REPOGEO REPORT · LITE

Liquid-Legal-Institute/Legal-Text-Analytics

Default branch main · commit 1debe1b6 · scanned 6/7/2026, 4:38:05 PM

GitHub: 721 stars · 137 forks

AI VISIBILITY SCORE

22 /100

Critical

Category recall

0 / 2

Not recommended in any query

Rule findings

1 pass · 1 warn · 0 fail

Objective metadata checks

AI knows your name

1 / 3

Direct prompts that named your repo

HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface Liquid-Legal-Institute/Legal-Text-Analytics, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION

highreadme#1

Reposition the README's opening sentence to emphasize its 'curated list' nature

Why:

CURRENT

A list of selected resources, methods, and tools dedicated to Legal Text Analytics.

COPY-PASTE FIX

This repository serves as a comprehensive, curated list of selected resources, methods, and tools dedicated to Legal Text Analytics. It is designed as a central hub for legal professionals, researchers, and legal tech developers seeking to explore and apply text analytics in the legal domain.

mediumtopics#2
Add more specific topics to clarify the repository's type as a curated list/hub
Why:
CURRENT
```
legal, legal-text-analytics, nlp
```
COPY-PASTE FIX
```
legal, legal-text-analytics, nlp, awesome-list, legal-tech, resources, curated-list, legal-ai
```
mediumhomepage#3
Add a homepage URL to the repository's About section
Why:
COPY-PASTE FIX
```
Set the repository's homepage URL to https://github.com/Liquid-Legal-Institute/Legal-Text-Analytics
```

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall

0 / 2

0% of queries surface Liquid-Legal-Institute/Legal-Text-Analytics

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

huggingface/transformers

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

huggingface/transformers · recommended 1×
explosion/spaCy · recommended 1×
nltk/nltk · recommended 1×
LexisNexis Context · recommended 1×
Westlaw Edge · recommended 1×

CATEGORY QUERY
Where can I find resources and tools for natural language processing of legal documents?
you: not recommended
AI recommended (in order):
1. Hugging Face Transformers Library (huggingface/transformers)
2. spaCy (explosion/spaCy)
3. NLTK (Natural Language Toolkit) (nltk/nltk)
4. LexisNexis Context
5. Westlaw Edge
6. Docassemble (jhpyle/docassemble)
AI recommended 6 alternatives but never named Liquid-Legal-Institute/Legal-Text-Analytics. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What are the best methods and libraries for automated analysis of legal texts?
you: not recommended
AI recommended (in order):
1. spaCy
2. Hugging Face Transformers
3. LegalBERT
4. CaseHOLD
5. NLTK
6. Scikit-learn
7. Doccano
8. Prodigy
9. Apache Solr
10. Elasticsearch
11. LexisNexis InterAction
12. Thomson Reuters Legal Tracker
AI recommended 12 alternatives but never named Liquid-Legal-Institute/Legal-Text-Analytics. This is the gap to close.
Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

Metadata completeness
warn
Suggestion:
README presence
pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

Compared to common alternatives in this category, what is the core differentiator of Liquid-Legal-Institute/Legal-Text-Analytics?
pass
AI did not name Liquid-Legal-Institute/Legal-Text-Analytics — likely talking about a different project
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts Liquid-Legal-Institute/Legal-Text-Analytics in production, what risks or prerequisites should they evaluate first?
pass
AI named Liquid-Legal-Institute/Legal-Text-Analytics explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
In one sentence, what problem does the repo Liquid-Legal-Institute/Legal-Text-Analytics solve, and who is the primary audience?
pass
AI did not name Liquid-Legal-Institute/Legal-Text-Analytics — likely talking about a different project
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

Drop this badge into the README of Liquid-Legal-Institute/Legal-Text-Analytics. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)

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Liquid-Legal-Institute/Legal-Text-Analytics — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

Deep reports10 / month
Brand-free category queries5 vs 2 in Lite
Prioritized action items8 vs 3 in Lite