Hawaii Disability Legal Services cuts research time significantly with CoCounsel AI-Assisted Research
Hawaii Disability Legal Services deployed Large Language Models & Generative AI for Legal Research & Case Law in Law Firms. legal.thomsonreuters.com reports no complete outcome metric.
What Hawaii Disability Legal Services was trying to fix
Hawaii Disability Legal Services operates across the Hawaiian Islands and Pacific territories — an unusually wide geographic footprint for a small firm. Attorney Diane Haar and her team must handle complex disability law matters spanning multiple jurisdictions while keeping costs contained enough to serve clients who typically have limited resources. The core tension: thorough legal research is time-intensive and expensive, but cutting corners on research quality is not acceptable in disability advocacy work. For a small practice competing against larger firms with deeper research infrastructure, the status quo meant either limiting client volume or stretching the team unsustainably thin.
What Hawaii Disability Legal Services deployed
The firm adopted Westlaw Precision with CoCounsel, a legal research platform integrating large language model-based AI into the Westlaw research workflow. The key capability is CoCounsel's AI-Assisted Research feature, which generates an initial research foundation — relevant case law, statutory analysis, and legal context — that attorneys then review and verify. Rather than replacing the research process, the tool restructures it: the AI handles the time-consuming initial sweep across case law, while attorney judgment governs interpretation and application. Haar's technical proficiency allowed her to integrate the tool efficiently into existing workflows, extracting maximum value while maintaining the verification discipline that professional standards require. The deployment fits within the existing Westlaw ecosystem rather than requiring a separate platform.
Results
The practice now completes complex legal research significantly faster, enabling the team to support a larger client base without proportional cost increases. Haar describes the impact directly: 'The time savings is massive, and time is money.' Key outcomes include:
- Materially reduced time per research task, freeing attorney capacity for client-facing work
- Expanded ability to take on more clients across the firm's wide geographic service area
- Consistent research quality maintained through a structured human-verification workflow
- Cost structure kept stable despite increased caseload, preserving the firm's ability to serve resource-limited disability clients
Key Takeaways
- AI research tools function as a starting point, not a final answer — attorney verification of cited cases remains a professional and practical requirement.
- Small firms with geographic or resource constraints see disproportionate ROI from AI adoption because capacity constraints are their primary growth limiter.
- Technical fluency accelerates value extraction: attorneys who understand how to prompt and interpret AI research outputs get more from the same tools.
- Integrating AI within an existing research platform (Westlaw) reduces adoption friction compared to deploying a standalone tool.
- Disability and public interest practices benefit particularly from AI efficiency gains, as cost control directly affects client access to representation.
Evidence for Hawaii Disability Legal Services's Legal Research & Case Law deployment
- Reported outcome metrics
- Not reported by source
- Cited source
- legal.thomsonreuters.com
- Last updated
- Source link checked
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Details
- Industry
- Law Firms
- Use Case
- Legal Research & Case Law
- AI Technology
- Large Language Models & Generative AI
- Company Size
- SME
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