Legal Underwriting

Unlock Intelligent Funding Decisions

Juno Labs is pioneering the future of legal underwriting through our trailblazing use of AI, machine learning, and data analytics from myriad sources. Our platform delivers unprecedented insights to drive optimal funding strategies that maximize returns while limiting exposure.

How it Works

Comprehensive Data Analytics Engine

Our powerful data analytics engine is the foundation, efficiently examining a wide range of structured and unstructured data sources, including:

Law firm metrics: Win rates, settlement timing, monetary awards
Individual lawyer performance histories and skill profiles
Extensive legal precedents, case law, police reports, and jurisdiction-specific nuances
In-depth plaintiff background characteristics, histories, and financials
Insurance company policy details and historic settlement patterns
Complete medical reports, doctor notes, diagnoses, and causation analyses

By integrating all this multi-source data seamlessly, our AI models gain a 360-degree view to make precise predictions about legal case viability, expected damages, optimal funding levels, and other key metrics.

Advanced AI/ML Modeling

Our elite data science team collaborates closely with legal underwriters and domain experts to meticulously prepare raw data for machine learning using modern cloud data pipelines and workflows. We efficiently move data from databases and document repositories into Jupyter notebooks running on scalable AWS infrastructure.

Once data is processed, we employ cutting-edge machine learning algorithms and neural architectures tailored for the legal domain. Techniques like multi-task deep learning, gradient boosting machines, and probabilistic graphical models are leveraged to build robust predictive models that account for complex variables and interdependencies.

These AI models are continuously refined and updated using state-of-the-art approaches like transfer learning, active learning, and automated machine learning (AutoML). As new data becomes available, the models dynamically adapt and elevate prediction capabilities.

AI-Powered Decision Engine

At the core of our solution is a powerful AI-powered decision engine that weighs a multitude of factors based on model insights, including:

Quantified law firm underwriting track records and success rates
Effects of nuanced legal precedents within specific jurisdictions
Comprehensive medical analyses and doctor-assessed compensation likelihoods
Economic impacts of the plaintiff's financial situation and characteristics
Applicable incident location parameters and state-specific legal tendencies

The decision engine ranks and scores legal cases along multiple dimensions, providing clear visualizations about risk profiles, projected outcomes, recommended funding levels, and other key metrics.

Confidence Scoring

Crucially, our system generates precise confidence scoring to convey the degree of certainty in each prediction and decisional output. This confidence scoring accounts for factors like:

Quantity, quality, and consistency of data inputs across sources
Empirical model accuracy metrics on historical test sets
Degree of similarity to prior legal cases in the training data
Input data interpolation vs extrapolation from training distributions
Complex interdependencies and correlated factors present

With coherent confidence scoring outputs, underwriters can quickly analyze prediction reliability and determine whether additional data may be required before rendering funding decisions.

Human-AI Collaboration

While our AI decision engine is highly automated, we embrace a philosophy of empowering and enhancing human expertise through AI collaboration rather than replacement. Our models are powerful decision support aids, surfacing key insights and recommendations.

However, experienced underwriters maintain vital oversight and make final determinations by interpreting model outputs through the lens of their nuanced legal knowledge. They can accept, edit, or override AI recommendations as needed based on their professional judgment.

This human-AI collaborative approach ensures we provide maximally intelligent and prudent legal funding guidance while responsibly managing risk. By leveraging AI, underwriters can operate with enhanced speed and efficiency, remaining focused on aspects requiring true legal expertise.

Get in touch today to explore how our cutting-edge, AI-powered legal underwriting can propel your firm's profitable growth through intelligent automation and human-AI collaboration.

Let's talk