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AI for Every Practice Area: Specialized Legal Prompts from Tax to Immigration

AI for Every Practice Area: Specialized Legal Prompts from Tax to Immigration

πŸ“… Published: February 2026 | ⏱️ 13 min read | ✍️ Whisperit Legal Tech Team

AI isn't just for BigLaw contract review. From solo family law practitioners to in-house IP counsel, every legal specialty has tasks that AI can accelerate. This guide covers 10 practice areas with ready-to-use prompts β€” all drawn from peer-reviewed benchmarks and professional practice templates.

Whether you practice tax, immigration, employment, or estate planning, there's a prompt here that will save you time this week.


πŸ“Š Practice Areas Covered

Practice Area# of PromptsBest For
πŸ’° Tax Law3Statutory analysis, computations, outcome prediction
πŸ›‘οΈ Insurance2Coverage analysis, policy interpretation
πŸ‘” Employment3Issue spotting, non-compete review, ADA compliance
πŸ’‘ IP / Patent / Trademark3Distinctiveness analysis, patent claims, IP ownership
🏠 Real Estate2Issue spotting, lease review
πŸ‘¨β€πŸ‘©β€πŸ‘§ Family Law2Issue spotting, divorce analysis
πŸ“œ Estate Planning2Issue spotting, will/trust review
πŸ”’ Privacy & Data Protection3Policy audits, compliance checks
βš–οΈ Criminal Law2Issue spotting, element analysis
πŸ›οΈ Ethics & Professional Responsibility2Judicial ethics, MRPC compliance
🌍 Immigration2Issue identification, citizenship analysis
πŸ“¦ Regulatory / Supply Chain2Transparency audits, consumer protection

πŸ’° Tax Law

Tax law is uniquely suited to AI β€” it's statute-driven, fact-intensive, and requires step-by-step reasoning. The SARA benchmark from Johns Hopkins specifically tests AI on statutory tax reasoning.

Statutory Tax Reasoning

text
Consider the following statute and facts:

Statute: {statute_text}
Facts: {fact_pattern}
Question: {tax_question}

Apply the statute to the facts and determine the answer. Show your reasoning step by step.

πŸ’‘ Pro Tip: The key phrase is "show your reasoning step by step." Tax analysis requires tracing each element of the statute to specific facts β€” this instruction forces the AI to do exactly that.

Tax Computation

text
Based on the following statute and facts, compute the tax liability:

Statute: {statute_text}
Facts: {taxpayer_facts}

Show all calculations and cite the relevant statutory sections.

Tax Court Outcome Prediction

text
Based on the following facts from a tax court case:

{case_facts}

Predict the likely outcome. Explain your reasoning based on applicable tax law and precedent.

⚠️ Important: AI tax computations must always be verified manually. Tax code complexity means even small misinterpretations cascade into significant errors.


πŸ›‘οΈ Insurance Law

Insurance coverage disputes hinge on policy language interpretation β€” a task AI handles well when given the full text.

Coverage Analysis

text
Read the insurance policy and the insurance claim.

Policy: "{policy_text}"
Claim: "{claim_description}"

Is the claim covered under the policy?
A: Yes β€” the policy covers this claim
B: No β€” the policy excludes this claim
C: It's ambiguous β€” the policy language is unclear

Answer with analysis of the relevant policy provisions.

πŸ“‹ Template: This prompt comes from LegalBench's insurance policy interpretation task, validated with crowdsourced human judgments (138 samples). The three-way classification (Yes/No/Ambiguous) is critical β€” it forces the AI to flag genuinely unclear situations rather than picking a side.


πŸ‘” Employment Law

Employment Issue Spotting

text
Read the following description of a workplace situation:

"{situation_description}"

Does this raise employment law issues? If yes, identify:
1. The specific area (discrimination, wage/hour, wrongful termination, harassment, ADA, FMLA, etc.)
2. The relevant legal standard
3. Key facts supporting or undermining a potential claim

Non-Compete Clause Analysis

text
Review the following non-compete clause:

"{clause_text}"

Analyze:
1. Geographic scope
2. Duration
3. Scope of restricted activities
4. Whether it includes non-solicitation of customers/employees
5. Enforceability assessment under {jurisdiction} law
6. Key risks for the employer and the employee

ADA Compliance Check

text
Review the following contract clause:

"{clause_text}"

Does this clause discuss compliance with the Americans with Disabilities Act (ADA)?
Answer Yes or No.

πŸ’‘ Pro Tip: Non-compete enforceability varies wildly by state. Always specify the jurisdiction β€” California essentially bans them, while Florida broadly enforces them.


πŸ’‘ IP / Patent / Trademark

Trademark Distinctiveness (Abercrombie Spectrum)

text
Classify the following trademark on the Abercrombie spectrum of distinctiveness:

Mark: "{mark_name}"
Product/Service: "{product_or_service}"

Categories (weakest to strongest):
1. Generic β€” common name for the product (not protectable)
2. Descriptive β€” describes a quality (protectable only with secondary meaning)
3. Suggestive β€” suggests but doesn't describe (inherently protectable)
4. Arbitrary β€” real word, no connection to product (strong protection)
5. Fanciful β€” invented word (strongest protection)

Classification and reasoning:

Patent Claim Interpretation

text
Analyze the following patent claim:

Claim: "{claim_text}"

1. Identify the preamble, transitional phrase, and body
2. List each claim limitation
3. Determine if independent or dependent claim
4. Identify claim type (apparatus, method, composition, system)
5. Assess scope β€” broad or narrow? Key limiting elements?

Prior art context: {prior_art_summary}

IP Ownership in Contracts

text
Review the following contract provision:

"{provision_text}"

Does this provision address IP ownership or assignment?
If yes:
- Who owns the foreground IP?
- Who owns the background IP?
- Are there any license-back provisions?
- Is assignment of future IP included?

🏠 Real Estate

Real Estate Issue Spotting

text
Read the following description of a housing or property situation:

"{situation_description}"

Does this raise legal issues related to housing or real estate law?
If yes, identify the specific area: landlord-tenant, property title, zoning, HOA, fair housing, foreclosure, etc.

Commercial Lease Review

text
Review the following commercial lease clause:

"{clause_text}"

Identify:
1. Rent escalation provisions
2. Maintenance/repair obligations (landlord vs. tenant)
3. Assignment/subletting restrictions
4. Termination conditions
5. Force majeure provisions
6. Insurance requirements

Risk assessment for tenant:

πŸ‘¨β€πŸ‘©β€πŸ‘§ Family Law

Family Law Issue Spotting

text
Read the following situation:

"{situation_description}"

Does this raise family law issues?
If yes, identify: divorce, child custody, child support, adoption, domestic violence, prenuptial agreements, etc.

Divorce Issue Analysis

text
Read the following description of a divorce situation:

"{situation_description}"

Identify the key legal issues: property division, spousal support, child custody, child support, debt allocation.

For each issue, briefly state the applicable legal standard in {jurisdiction}.

πŸ“‹ Template: LegalBench includes three separate family law benchmarks β€” family, divorce, and domestic violence β€” reflecting the breadth of issues that arise in this practice area.


πŸ“œ Estate Planning

Estate Planning Issue Spotting

text
Read the following situation:

"{situation_description}"

Does this raise estate planning or probate issues?
If yes, identify: will contests, trust administration, beneficiary disputes, estate tax, guardianship, power of attorney, etc.

Will/Trust Review

text
You are an estate planning attorney. Review the following provisions from a {will/trust}:

"{document_excerpt}"

Identify:
1. Potential ambiguities in beneficiary designations
2. Tax efficiency issues
3. Compliance with {jurisdiction} formalities
4. Potential grounds for contest
5. Recommended amendments

πŸ”’ Privacy & Data Protection

Privacy Policy Classification

text
Read the following excerpt from a privacy policy:

"{policy_text}"

Does this text relate to {privacy_practice}?

Practices: Data Retention, Data Security, Do Not Track, First Party Collection/Use, Third Party Sharing/Collection, User Access/Edit/Deletion, User Choice/Control

Answer Yes or No.

Privacy Policy QA

text
Based on the following privacy policy excerpt:

"{policy_excerpt}"

Question: {question_about_data_practices}

Answer based solely on what the policy states.

Supply Chain Transparency Audit

text
Read the following supply chain disclosure statement:

"{disclosure_text}"

Does this disclosure meet best practices for {area}?

Areas: Accountability, Audits, Certification, Training, Verification

Answer Yes or No with supporting evidence from the text.

βš–οΈ Criminal Law

Criminal Law Issue Spotting

text
Read the following fact pattern:

"{fact_pattern}"

Does this situation raise criminal law issues?
If yes, identify:
1. The potential crimes
2. The elements of each crime
3. Available defenses
4. Key facts that support or undermine each element

Criminal Law MBE-Style Analysis

text
{fact_pattern_describing_criminal_scenario}

Under the common law / Model Penal Code, which of the following crimes is {defendant} most likely guilty of?

A: {option_a}
B: {option_b}
C: {option_c}
D: {option_d}

πŸ’‘ Pro Tip: Use the MBE format for quick knowledge-testing and training junior associates. GPT-4 scored in the 90th percentile on the Uniform Bar Exam β€” these prompts leverage that capability.


πŸ›οΈ Ethics & Professional Responsibility

Judicial Ethics Analysis

text
Based on the following scenario involving a judge:

"{scenario}"

Does this conduct comply with the judicial ethics rules?
Analyze under the applicable canons of judicial conduct.

Professional Responsibility Check

text
Analyze the following attorney conduct scenario:

"{scenario}"

Does this conduct comply with the Model Rules of Professional Conduct?
Identify the specific rules at issue and whether they have been violated.

🌍 Immigration Law

Immigration Issue Identification

text
Read the following situation described by an individual:

"{situation_description}"

Does this situation involve immigration law issues?
If yes, identify: visa status, asylum, deportation/removal, naturalization, work authorization, family-based immigration, etc.

Citizenship / Nationality Analysis

text
Based on the following facts:

{fact_pattern}

Is the individual a citizen or national of {country}? Analyze under applicable nationality law.

🌐 European / International Law

ECHR Violation Classification

text
Given the following facts from a case before the European Court of Human Rights:

{factual_paragraphs}

Which articles of the European Convention on Human Rights were violated?

Possible articles: Art. 2 (Life), Art. 3 (Torture), Art. 5 (Liberty), Art. 6 (Fair trial), Art. 8 (Private life), Art. 9 (Religion), Art. 10 (Expression), Art. 11 (Assembly), Art. 14 (Discrimination)

EU Legislation Classification

text
Given the following EU legislative document:

"{document_text}"

Assign the relevant EuroVoc concepts from the following categories: {eurovoc_categories}

🎯 How to Choose the Right Prompt for Your Practice

  1. Start with issue spotting. The LegalBench "Learned Hands" prompts cover 16 practice areas and work as a universal intake tool.
  2. Go deep with specialized prompts. Once you know the area, use the domain-specific prompts for analysis.
  3. Customize the jurisdiction. Always add your state/country to get relevant analysis.
  4. Chain prompts for complex matters. Issue spot β†’ analyze β†’ draft β†’ review.

⚠️ Important: Every practice area has its own standard of care. AI assists your analysis β€” it never replaces your professional judgment. Always verify AI output against current law.


πŸš€ One Platform for Every Practice Area β€” Whisperit

Whether you're drafting an estate plan, reviewing an employment agreement, or preparing a tax memo, Whisperit.ai gives you AI-powered document creation with voice dictation built in. Stop context-switching between tools β€” draft, dictate, and analyze in one place.

Try Whisperit for your practice β†’


Part 5 of 5 in our Legal AI Prompt Series. Start from the beginning: The Ultimate AI Prompt Library for Lawyers β†’