Arbitration and mediation have always depended on evidence, but the volume and form of that evidence has changed. A single construction or commercial dispute can now involve hundreds of thousands of emails, project schedules, ledgers and site records, while clients and funders want a reasoned view of a case's value and likely duration before they commit fees. ADR institutions, for their part, face pressure to publish performance figures and show that their processes are efficient and fair.

The Data and Analytics for Arbitration, Mediation & Dispute Resolution Training Course gives legal and claims professionals a working command of the analytical methods now used at every stage of a dispute. It begins with structuring dispute data and building reliable case chronologies, moves through quantum and interest calculations, and then turns to probabilistic tools that support settlement strategy and mediation preparation. Later sessions examine document review analytics, the evidential weight of expert data, institutional performance metrics, and the confidentiality, privacy and bias questions raised by AI-assisted tools.

Teaching is hands-on. Participants work in Excel and Power BI with anonymised claim files, build a decision tree for a commercial dispute, test a damages model against opposing assumptions and design a caseload dashboard. Each exercise is tied to a real procedural moment, from the request for arbitration to the final award or settlement agreement.

On completing the programme, participants will be able to:

• Structure dispute data, case chronologies and document sets so they can be analysed and verified.
• Calculate damages, lost profits, interest and costs using transparent, auditable spreadsheet models.
• Apply decision tree and Monte Carlo methods to estimate settlement ranges and litigation risk.
• Evaluate technology-assisted review and e-discovery outputs for accuracy and defensibility.
• Interpret expert quantum and delay analysis reports and identify weaknesses in their data.
• Design caseload and performance dashboards for arbitral institutions, mediation centres and legal departments.
• Assess data protection, cybersecurity and algorithmic bias risks in the handling of dispute data.
• Present quantitative findings persuasively in pleadings, mediation briefs and hearings.

The course serves professionals who handle the evidence, money and procedure of disputes, such as:

• Arbitrators and tribunal secretaries
• Commercial and court-annexed mediators
• Litigation and dispute resolution lawyers
• In-house counsel and legal operations managers
• Claims consultants, quantity surveyors and contract managers handling construction disputes
• Forensic accountants and damages experts
• Case managers and registrars at ADR institutions
• Legal analysts and paralegals supporting document review
• Insurance and litigation funding analysts assessing claims

Each participant departs with:

• A dispute data template covering parties, issues, events, documents and amounts claimed.
• A working damages and interest model with clearly stated assumptions and sensitivity tables.
• A decision tree for a sample claim that produces an expected value and a recommended settlement range.
• A checklist for questioning the methodology and data behind an opposing expert's report.
• A protocol outline for technology-assisted review, including sampling and quality control steps.
• A prototype caseload dashboard showing duration, cost and outcome indicators.
• A data handling plan for confidential and personal data in arbitral proceedings.
• A short brief presenting quantitative analysis to a client, tribunal or mediator.

Learning is anchored in the files and numbers that arise in real disputes. Sessions combine:

• Worked case files from construction, commercial supply, energy and insurance disputes, anonymised for training
• Guided spreadsheet labs on chronologies, damages models and decision trees
• A Power BI build of a caseload dashboard from sample institutional data
• A mock mediation in which the parties argue from competing valuations
• Critique sessions on extracts from expert quantum and delay reports
• Short practitioner briefings on the evidential and procedural side of each method

A CPD-accredited Certificate of Completion issued by Vision Reach Global Consultancy is awarded to participants who attend all five days and complete the modelling exercises, including the damages model, the settlement decision tree and the dashboard build.

The worked files produced during the course stay with participants and can support their continuing professional development records.