primary Subcategory used for this profile’s headline score.

Secondary Subcategories
None listed

Other Subcategories where the Integration is listed.

Brand
Tesea
Access
Account required
First tracked
2026-09-19
Tool count
13
Market
US
Agent DiscoverabilityChatGPT Plugin Discovery Score
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Primary Subcategory
Listed in alphabetical order
Primary Subcategory
Accords AF RechercheComing soonGet notified
Açık Silivri HavadisComing soonGet notified
Adminio LEXComing soonGet notified
Advoga IAComing soonGet notified
AI Attorney PakistanComing soonGet notified
TeseaComing soonGet notified
Tools

13 tools agents can invoke

Recommended guideHow to get your ChatGPT Plugin suggestedFollow the practical steps agents use to find, shortlist, and choose your Plugin.Read guide
FAQs

Tesea ChatGPT Plugin FAQ

How the directory, categories and Discoverability Score work.

Read the methodology
How do I improve Tesea's ChatGPT Plugin discoverability?

The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.

What are Tesea alternatives on ChatGPT?

As of 2026-11-02, Tesea competes with Accords AF Recherche, Adminio LEX, Advoga IA, AI Attorney Pakistan, AI Lawyer Kazakhstan, AI Rechtshulp, AiLexLux Legal, AL WAKEELO and 104 more in ChatGPT Legal Research Engines, ranked by public Discoverability Score.

Where is this profile measured?

This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.