How to Use CHATGPT for TCPA Research

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    1. Build the Case Theory Fast (before you research anything)

    Prompt:

    I have a potential TCPA case. Here are the facts. Identify the strongest TCPA theories (call vs text, prerecorded voice, DNC, revocation, ATDS issues, willfulness), and list the missing facts I need.

    Then paste:

    • call/text logs

    • client narrative

    • number(s) used

    • whether client ever gave consent

    • what the client said when they told them to stop

    What you get: a checklist of what facts matter and what doesn’t.

    2. Turn Messy Client Info into a Litigation Timeline

    Prompt:

    Convert the following into a litigation timeline with dates, phone numbers, violations, and key quotes.

    Paste client intake notes.

    You’ll get:

    • a clean chronology

    • likely violations

    • holes you need to fill

    3. Generate a “TCPA Defendant Profile” in 60 seconds

    Prompt:

    Using this info, create a TCPA Defendant Profile including: entity name, DBA, registered agent, related entities, suspected dialer/VOIP provider, and discovery targets.

    Paste:

    • SOS lookup results

    • company website

    • privacy policy text

    • phone number lookup result

    • BBB profile

    This becomes your internal file for pleading + subpoena targeting.

    4. Use ChatGPT to Write Search Queries That Actually Work

    Prompt:

    Generate 20 PACER/CourtListener/Google search queries to find prior TCPA lawsuits involving this defendant and related entities.

    ChatGPT will produce searches like:

    • "47 U.S.C. 227" "ABC Holdings LLC"

    • "autodialer" "ABC Warranty"

    • "TCPA" "registered agent name"

    This is hugely effective.

    5. Analyze Privacy Policies & ToS Like a Shark

    Prompt:

    Review this privacy policy and terms. Identify language related to consent, autodialed/prerecorded calls, marketing partners, arbitration clause, class waiver, venue, and assignment.

    Paste the policy.

    ChatGPT will pull:

    • “marketing partners” admissions

    • arbitration/class waiver terms

    • implied consent language

    • third-party disclosure

    That becomes pleading ammunition.

    6. Identify “Marketing Partner” & Lead Generator Relationships

    Prompt:

    Based on this privacy policy language, identify the likely lead generator model and list who may be jointly liable (seller, telemarketer, affiliate marketers, lead buyers).

    Paste privacy policy excerpt.

    ChatGPT will help you frame:

    • seller/telemarketer theory

    • agency theory

    • vicarious liability

    • negligent supervision theory

    7. Draft Demand Letters / Pre-Suit Notices

    Prompt:

    Draft a pre-suit TCPA demand letter with a strong liability narrative, request for preservation, and settlement framework. Use professional but aggressive tone.

    Then provide:

    • state

    • defendant name

    • number of calls/texts

    • dates

    • DNC status

    • revocation facts

    It’ll produce a strong starting draft you can tighten.

    8. Convert Call Logs into Damages Models

    Prompt:

    Categorize these calls/texts by type of TCPA violation and estimate statutory damages under $500 / $1500 per violation.

    Paste call log list.

    You’ll get:

    • count totals

    • willful vs non-willful narrative

    • exposure ranges

    9. Prepare Draft Pleading Allegations (Complaint Framework)

    Prompt:

    Draft a federal TCPA complaint outline including jurisdiction, parties, factual allegations, class allegations, counts, and prayer for relief.

    Then add:

    • court district

    • defendant entity info

    • sample call dates/times

    • consent/revocation facts

    • DNC registry status

    ChatGPT will give you a clean structure that saves hours.

    10. Create a “Case Strategy Memo” for Each Defendant

    Prompt:

    Write a 2-page case strategy memo: strongest claims, weakest issues, likely defenses, and settlement leverage points.

    This is fantastic for planning.

    11. Evidence Preservation & Litigation Holds

    Prompt:

    Draft a litigation hold notice tailored to a TCPA defendant, including call logs, recordings, dialer platform logs, lead lists, scripts, and consent capture records.

    12. Make ChatGPT Your “TCPA Research Assistant”

    When you find a company website, paste it and say:

    Prompt:

    Act as a TCPA investigator. Extract every clue about corporate identity, contact info, affiliates, call center indicators, and marketing partners from this webpage text.

    You’ll be shocked what it catches.

    13. Company Research for Viability

    Prompt:

    Analyze this company as a potential litigation defendant. Assess their ability to satisfy a judgment. Evaluate corporate structure, solvency indicators, asset visibility, insurance coverage likelihood, prior litigation history, regulatory exposure, bankruptcy risk, and any signs of undercapitalization or asset shielding. Identify collection risks and strategic considerations before filing suit.

    OR

    Assess this company’s collectability risk as a defendant. Estimate the likelihood that they could satisfy a six- or seven-figure judgment. Consider financial stability, public filings, asset ownership, insurance coverage probability, corporate layering, and prior bankruptcies or dissolved entities. Identify red flags that would make recovery difficult.

    OR

    Assume we are evaluating this company before filing suit. Tell me the top 10 warning signs that could make them judgment-proof or difficult to collect from.

    OR

    Conduct a pre-litigation viability assessment of this company. Assume we are considering filing a consumer claim. Evaluate:

    • Insurance coverage

    • Ability to satisfy a judgment

    • Corporate structure / veil issues

    • Prior litigation history

    • Regulatory exposure, regulatory complaints, or AG actions

    • Asset location and collectability

    • Bankruptcy risk

    • financial solvency

    • parent/subsidiary relationships

    • history of judgments or unpaid judgments

    • pattern of dissolving entities

    • registered agent and jurisdiction strategy

    Then provide a risk score for recovery and recommended pre-suit investigative steps.

    Best Practices (Important)

    ✅ Give ChatGPT raw material

    It’s best when you paste:

    • Privacy policy text

    • ToS

    • call logs

    • screenshots transcribed

    • defendant website text

    • entity search results

    ✅ Ask for outputs in litigation formats

    Examples:

    • “pleading-ready allegations”

    • “discovery-ready requests”

    • “demand letter language”

    • “PACER search queries”

    ✅ Use it to spot what matters legally

    It can flag:

    • revocation language problems

    • consent traps

    • arbitration/class waiver

    • agency theories

    • vendor liability routes

    My Favorite TCPA “Super Prompt” (Copy/Paste)

    Use this every time:

    You are my TCPA litigation assistant.
    Analyze the following case facts and produce:
    (1) strongest TCPA theories and causes of action,
    (2) likely defenses and how to counter them,
    (3) missing facts checklist,
    (4) defendant research plan (entity, VOIP provider, prior suits, tech stack),
    (5) damages estimate ($500/$1500 per violation),
    (6) a pleading-ready factual narrative in complaint style.
    Here are the facts: [PASTE]

    That will save you hours per case.