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Legal Reasoning System with Evidence Analysis

A legal reasoning system that combines probabilistic analysis, evidence evaluation, and legal standards to assist in case analysis and decision-making. The system models complex legal concepts including evidence reliability, witness credibility, chain of custody, and precedent application.

Challenge

Create a system that could model the complex, multi-faceted nature of legal reasoning while handling various types of evidence, testimonies, and arguments with different weights and credibility scores, maintaining strict legal standards.

Solution

Developed a comprehensive framework that applies weighted scoring to legal concepts, implementing multiple layers of analysis including evidence evaluation, testimony credibility assessment, chain of custody tracking, and standard-based judgment rendering.

Implementation

  • Created domain models for various legal entities (evidence, testimony, precedents)
  • Implemented weighted scoring system for different evidence types
  • Built credibility assessment system for witness testimonies
  • Developed chain of custody tracking for evidence management
  • Created legal standard evaluation framework with confidence scoring
  • Implemented case analysis with multi-factor consideration

Simulation Analysis

Case Analysis Demo

Demonstration of the system analyzing a bank robbery case, showing evidence evaluation, testimony assessment, and verdict rendering based on legal standards

Case Analysis Demo Simulation
Evidence Analysis
Accuracy: 94.6%Latency: 45ms
Precedent Matching
Accuracy: 92.8%Latency: 65ms
Verdict Confidence
Accuracy: 91.5%Latency: 75ms

Technical Architecture

Legal Analysis System Architecture

Core components of the legal reasoning system

Legal Analysis System Architecture

Evidence Evaluation Process

Sequence diagram showing the evidence evaluation workflow

Evidence Evaluation Process

Key Metrics

6 categories
Evidence Types
3 types
Legal Standards
5 areas
Domains
20+ factors
Analysis Points

Technologies

Python 3.8+NumPyPandasDataclassesType HintsRich CLI