Pre-Packaged Private Student Loan Adversaries: A Systematized, High-ROI Litigation Model for Consumer Bankruptcy Attorneys

  • Presenter(s): Stanley Tate
  • Session Length: 60 minutes
  • Date: Apr 11, 2026
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Bankruptcy attorneys avoid private student loan adversaries not because they're unwinnable, but because the work feels unpredictable and lacks the standardized frameworks that exist for federal student loan litigation.

This session shows how to turn private student loan discharge cases into efficient, repeatable, and profitable matters by pre-packaging the case before the complaint is ever filed.

Attendees will learn how to structure intake, documentation, fact-presentation, and settlement posture in a way that addresses Brunner objections up front, makes opposing counsel's job easier, and creates a clear runway to resolution.

The session also briefly explores how to spot PSL adversary opportunities in prior client files, including reopening cases under Rule 4007(b) when appropriate.

Attorneys will leave with a workflow they can implement immediately, including a realistic time-commitment model and pricing considerations.

description

Bankruptcy attorneys avoid private student loan adversaries not because they're unwinnable, but because the work feels unpredictable and lacks the standardized frameworks that exist for federal student loan litigation.

This session shows how to turn private student loan discharge cases into efficient, repeatable, and profitable matters by pre-packaging the case before the complaint is ever filed.

Attendees will learn how to structure intake, documentation, fact-presentation, and settlement posture in a way that addresses Brunner objections up front, makes opposing counsel's job easier, and creates a clear runway to resolution.

The session also briefly explores how to spot PSL adversary opportunities in prior client files, including reopening cases under Rule 4007(b) when appropriate.

Attorneys will leave with a workflow they can implement immediately, including a realistic time-commitment model and pricing considerations.

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