Optimizing Shared Drive Organization for Enhanced eDiscovery

Optimizing Shared Drive Organization for Enhanced eDiscovery

The client, a dynamic global corporation with years of accumulated data residing in sprawling shared drives, sought our expertise to organize, categorize, and optimize their data. The magnitude of unstructured data presented both a challenge and an opportunity to showcase the power of advanced eDiscovery tools

The Ask

  • Unstructured Shared Drive Data
    Client's c.200GB data was scattered across various folders, lacking a systematic organization, making it challenging to identify and retrieve relevant information efficiently.

  • Redundancy and Data Duplication
    The absence of standardized file naming conventions led to redundant and duplicated data, which complicated the eDiscovery process and increased the risk of oversight.

  • Inefficient Data Retrieval
    The lack of coherent data organization made it difficult for legal teams to retrieve specific documents promptly, impacting the speed and efficiency of eDiscovery workflows. Files, both –handwritten and typed, were available across multiple folders on the cloud with various copies of each document.

  • Legal Compliance
    Ensuring that the reorganization adhered to legal and regulatory requirements, particularly concerning data privacy and confidentiality, was a critical consideration.

Our Solution

01.
Relativity Integration
  • Leveraged Relativity to create a structured framework for organizing shared drive data. Workspace was customized and features were employed to categorize and tag documents based on relevance and metadata.

01.
Relativity Integration
  • Leveraged Relativity to create a structured framework for organizing shared drive data. Workspace was customized and features were employed to categorize and tag documents based on relevance and metadata.

01.
Relativity Integration
  • Leveraged Relativity to create a structured framework for organizing shared drive data. Workspace was customized and features were employed to categorize and tag documents based on relevance and metadata.

02.
Automated Data Deduplication
  • Utilizing Relativity's automated deduplication capabilities, we systematically identified and removed 35% redundant documents, streamlining the dataset and ensuring a more efficient and cost-effective eDiscovery process.

02.
Automated Data Deduplication
  • Utilizing Relativity's automated deduplication capabilities, we systematically identified and removed 35% redundant documents, streamlining the dataset and ensuring a more efficient and cost-effective eDiscovery process.

02.
Automated Data Deduplication
  • Utilizing Relativity's automated deduplication capabilities, we systematically identified and removed 35% redundant documents, streamlining the dataset and ensuring a more efficient and cost-effective eDiscovery process.

03.
Customized Tagging Layout
  • We developed a customized tagging layout within Relativity, incorporating tags and labels to classify documents based on their nature and legal significance with respect to privilege and confidential information. This helped to reduce the irrelevant data further by 60%.

03.
Customized Tagging Layout
  • We developed a customized tagging layout within Relativity, incorporating tags and labels to classify documents based on their nature and legal significance with respect to privilege and confidential information. This helped to reduce the irrelevant data further by 60%.

03.
Customized Tagging Layout
  • We developed a customized tagging layout within Relativity, incorporating tags and labels to classify documents based on their nature and legal significance with respect to privilege and confidential information. This helped to reduce the irrelevant data further by 60%.

04.
Collaborative Data Mapping
  • Collaborating closely with the client’s legal team, we mapped out specific requirements, ensuring that the reorganization aligned with their litigation strategies while meeting legal and compliance standards like final versions of IT contracts in one folder.

04.
Collaborative Data Mapping
  • Collaborating closely with the client’s legal team, we mapped out specific requirements, ensuring that the reorganization aligned with their litigation strategies while meeting legal and compliance standards like final versions of IT contracts in one folder.

04.
Collaborative Data Mapping
  • Collaborating closely with the client’s legal team, we mapped out specific requirements, ensuring that the reorganization aligned with their litigation strategies while meeting legal and compliance standards like final versions of IT contracts in one folder.

Outcomes

Data Deduplication
  • Final deliverables included c.40K files organized within respective folders for each firm or department and file content against the dataset of 150K files.

Data Deduplication
  • Final deliverables included c.40K files organized within respective folders for each firm or department and file content against the dataset of 150K files.

Data Deduplication
  • Final deliverables included c.40K files organized within respective folders for each firm or department and file content against the dataset of 150K files.

Structured and Searchable Data Repository
  • The reorganized shared drives, facilitated by Relativity, transformed into structured and searchable repositories, allowing for quicker and more precise data retrieval.

Structured and Searchable Data Repository
  • The reorganized shared drives, facilitated by Relativity, transformed into structured and searchable repositories, allowing for quicker and more precise data retrieval.

Structured and Searchable Data Repository
  • The reorganized shared drives, facilitated by Relativity, transformed into structured and searchable repositories, allowing for quicker and more precise data retrieval.

Efficient Resource Utilization
  • Automated deduplication and systematic organization not only streamlined the overall volume of data with overall data reduction by 70%, but also optimized client’s time on reviewing the final deliverables, leading to significant efficiency gains and cost savings for the client.

Efficient Resource Utilization
  • Automated deduplication and systematic organization not only streamlined the overall volume of data with overall data reduction by 70%, but also optimized client’s time on reviewing the final deliverables, leading to significant efficiency gains and cost savings for the client.

Efficient Resource Utilization
  • Automated deduplication and systematic organization not only streamlined the overall volume of data with overall data reduction by 70%, but also optimized client’s time on reviewing the final deliverables, leading to significant efficiency gains and cost savings for the client.

Enhanced Data Visibility
  • The customized taxonomy and tagging system enhanced data visibility, allowing legal teams to quickly identify and prioritize relevant documents for review.

Enhanced Data Visibility
  • The customized taxonomy and tagging system enhanced data visibility, allowing legal teams to quickly identify and prioritize relevant documents for review.

Enhanced Data Visibility
  • The customized taxonomy and tagging system enhanced data visibility, allowing legal teams to quickly identify and prioritize relevant documents for review.

Legal Compliance
  • The reorganization adhered to legal and regulatory standards, addressing concerns related to data privacy, confidentiality, and overall legal compliance.

Legal Compliance
  • The reorganization adhered to legal and regulatory standards, addressing concerns related to data privacy, confidentiality, and overall legal compliance.

Outcomes

Data Deduplication
  • Final deliverables included c.40K files organized within respective folders for each firm or department and file content against the dataset of 150K files.

Structured and Searchable Data Repository
  • The reorganized shared drives, facilitated by Relativity, transformed into structured and searchable repositories, allowing for quicker and more precise data retrieval.

Efficient Resource Utilization
  • Automated deduplication and systematic organization not only streamlined the overall volume of data with overall data reduction by 70%, but also optimized client’s time on reviewing the final deliverables, leading to significant efficiency gains and cost savings for the client.

Enhanced Data Visibility
  • The customized taxonomy and tagging system enhanced data visibility, allowing legal teams to quickly identify and prioritize relevant documents for review.

Legal Compliance
  • The reorganization adhered to legal and regulatory standards, addressing concerns related to data privacy, confidentiality, and overall legal compliance.

United Kingdom

lota Analytics UK Limited

4 King's Bench Walk,

London EC4Y 7DL

United Kingdom

India

lota Analytics Private Limited 1-8 Chandigarh Technology Park, Chandigarh - 160003 India

United States

Iota Analytics Inc.

8800 Roswell Road, Bldg. C,
Suite 230, Atlanta, GA, 30350
United States

© 2024 Iota Analytics. All rights reserved.

United Kingdom

lota Analytics UK Limited

4 King's Bench Walk,

London EC4Y 7DL

United Kingdom

India

lota Analytics Private Limited 1-8 Chandigarh Technology Park, Chandigarh - 160003 India

United States

Iota Analytics Inc.

8800 Roswell Road, Bldg. C,
Suite 230, Atlanta, GA, 30350
United States

© 2024 Iota Analytics. All rights reserved.

United Kingdom

lota Analytics UK Limited

4 King's Bench Walk,

London EC4Y 7DL

United Kingdom

India

lota Analytics Private Limited 1-8 Chandigarh Technology Park, Chandigarh - 160003 India

United States

Iota Analytics Inc.

8800 Roswell Road, Bldg. C,
Suite 230, Atlanta, GA, 30350
United States

© 2024 Iota Analytics. All rights reserved.