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DELPHI
Use AI to anticipate defendants' non-infringement strategies and build stronger, evidence-backed infringement positions. DELPHI analyzes patents, claim language, accused products, and prior case law to generate likely defenses — and suggested counter-arguments.
How DELPHI Helps Your Team?
Anticipate Defenses
Prepare counter-strategies earlier in the case lifecycle, improving deposition prep, claim construction, and expert assignments.
Strengthen Briefing
File better-supported infringement contentions and motions with clear, evidence-linked counter-arguments.
Scale Expertise
Junior associates can produce higher-quality drafts faster — senior counsel spend time on strategy, not first cuts.
Core Capabilities
01
Predict Non-Infringement Arguments
AI models trained on patent litigation produce likely defenses (design-around, claim construction, functionality-based, and more).
02
Suggested Counter-Arguments
For each predicted defense, DELPHI proposes evidence-mapped rebuttals and legal theory to strengthen infringement positions.
03
Cited Authority & Evidence Mapping
Each prediction links to supporting case law, claim charts, and the patent text — so you can validate and refine the AI's reasoning.
04
Explainability & Confidence Scores
See why a prediction was produced: model rationale, confidence levels, and the key inputs that drove the result.
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