Reported impact
Business outcome
Up to 90% efficiency boost in content generation
- Compliance
- Cost Reduction
- Customer Experience
- Productivity Improvement
MicrosoftCommercial and Professional ServicesDocument ProcessingEnterprise Knowledge SearchCybersecurityGenerative AI / LLMComplianceCost ReductionCustomer ExperienceProductivity Improvement2024 MicrosoftMS#0078d4Commercial and Professional ServicesUnited StatesAs one of the world’s largest and leading law firms, DLA Piper has consistently demonstrated a commitment to embracing technology to strengthen legal services and streamline operations with a goal of providing the best…From an administrative and operational perspective, “some of our early experiments showed Copilot could save up…Nov 11, 20245Document Processing|Enterprise Knowledge SearchMicrosoft 365 Copilot · Microsoft Teams0 2024-11-11 5
DLA Piper
Document Processing · Enterprise Knowledge Search
As one of the world’s largest and leading law firms, DLA Piper has consistently demonstrated a commitment to embracing technology to strengthen legal services and streamline operations with a goal of providing the best service to its clients.
From an administrative and operational perspective, “some of our early experiments showed Copilot could save up to 36 hours per week in content generation and data analysis,” says Gastwirth.
Microsoft 365 Copilot boosted productivity for operational and administrative teams, saving up to 36 hours weekly on content generation and data analysis.
Some of our early experiments showed Copilot could save up to 36 hours per week in content generation and data analysis.
Up to 90% efficiency boost in content generation
Solution
DLA Piper built this solution on Microsoft 365 Copilot, Microsoft Teams. As one of the world’s largest and leading law firms, DLA Piper has consistently demonstrated a commitment to embracing technology to strengthen legal services and streamline operations with a goal of providing the best service to its clients. Microsoft 365 Copilot assists employees with drafting, summarization, and information retrieval inside daily work tools. Microsoft Teams presents collaboration workflows and shared communication experiences to end users. DLA Piper chose Microsoft 365 Copilot, an AI-powered tool that works with Microsoft 365 applications, to streamline document creation, optimize workflows, enhance productivity, and automate routine tasks, all while maint Microsoft 365 Copilot boosted productivity for operational and administrative teams, saving up to 36 hours weekly on content generation and data analysis.
Data flow
Documents, meetings, and collaboration context remain in Microsoft 365 while Copilot generates grounded drafts, summaries, and answers directly inside daily employee workflows.
Solution architecture
- Serving
- Microsoft 365 Copilot Assists employees with drafting, summarization, and information retrieval inside daily work tools.
- Microsoft Teams Presents collaboration workflows and shared communication experiences to end users.
Architecture clues
- The implementation relies on Microsoft 365 Copilot as a core technical building block.
Evidence from the source
As one of the world’s largest and leading law firms, DLA Piper has consistently demonstrated a commitment to embracing technology to strengthen legal services and streamline operations with a goal of providing the best s
DLA Piper chose Microsoft 365 Copilot, an AI-powered tool that works with Microsoft 365 applications, to streamline document creation, optimize workflows, enhance productivity, and automate routine tasks, all while maint
From an administrative and operational perspective, “some of our early experiments showed Copilot could save up to 36 hours per week in content generation and data analysis,” says Gastwirth.
Microsoft 365 Copilot boosted productivity for operational and administrative teams, saving up to 36 hours weekly on content generation and data analysis.
Up to 90% efficiency boost in content generation
Transparency Evidence & methodology
Review how this reference was scored and trace each normalized claim back to its documented source.
Scoring methodology
How scores are calculated
Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.
Customer reference value82/100
- Problem clarity20/20Measures whether the customer's operational problem is specific enough to compare.
- Implementation depth20/25Rewards named components, data flow, integrations, and architecture detail.
- Outcome specificity12/20Measures whether the reported benefit is concrete rather than a generic claim.
- Quantified impact25/254 metrics describe measurable impact.
- Deployment scale5/10Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence87%
- Source authority20/25The main evidence is an official vendor-published customer story.
- Claim traceability21/2510 of 12 key fields link to a named source.
- Direct evidence20/205 direct source quotes retained.
- Date provenance10/10The publication date comes from the source page or publisher.
- Source transparency8/101 source reference document publisher, URL, authority, retrieval, and supported fields.
- Implementation specificity8/10Rewards source-backed components, data flow, quantified impact, and a specific outcome.
Traceability
Sources & provenance
Field coverage shows which facts each source supports. Dates are shown only when documented by the source.
- https://www.microsoft.com/en/customers/story/19584-dla-piper-microsoft-365-copilotMicrosoftFirst-party
DLA Piper customer story
Supports- Customer
- Business problem
- Solution
- Products
- Solution components
- Data flow
- Integrations
- technical area
- use case category
- Business outcome
- outcome category
- Metrics
- Architecture
- evidence quotes
- Publication date
Date evidence
- Published on source page Nov 11, 2024 · Microsoft · First-partyOpen date source
Not separately sourced Industry, Region, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.
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