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AI-Powered Arbitration Research for a Top US Law Firm

Built a citation-grounded AI platform for international arbitration financial damages review. 4x reduction in manual document review time. Won the Most Innovative Legal Solution Award.

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The challenge

A top US law firm specializing in international arbitration needed a faster, more reliable way to review financial damages across large volumes of case documents. The existing process was entirely manual — attorneys spent hundreds of hours cross-referencing financial claims, extracting relevant figures, and verifying citations across thousands of pages of filings, exhibits, and expert reports.

The key problems:

  • Financial damages review consumed disproportionate associate time at premium billing rates
  • Citation verification was manual, error-prone, and difficult to audit
  • No structured way to flag inconsistencies or compare damages scenarios across cases
  • Partners lacked a centralized view of risk exposure across active arbitration matters

The firm needed a system that could accelerate review without sacrificing the citation accuracy and traceability that international arbitration demands.

Our approach

DSL designed and built a citation-grounded AI platform purpose-built for arbitration financial damages analysis. The system was engineered around the firm's actual workflows, not adapted from a generic legal AI product.

The solution included:

  • AI-powered extraction of financial claims, figures, and citations from arbitration filings and expert reports
  • Citation-backed outputs — every extracted data point linked to its source document, page, and paragraph
  • Structural risk flagging to identify inconsistencies, unsupported claims, and calculation discrepancies
  • Scenario comparison tools enabling attorneys to model alternative damages calculations side by side
  • Role-based access controls and audit trails to meet the firm's data governance requirements
  • Human review checkpoints at every stage — the AI assisted, attorneys decided

The results

  • 4x reduction in manual document review time for financial damages analysis
  • Citation-grounded outputs that attorneys could verify and present with confidence
  • Structural risk flags caught inconsistencies that manual review had missed in prior matters
  • The platform won the Most Innovative Legal Solution Award
  • The system was built for the firm's environment and is operated by the firm's team — no ongoing vendor dependency
4x faster document review
Citation-backed extraction
Most Innovative Legal Solution Award
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