Thu. Dec 7th, 2023

Content Assessment: A Reasonable Need for Intentional Offerings: Considering AI in eDiscovery Through the Lens of Business Impact Challenges



A short assessment of the qualitative benefit of the recent article from ComplexDiscovery highlights AI's potential in eDIscovery through the lens of business impact challenges.

Editor’s Note: eDiscovery professionals and providers face a myriad of business challenges that can significantly impact their success. The growing importance of artificial intelligence (AI) in addressing these challenges cannot be overstated. With AI, professionals can unlock new opportunities to enhance their operations, streamline processes, and achieve better results in the face of increasing complexity. This article aims to provide a cursory* overview of AI opportunities and their potential to transform the eDiscovery landscape, regardless of whether a professional or provider is considering AI at a superficial, specific, or strategic level.

ComplexDiscovery Backgrounder

A Reasonable Need for Intentional Offerings: Considering AI in eDiscovery Through the Lens of Business Impact Challenges

AI in eDiscovery

The ComplexDiscovery Summer 2023 Business Confidence Survey offers valuable insights into the key concerns and challenges faced by eDiscovery professionals and providers in today’s rapidly evolving landscape. The survey findings shed light on various factors affecting the industry, including budgetary constraints, increasing data volumes, data security, diverse data types, lack of personnel, and inadequate technology. As organizations continue to navigate this complex environment, exploring AI-driven solutions across these areas is becoming increasingly important to maintain a competitive edge and address the challenges effectively.

Considering the findings of the ComplexDiscovery Summer 2023 Business Confidence Survey, it is evident that eDiscovery professionals and providers face a multitude of challenges in the current landscape. By embracing AI-driven opportunities, these professionals, including those in cybersecurity and information governance, can tap into the transformative potential of artificial intelligence to help address their concerns. The AI-powered solutions outlined below may be helpful for idea generation, helping professionals and providers to consider top industry challenges with the element of AI technology.

Potential Reasonable AI Applications for eDiscovery

The following AI application opportunities, identified across six business challenges, may help eDiscovery professionals and providers enhance their capabilities, improve efficiency, and ultimately drive better outcomes for their businesses:

Budgetary Constraints

  1. AI-driven cost estimation for eDiscovery projects
  2. Automated budget tracking and real-time adjustments
  3. AI-based legal billing optimization
  4. Predictive analytics for resource allocation
  5. AI-powered contract analysis for cost negotiations
  6. Automated invoice validation and approval
  7. AI-driven financial risk assessment for eDiscovery projects
  8. Machine learning algorithms for optimizing eDiscovery workflows
  9. AI-based cost-benefit analysis for eDiscovery tools
  10. Automated financial reporting specific to eDiscovery tasks
  11. AI-powered procurement optimization for eDiscovery software
  12. Real-time budget adherence monitoring using AI
  13. AI-based ROI calculation for eDiscovery investments
  14. Automated expense categorization and tracking
  15. AI-driven predictive maintenance for eDiscovery hardware

While budgetary constraints are a significant concern, managing increasing data volumes is another critical aspect where AI can be invaluable.

Increasing Data Volumes

  1. AI-powered data deduplication
  2. Automated data sorting and categorization
  3. AI-based relevancy scoring for collected data
  4. Machine learning algorithms for pattern recognition in large datasets
  5. AI-driven data compression techniques
  6. Automated data quality checks
  7. AI-based data mapping for eDiscovery
  8. Real-time data monitoring and alerts
  9. AI-powered data transformation and normalization
  10. Automated data ingestion pipelines
  11. AI-based data lineage tracking
  12. Machine learning for predictive data analytics
  13. AI-driven data visualization tools
  14. Automated data governance protocols
  15. AI-based metadata management for eDiscovery

As data volumes grow, so does the need for stringent data security measures, especially in eDiscovery.

Data Security

  1. AI-driven encryption and decryption processes
  2. Automated compliance checks for data protection regulations
  3. AI-based anomaly detection for unauthorized data access
  4. Machine learning algorithms for threat prediction
  5. AI-powered secure data transfer protocols
  6. Automated data masking and redaction
  7. AI-based access control systems
  8. Real-time security alerts and incident response
  9. AI-driven audit trails for data access and modifications
  10. Automated vulnerability assessments
  11. AI-based secure data storage solutions
  12. Machine learning for continuous security policy improvement
  13. AI-powered risk assessment tools
  14. Automated security patch management
  15. AI-based forensic analysis for data breaches

Beyond data security, the increasing types of data involved in eDiscovery add another layer of complexity.

Increasing Types of Data

  1. AI-based text analytics for unstructured data
  2. Automated image and video recognition for multimedia data
  3. AI-driven audio transcription and analysis
  4. Machine learning algorithms for sentiment analysis
  5. AI-powered geospatial data analysis
  6. Automated data type recognition and categorization
  7. AI-based semantic search capabilities
  8. Real-time natural language processing for textual data
  9. AI-driven OCR for scanned documents
  10. Automated social media data collection and analysis
  11. AI-based time-series data analysis
  12. Machine learning for handling IoT data
  13. AI-powered data fusion techniques
  14. Automated handling of encrypted or obfuscated data
  15. AI-based normalization of heterogeneous data sources

Managing diverse data types is challenging, but the quality of personnel handling these tasks is equally important.

Lack of Personnel

  1. AI-based skill assessment during recruitment
  2. Automated onboarding processes
  3. AI-driven performance evaluation
  4. Machine learning algorithms for workload optimization
  5. AI-powered training programs tailored to individual needs
  6. Automated task assignment and tracking
  7. AI-based employee engagement monitoring
  8. Real-time performance feedback using AI
  9. AI-driven succession planning
  10. Automated conflict resolution mechanisms
  11. AI-based team collaboration optimization
  12. Machine learning for identifying skill gaps
  13. AI-powered mentorship matching
  14. Automated compliance training and tracking
  15. AI-based turnover prediction and retention strategies

Quality control in personnel management is crucial, but the technology supporting them must also meet quality standards.

Inadequate Technology

  1. AI-driven technology assessment for eDiscovery tasks
  2. Automated software updates and patch management
  3. AI-based system performance monitoring
  4. Machine learning algorithms for predictive maintenance
  5. AI-powered cloud management solutions
  6. Automated data backup and recovery
  7. AI-based user experience optimization
  8. Real-time system health monitoring using AI
  9. AI-driven technology compatibility checks
  10. Automated disaster recovery protocols
  11. AI-based scalability assessment and optimization
  12. Machine learning for IT service management
  13. AI-powered cybersecurity solutions tailored for eDiscovery
  14. Automated technology procurement and vendor assessment
  15. AI-based change management and adoption tracking

By leveraging AI, organizations can address the multifaceted challenges they face, thereby enhancing efficiency, security, and overall effectiveness.

Reasonable Needs: Observations on Business Impact Factors

ComplexDiscovery Summer 2023 Business Confidence Survey (N=71)

In the summer of 2023, 36.60% of respondents viewed increasing types of data as potentially having the greatest impact on their business in the next six months. This percentage is the highest of all concerns in the summer 2023 survey and marks the highest rating in the area of increasing types of data concerns since the inception of the survey in the winter of 2016. The substantial increase from 33.3% in the spring survey further highlights the challenges organizations face in managing and analyzing diverse types of structured and unstructured data.

Budgetary constraints continued to be a reasonably consistent concern, with 19.70% of summer 2023 survey respondents viewing budgetary constraint challenges as potentially having a substantial impact on business in the next six months. This was a moderate decrease in this area from the 21.3% response rate in the spring 2023 survey. While the percentage of respondents concerned about budgetary constraints has fluctuated since the winter of 2016, it remains a top concern for businesses, emphasizing the need for organizations to allocate resources strategically to effectively tackle this ongoing issue.

Increasing volumes of data continued to be a significant concern, with 18.30% of summer 2023 survey respondents viewing data volume challenges as potentially having a substantial impact on business in the next six months. This was a measured increase in this area from the 16.0% response rate in the spring survey. This change in concern underscores that organizations continue to grapple with managing the sheer amount of data generated, stored, and analyzed, requiring investments in scalable data storage and processing solutions.

The percentage of respondents that viewed lack of personnel as a top business concern decreased to 11.30% in the summer of 2023 from 13.3% in the spring of 2023. This fluctuation indicates ongoing challenges in meeting staffing needs, with the existing workforce potentially taking on greater workloads. Organizations should focus on training, retention, and enhanced hiring strategies to address this challenge.

Respondent’s concern for the impact of data security on business performance decreased to 9.90% during the last quarter from 13.3% in the spring of 2023. Although the percentage has slightly decreased, data security remains a significant challenge throughout the survey period, necessitating continuous investments in cybersecurity measures to protect sensitive information and maintain compliance with privacy regulations.

In the summer of 2023, the impact of inadequate technology as the top business issue increased by 1.5% from the last quarter to 4.20%. This fluctuating rating emphasizes that organizations must consistently evaluate and update their tools and infrastructure to adapt to the ever-changing data landscape and maintain efficiency and competitiveness, as reflected in the trends since the winter of 2016.

These top concerns highlight the multifaceted challenges faced by eDiscovery professionals and organizations. Addressing these issues demands a comprehensive approach that combines strategic resource allocation, technological investments, and a skilled workforce to effectively navigate the complex eDiscovery landscape.

Chart 1: An Overview of Issues Impacting eDiscovery Business Performance in the Summer of 2023

Issues Impacting eDiscovery Business Performance – Summer 2023

Chart 2: An Aggregate Overview of Issues Impacting eDiscovery Business Performance (2016 – 2023)

Issues Impacting eDiscovery Business Performance – Summer 2023 Aggregate

A Reasonable Need for Intentional AI Offerings

The prudent application of Artificial Intelligence (AI) stands as a cornerstone for eDiscovery professionals and providers. By focusing on AI’s diverse applications, these stakeholders can transition from merely reacting to market dynamics to proactively shaping their offerings. This shift allows for solutions that are strategically engineered to tackle specific business challenges, as opposed to those that are merely designed to garner attention without delivering tangible outcomes.

*A cursory examination or review is one that is quick, brief, and superficial. It typically involves only a high-level overview or a general glance at the subject matter, without delving into details or specific aspects. Cursory assessments are often carried out when there is limited time or resources, or when a deeper understanding of the topic is not necessary at the moment. However, they may not provide an accurate or complete understanding of the subject due to their limited scope.

Assisted by GAI and LLM Technologies

Additional Reading

Source: ComplexDiscovery


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 2, Midjourney, and DALL-E3, 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 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.


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ComplexDiscovery is a distinguished digital publication that delivers journalistic insights into cybersecurity, information governance, and eDiscovery developments and technologies. It adeptly navigates the intersection of these sectors with international business and current affairs, transforming relevant developments into informational news stories. This unique editorial approach enables professionals to gain a broader perspective on the intricacies of the digital landscape for informed strategic decision-making.

Incorporated in Estonia, a nation celebrated for its digital innovation, ComplexDiscovery OÜ adheres to the most rigorous standards of journalistic integrity. The publication diligently analyzes global trends, assesses technological breakthroughs, and offers in-depth appraisals of services involving electronically stored information. By contextualizing complex legal technology issues within the broader narrative of worldwide commerce and current events, ComplexDiscovery provides its readership with indispensable insights and a nuanced understanding of the eDiscovery industry.