GammaLex

||

GammaLex is the first AI platform purpose-built for malpractice to unite medical and legal data into one predictive engine.

One Core AI.
Every Malpractice Claim Answer.
For Everyone.

Scroll to explore

What the Medical Malpractice System Overlooks, and What GammaLex Solves

⚠️

The Problem

Today's medical malpractice ecosystem is reactive, fragmented, and slow—failing both patients and professionals. Here's what's missing:

🧠

1. No Early Visibility for Patients

Most people harmed by medical errors don't know they may have a case. There's no fast or accessible way to check claim viability—so many walk away without justice.

See GammaLex Solution
✓

GammaLex Solution

A consumer-facing claim checker powered by explainable AI and medical-language understanding.

Back to problem
🏥

2. Enterprises Fly Blind on Risk

Hospitals and insurers can't spot risk early—even though the signals are already in their EMR, billing, or patient feedback data. Risk managers remain reactive instead of predictive.

See GammaLex Solution
✓

GammaLex Solution

Predictive risk scoring for enterprise clients, integrated with their data sources—before a claim is filed.

Back to problem
⚖️

3. Expert Reviews Are a Bottleneck

Lawyers wait weeks or months for expert reviews of complex records. This slows down justice, adds cost, and causes case delays.

See GammaLex Solution
✓

GammaLex Solution

AI-assisted expert triage and record review to accelerate legal evaluations without sacrificing insight.

Back to problem
🔗

4. No Shared Platform for All Stakeholders

Patients, lawyers, and enterprises operate in silos—each with incomplete data. There's no shared, real-time system that connects them with context.

See GammaLex Solution
✓

GammaLex Solution

A unified legal-medical AI platform for consumers, legal teams, and enterprise partners.

Back to problem
🧬

5. Generic Tools Can't Handle Complex Specialties

Most legal tech ignores high-risk specialties like neurosurgery or OB/GYN. These fields require expert-tailored AI trained on specialty-specific precedent and language.

See GammaLex Solution
✓

GammaLex Solution

Specialty-trained models for neurosurgery and other high-risk domains—built with real clinical and legal context.

Back to problem
💰

6. Inconsistent Case Valuation Standards

Case valuations vary widely between regions and practitioners, leading to unpredictable settlements and outcomes. Patients with similar cases receive dramatically different compensation.

See GammaLex Solution
✓

GammaLex Solution

Data-driven case valuation tools that analyze thousands of precedents to provide consistent, fair, and transparent settlement estimates.

Back to problem

GammaLex is building the first AI platform that bridges law, medicine, and technology to bring transparency, speed, and fairness to medical malpractice.

Book a Demo

Why It Matters: The Data Behind the Crisis

Medical malpractice is a multi-billion-dollar problem affecting doctors, patients, and insurers. Here's why GammaLex exists.

Preventable Deaths/Year
BMJ, 2016
View Source
x
More Claims Denied Without Supportive Data
NBER, 2020
View Source
1 in 3
Doctors will be sued in their career
AMA, 2022
View Source
%
of a physician's career is spent dealing with claims
PMC, 2019
View Source
$
High-value claims often exceed this amount
JAMA, 2017 • ~$1.06M today
View Source
%
of trial verdicts favor physicians
AMA, 2022
View Source
%
of paid claims involve diagnostic errors
JAMA, 2017
View Source
$
Payout per neurosurgery malpractice claim
PMC, 2021 • ~$556K today
View Source
$
Avg. Settlement per OB/GYN malpractice claim
JAMA HF, 2023 • ~$517K today
View Source
$
Malpractice payout totals per year across specialties
AJHE, 2020 • ~$1.06B today
View Source

📊 Average Medical Malpractice Settlement Amounts by Specialty (2014–2024)

Sources:
  1. Brown & Barron, LLC. How Much is the Average Compensation for a Medical Malpractice Case?
  2. Physicians Thrive – Malpractice Insurance Payouts
  3. National Practitioner Data Bank (NPDB), U.S. Department of Health and Human Services. npdb.hrsa.gov

📈 U.S. Medical Malpractice Claims and Payouts (2015–2024, Adjusted to 2025 Dollars)

Key Insights
  • Average Payout per Claim: ~$420,000 (2023)
  • High-Value Claims: 1,300 claims > $1M payout (2023)
  • Birth Injuries: ~$1.03M avg. settlement
  • Emergency Room Malpractice: ~$330,000 avg. payout
  • Cardiologist Malpractice: $300,000–$380,000 avg. settlement
Sources:
  1. National Practitioner Data Bank (NPDB): npdb.hrsa.gov
  2. Forbes Advisor: forbes.com

Turning Crisis Into Clarity: How GammaLex Works

After decades of fragmented records, costly litigation, and denied claims, the future of malpractice intelligence is here. GammaLex transforms the chaos into clarity in four intelligent steps.

STEP 1

Ingest

Multimodal ingestion of medical & legal records — structured + unstructured data.

STEP 2

Diagnose

AI pinpoints key liability, causation, and damage indicators using predictive modeling.

STEP 3

Predict

Case viability, risk scoring, and potential outcome pathways generated instantly.

STEP 4

Empower

Insights shared securely with stakeholders — from consumers to legal experts.

The Engine That Makes Clarity Possible

GammaLex One Core AI brings prediction and transparency to every step of the malpractice journey — earning trust across the entire system.

AssistEmpowers patients and families with instant claim insights, compensation guidance, and legal clarity.
CounselSupercharges legal teams with AI-driven case analysis, drafting, and outcome prediction.
EdgeTransforms risk management for organizations with predictive analytics, triage, and portfolio intelligence.
Behind the Brain

The Future of Law and Medicine Starts Here.

Join forward-thinking organizations using GammaLex AI to stay ahead of malpractice risk.