Key Features and Functions include:

AI-Assisted Claim Analysis
The system analyzes party submissions and automatically extracts claims from position statements. It organizes evidence, summarizes filings, and structures the case record to assist arbitrators and parties in reviewing the dispute materials.

Automated Case Summaries and Draft Awards
AI Arbitrator generates structured case summaries and produces draft awards based on the submissions and applicable legal authorities. These outputs are reviewed, revised if necessary, and ultimately issued by a human arbitrator who retains responsibility for the final decision.

Human-in-the-Loop Arbitration Workflow
The system incorporates a human-in-the-loop structure. Parties review AI-generated summaries of their claims and evidence, and a trained AAA arbitrator validates the AI’s reasoning and draft award before issuing the final binding decision.

Structured Digital Arbitration Process
The platform provides a step-by-step digital workflow that guides parties from case filing through submissions, evidence uploads, AI-generated summaries, arbitrator review, and issuance of the award. This process is designed to support documents-only arbitration matters administered through the AAA platform.

Resolution Simulator (AI Arbitrator Feature)
The Resolution Simulator provides a non-binding, AI-generated simulated decision based on user submissions. Designed for single-party use prior to formal proceedings, it uses the same reasoning framework as the AI Arbitrator to illustrate how an arbitrator might analyze the dispute. Legal teams may use the tool to assess potential exposure, evaluate negotiation or settlement strategies, and consider possible dispute resolution pathways before escalation.

Explainable Legal Reasoning Framework
The system applies structured legal reasoning to evaluate claims, analyze evidence, and generate explanatory outputs. This approach aims to make AI-generated insights transparent and understandable to users while aligning outputs with established arbitration practices.

Data Governance and Controlled AI Environment
Case data processed through the platform is handled within a controlled environment designed to maintain confidentiality. The system is structured so that case information and outputs are not used to train underlying foundation models, supporting confidentiality in arbitration matters.