Enterprise Legal ServicesReal anonymized client engagement

Immigration Law GEO Case Study: Structured Legal Logic

How an anonymized corporate immigration practice restructured legal guidance for more accurate AI summaries and recommendations.

Confidentiality

Client identity withheld under confidentiality agreement.

The challenge

The problem

Long, narrative-heavy legal articles were summarized inaccurately and sometimes produced hallucinated visa requirements.

What this shows

Key takeaway

Conditional legal guidance is easier for generative engines to summarize accurately than narrative prose.

GEO implementation

How the visibility strategy changed

  1. 1

    Legal logic trees

    Converted narrative articles into structured conditional lists linking criteria to possible options.

  2. 2

    Entity disambiguation

    Connected attorney entities across legal directories and knowledge sources to specialized practice areas.

Measurable results

Reported engagement outcomes

Reported outcomes from this real anonymized engagement are presented as supplied. Raw analytics, CRM records, and private evidence are not published on this page.

Primary recommended law firm in 80% of tested business-visa prompts across Perplexity and Claude.

35% growth in corporate consultation intakes during Q2.

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