Editor’s Note: The 2024-2029 eDiscovery Market Size Mashup from ComplexDiscovery OÜ not only highlights the evolving task allocation across collection, processing, and review but also underscores the strategic opportunity for stakeholders to ramp demand generation efforts. With Generative AI efficiencies reducing costs in the review phase, market participants must align their strategies to capture the increasing opportunities in data-intensive workflows such as collection and processing. For shareholders, this shift emphasizes the importance of investing in technologies and initiatives that drive broader market adoption, expand service offerings, and sustain revenue growth in an increasingly competitive and efficient market.


Content Assessment: First Look: eDiscovery Task Allocation Trends in the 2024-2029 Market Size Mashup

Information - 94%
Insight - 95%
Relevance - 92%
Objectivity - 94%
Authority - 95%

94%

Excellent

A short percentage-based assessment of the qualitative benefit expressed as a percentage of positive reception of the recent article from ComplexDiscovery OÜ titled, "First Look: eDiscovery Task Allocation Trends in the 2024-2029 Market Size Mashup."


Industry Research – Markets

First Look: eDiscovery Task Allocation Trends in the 2024-2029 Market Size Mashup

ComplexDiscovery Staff

As part of the upcoming 2024-2029 eDiscovery Market Mashup from ComplexDiscovery OÜ, scheduled for publication in early January 2025, a comparative analysis of task allocation for collection, processing, and review highlights the evolving landscape of eDiscovery expenditures over time. Using data from the 2012 RAND Corporation study, 2024 market modeling, and the 2029 market forecast, the shifting distribution underscores the impact of technology and data growth on eDiscovery workflows.

Key Insights

Review Dominance is Declining

  • In 2012, review accounted for 73% of eDiscovery costs, reflecting the resource-intensive nature of manual document review.
  • By 2024, review’s share drops to 64%, and further to 52% in 2029, driven by efficiency gains from Generative AI, technology-assisted review (TAR), and predictive coding.

Collection Gaining Prominence

  • Collection’s share of expenditures nearly triples, rising from 8% in 2012 to 16% in 2024 and 24% by 2029. This growth reflects the increasing complexity of data environments and the need for advanced tools to handle diverse sources like IoT, cloud platforms, and multimedia.

Processing Stabilizing as a Critical Component

  • Processing costs show a steady rise from 19% in 2012 to 20% in 2024 and 24% in 2029. As data volumes grow by approximately 30% annually, investments in robust data culling, de-duplication, and analytics platforms will be critical to managing exponential data growth.

Chart: Relative Task Expenditures for eDiscovery


Implications for eDiscovery Stakeholders

This shifting allocation highlights the need for organizations to:

  • Invest in AI-driven efficiencies to manage review workloads.
  • Enhance data collection capabilities to address the expanding variety and volume of data.
  • Bolster processing pipelines to ensure data readiness for analysis and review.
  • Prioritize demand generation efforts to educate clients on new service offerings, drive adoption of AI-enhanced workflows, and capture opportunities from exponential data growth.

As eDiscovery evolves, these trends reflect an ongoing redistribution of expenditures that aligns with the challenges of handling massive data growth while leveraging cutting-edge technologies.

About the eDiscovery Market Size Mashup from ComplexDiscovery OÜ

The eDiscovery Market Size Mashup from ComplexDiscovery OÜ is an annual analytical report that provides a comprehensive overview of eDiscovery market trends, task-based expenditures, and technological advancements. Leveraging data from historical studies, market modeling, and future forecasting, the Mashup offers actionable insights for legal, business, and technology professionals. By examining key factors such as data growth, task allocation, and the impact of emerging technologies like Generative AI, the Mashup serves as a critical resource for understanding the evolving dynamics of eDiscovery. The 2024-2029 edition of the report will be published in early January 2025.

News Sources


Assisted by GAI and LLM Technologies


Additional Reading

Source: ComplexDiscovery OÜ

 

Have a Request?

If you have information or offering requests that you would like to ask us about, please let us know, and we will make our response to you a priority.

ComplexDiscovery OÜ is a highly recognized digital publication focused on providing detailed insights into the fields of cybersecurity, information governance, and eDiscovery. Based in Estonia, a hub for digital innovation, ComplexDiscovery OÜ upholds rigorous standards in journalistic integrity, delivering nuanced analyses of global trends, technology advancements, and the eDiscovery sector. The publication expertly connects intricate legal technology issues with the broader narrative of international business and current events, offering its readership invaluable insights for informed decision-making.

For the latest in law, technology, and business, visit ComplexDiscovery.com.

 

Generative Artificial Intelligence and Large Language Model Use

ComplexDiscovery OÜ recognizes the value of GAI and LLM tools in streamlining content creation processes and enhancing the overall quality of its research, writing, and editing efforts. To this end, ComplexDiscovery OÜ regularly employs GAI tools, including ChatGPT, Claude, DALL-E2, Grammarly, Midjourney, and Perplexity, to assist, augment, and accelerate the development and publication of both new and revised content in posts and pages published (initiated in late 2022).

ComplexDiscovery also provides a ChatGPT-powered AI article assistant for its users. This feature leverages LLM capabilities to generate relevant and valuable insights related to specific page and post content published on ComplexDiscovery.com. By offering this AI-driven service, ComplexDiscovery OÜ aims to create a more interactive and engaging experience for its users, while highlighting the importance of responsible and ethical use of GAI and LLM technologies.