NEW YORK LITIGATION SUPPORT

Is Your Opposition Ready
for the "Serious Injury" Threshold?

See how NexLaw drafts a CPLR 2106 Affirmation analyzing Insurance Law § 5102(d),
Gap in Treatment (Pommells), and Goniometer findings in under 5 minutes.

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Foley's List
Mayer LLP
Government of Western Australia
Clayton Utz
Allens
Morgan Lewis Bockius
Piper Alderman
Shearn Delamore
Sourthern Arizona Legal Aid
Will M. Helixon
K&L Gates
Foley's List
Mayer LLP
Government of Western Australia
Clayton Utz
Allens
Morgan Lewis Bockius
Piper Alderman
Shearn Delamore
Sourthern Arizona Legal Aid
Will M. Helixon
K&L Gates

What You Get With 1 Credit of Deep Research

Case Analysis: NY "Serious Injury" Affirmation & Gap in Treatment

Example Prompt: Draft an Affirmation in Opposition to a § 5102(d) Summary Judgment motion where the plaintiff has a torn meniscus and a gap in treatment explained by No-Fault termination.

Deep Research ID: 94270 | 1 Credit Used

Deep Research ID: 94270 | 1 Credit Used

6-Page

Medical Affirmation (CPLR 2106)

A fully drafted "Opposition to Summary Judgment" legal argument. Includes specific analysis on L4-L5 herniation, "Objective Medical Evidence," and counter-arguments for insurance-based gaps in treatment.

17+

NY Precedents Cited

Pinpoint citations to Pommells v. Perez and Perl v. Meher, specifically arguing that the termination of No-Fault benefits is a valid, non-medical explanation for a gap in treatment.

3

Statutes & Rules

Checks against Insurance Law § 5102(d) categories (Permanent Consequential Limitation, 90/180 Day Rule), and formats the output as a CPLR 2106 Affirmation with penalty of perjury.

7

Doctrines Verified

Verifies that the "Gap in Treatment" doctrine is Not Overturned and applies the "Conflicting Expert Testimony" rule (Toure v. Avis, 98 N.Y.2d 345) to create a triable issue of fact for the jury.

NexLaw vs Other AI Tools: Credit Efficiency

Other AI Tools

50+

Queries/Credits Needed

Multiple prompts to piece together partial analysis

VS

NexLaw Deep Research

1

Credit = 1 Prompt

6-page comprehensive report

NexLaw's AI is engineered for maximum efficiency—delivering complete analysis in a single prompt instead of requiring dozens of queries.

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Testimonials

What Litigators Say About Our Legal AI Assistant

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Will M. Helixon
Founder & Attorney, Military Law Specialist
Law Office of Will M. Helixon
US
"After 31 years in military law and 150+ jury trials, I approached NexLaw with healthy skepticism. The platform exceeded my high expectations fundamentally changing how my team approaches research and case preparation. The TrialPrep feature has become indispensable, elevating our trial readiness to new heights."

FAQ

Frequently Asked Questions

Does NexLaw understand New York "Threshold" law, or is it just general tort law?

NexLaw is engineered specifically for New York's Insurance Law § 5102(d). Unlike generic models, our engine is trained to identify the specific categories of "Serious Injury" (Permanent Consequential Limitation, 90/180 Day Rule). It understands the difference between a generic "gap in treatment" and a legally excusable gap caused by No-Fault denial (under Pommells).

Will it hallucinate citations? I need this for a Motion for Summary Judgment.

We prioritize NY Official Reports. NexLaw validates every citation against the New York State Law Reporting Bureau databases. If it drafts an opposition to a Summary Judgment motion, it prioritizes recent rulings from the First and Second Departments (where most PI cases are litigated) rather than obscure out-of-state cases that a judge would reject. That said though, we still encourage lawyers to work with NexLaw in ensuring the citation accuracy.

How is this different from using ChatGPT?

ChatGPT writes "letters." NexLaw drafts legally compliant CPLR 2106 Affirmations ready for signature.

  • Format: ChatGPT writes "letters." NexLaw drafts legally compliant CPLR 2106 Affirmations ready for signature.
  • Evidence Standards: ChatGPT defaults to federal Daubert standards. NexLaw understands New York's Frye standard for expert admissibility.
  • Medical Logic: NexLaw knows that "subjective pain" is not enough—it automatically looks for "quantitative range of motion" findings (Goniometer/AMA Guidelines) to defeat the threshold defense.

Is my client's data safe? (HIPAA/Privilege)

Yes. We are SOC 2 Type II compliant and use end-to-end encryption. For PI firms, we offer "Zero Retention" analysis. You can upload a plaintiff's medical chronology or deposition transcript, have NexLaw extract the "Serious Injury" points, and the file is immediately wiped from our inference engine. We never train our public models on your case files.

Can it help me with the "90/180 Day" category?

Yes. This is the most frequently overlooked category for saving a case. NexLaw scans your uploaded deposition transcripts and Bill of Particulars to flag evidence of "incapacitation from daily activities" for 90 of the first 180 days, giving you a secondary argument to survive Summary Judgment even if the medical evidence is contested.

Can NexLaw help attorneys find and analyze legal precedents?

Yes. NexLaw's AI-powered legal research quickly identifies relevant precedents, statutes, and rules. Every answer is citation-backed with verifiable sources, giving attorneys confidence that results are reliable and court-ready.

What makes NexLaw different from other AI tools for lawyers?

Unlike generic AI platforms, NexLaw is built exclusively for litigation and legal professionals. It combines case law research, trial prep tools, and secure document handling into one AI-end-to-end solution. With features like ChronoVault timelines and NeXa legal research, NexLaw goes beyond chat to deliver court-ready insights and workflows.

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