Unlock New Levels of Legal Productivity

Explore use cases demonstrating the cost-saving benefits of Ekamm8’s solutions.

AI-Driven Legal Document Review for Litigation & Investigations

Moving from manual review to AI led review, reducing cycle times and driving consistency.

In the context of a high-stakes business transaction, the Federal Trade Commission (FTC) or Department of Justice (DOJ) issues a Second Request, requiring the client to produce and review massive volumes of documents as part of their antitrust or regulatory investigation. The dataset to be reviewed includes 10TB of data, comprising emails, internal communications, data submissions, and other organizational records. Given the scale of the data, the tight regulatory deadlines, and the high stakes, this is a rare and critical event for the client, potentially occurring once in a decade.

The challenges in this scenario are multifaceted:

Volume and Complexity: Handling 10TB of documents, with a mix of formats and structures, including emails, PDFs, spreadsheets, and multimedia.
Time Sensitivity: Regulatory deadlines leave little room for inefficiency, with every delay risking non-compliance or penalties.
High Stakes: This is a pivotal event for the client, as the approval of a significant business transaction hangs in the balance.
Effective Use of Technology: Leveraging AI, TAR (Technology-Assisted Review), and eDiscovery tools effectively while adhering to regulatory guidelines.

Ekamm8 leverages its deep expertise in handling complex litigation and investigation projects to provide a seamless managed legal document review service:

1. Protocol Development and Negotiation Support:

Collaborate with outside counsel to draft and finalize a review protocol that aligns with regulatory requirements and client goals.
Example: Establishing clear relevance criteria, privilege rules, and reporting mechanisms to satisfy FTC/DOJ standards.
Provide expert input on negotiable aspects of the government’s TAR guidelines, ensuring the protocol is both efficient and compliant.

2. Data Preparation and AI Training:

Utilize advanced AI tools to process 5TB of prioritized data initially, performing key tasks such as:
Deduplication: Reducing redundant files to minimize review efforts.
Preliminary Relevance Assessment: Identifying potentially responsive documents based on training protocols.
Privilege Filtering: Automatically flagging privileged content to protect sensitive information.

3. Technology-Assisted Review (TAR) Implementation:

Train AI agents to align with the specific parameters of the finalized review protocol.
Examples: Using AI models to identify responsive documents with 90%+ accuracy, enabling subject-matter experts to focus on truly critical material; Automating keyword searches, contextual analysis, and clustering of similar documents for efficient categorization.

4. Expert Review and Reporting:

Present a streamlined dataset to subject-matter expert attorneys for final review, significantly reducing manual effort.
Develop detailed reports tailored to regulatory expectations, including:
Weekly progress summaries.
Metrics on document relevance rates, privilege logs, and completion timelines.

5. End-to-End Project Management:

Coordinate with internal legal teams, outside counsel, and eDiscovery vendors to ensure timelines and quality benchmarks are met.
Example: Delivering structured updates that allow the team to address regulatory feedback in real time without derailing the review process.

Ekamm8 delivers a cost-effective, timely, and compliant solution to manage the Second Request process:

50% reduction in review workload by automating relevance assessment and privilege filtering.
Completion of the review process 10 days ahead of the regulatory deadline, ensuring compliance and avoiding penalties
Savings of $1.5M in review costs, achieved by reducing the reliance on manual review and optimizing AI tools for relevance and privilege detection.
Enhanced collaboration between the legal team and outside counsel, with Ekamm8’s streamlined reports reducing the time spent on internal updates by 40%.
Successfully negotiated more flexible TAR guidelines, reducing the review burden by an additional 15%.

By ensuring the smooth and efficient handling of this critical investigation process, Ekamm8 not only saves costs and time but also mitigates risks, allowing the client to focus on the broader strategic implications of their transaction.

Agentic AI led Cyber Breach Response

Driving consistency and managing time constraints

A healthcare organization experiences a cybersecurity breach that exposes sensitive data, including Personally Identifiable Information (PII) and Protected Health Information (PHI). Due to the breach’s complexity, determining its boundaries takes longer than anticipated, compressing the timeline for notifying affected individuals as required by regulatory frameworks (e.g., HIPAA or GDPR). The dataset includes 5TB of unstructured data, such as emails, scanned documents, and internal reports, obtained from breach counsel.

The challenges in addressing the breach include:

Volume and Complexity: Processing 5TB of unstructured data to identify PII and PHI across a range of file types and formats.
Regulatory Compliance: Complying with notification timelines imposed by regulations while managing delays in defining the breach’s scope.
Data Sensitivity: Ensuring minimal human exposure to sensitive data to reduce privacy risks and maintain confidentiality.
Accuracy and Timeliness: Generating accurate and complete notification lists under severe time constraints.

Ekamm8 deploys its expertise in AI-driven breach response to deliver precise and timely notification lists:

1. Data Triage and Preparation:

Rapid ingestion of the 5TB dataset into secure, AI-enabled platforms for processing.
Automated identification and categorization of file types (e.g., emails, PDFs, images) to prioritize high-risk data sources.

2. AI-Powered Data Processing:

Deploy specially trained AI agents with advanced Natural Language Processing (NLP) capabilities to locate PII and PHI. Example: Recognize names, Social Security Numbers, addresses, medical record numbers, and financial information.
Use optical character recognition (OCR) for scanned documents to extract text and identify sensitive information.

3. Minimal Human Interaction:

AI agents process the bulk of the dataset, flagging sensitive records for human review only when necessary.
Example: AI identifies 85% of PII/PHI autonomously, minimizing human exposure to sensitive data and enhancing security.

4. Automated Reporting and List Generation:

AI tools compile identified PII/PHI into structured reports, ready for notification list generation.
Reports include critical metadata (e.g., file source, exposure timestamp) for audit purposes.

5. Regulatory Support and Compliance:

Provide breach counsel and corporate stakeholders with detailed logs and compliance-ready outputs.
Example: Reports aligned with HIPAA’s 60-day notification requirement or GDPR’s 72-hour breach reporting rule.

6. End-to-End Project Management:

Coordinate with breach counsel, IT teams, and insurers to streamline communication and maintain tight timelines.
Deliver regular updates on progress and data insights to enable timely decision-making. breach counsel and corporate stakeholders with detailed logs and compliance-ready outputs.

1. Time Savings:

Reduced the time required to process and analyze the 5TB dataset from an estimated 12 weeks to 4 weeks, enabling compliance with regulatory notification deadlines.

2. Cost Efficiency:

Lowered breach response costs by $250K–$500K, achieved through AI automation reducing manual effort by 70%.

3. Data Accuracy:

Achieved 95% accuracy in identifying PII and PHI, significantly reducing the risk of missing exposed individuals.

4. Confidentiality:

Limited human exposure to less than 10% of the dataset, ensuring privacy and reducing liability risks associated with manual review errors.

5. Notification List Completion:

Generated a complete notification list covering 100,000+ affected individuals in less than 30 days, meeting compliance deadlines without delays.

6. Regulatory Reporting:

Delivered compliance-ready reports for submission to regulators, including detailed audit trails and breach summaries, reducing the risk of penalties or further scrutiny.

Technology Selection for the Legal Team

Navigating through infinite technology options to identifying and implementing the appropriate tool

As a law firm expands globally, the complexity of managing teams across various time zones and jurisdictions intensifies. The firm is seeking technological solutions, particularly leveraging AI-powered tools, to enhance efficiency, collaboration, and accuracy in handling legal work. AI technology offers significant potential for automating repetitive tasks, gaining insights from large datasets, and streamlining processes, but the vast number of tools available in the market makes selection challenging.

The law firm faces key challenges in identifying and adopting the right AI technologies:

Variety and Overlap: AI tools are available for contract analysis, eDiscovery, document drafting, legal research, and more, but selecting the most impactful ones is daunting.
Alignment with Needs: Ensuring the chosen AI tools address the firm’s specific pain points, such as global collaboration, compliance, and multi-jurisdictional complexity.
Scalability and Integration: AI tools must seamlessly integrate with existing platforms (e.g., document management systems) and scale with the firm’s growth.
User Adoption: Legal professionals may be hesitant to embrace AI-driven solutions, necessitating user-friendly options with clear training and support.

Ekamm8 provides a structured, AI-focused framework for technology selection:

1. Needs Assessment and AI-Specific Pain Points:

Conduct stakeholder interviews and workshops to identify critical use cases for AI in the firm. Example use cases:

Contract Review and Analysis: Automating the identification of key clauses, risks, and inconsistencies across thousands of contracts.
Legal Research: Using natural language processing (NLP) to quickly locate relevant case law and statutes.
Predictive Analytics: Forecasting case outcomes or litigation costs based on historical data.

2. Defining Metrics and KPIs for AI Tools:

Establish measurable success criteria, such as:
Reducing time spent on document review by 60% or more.
Improving contract accuracy and compliance checks to achieve 95% reduction in errors.
Enhancing research speed, with AI delivering case law results 80% faster than manual searches.

3. Long-List and Short-List Development:

Research and evaluate the top AI tools in the market, such as:
AI Contract Review Platforms: Tools like Sirion, Agiloft for clause extraction, risk analysis, and contract comparison.
Legal Research AI: Tools like Casetext or ROSS Intelligence, which leverage NLP to deliver relevant precedents and summaries.
eDiscovery AI: Platforms like Relativity or Everlaw for automating document review in litigation.
Narrow down to a short list based on alignment with the firm’s goals, budget, and existing infrastructure.

4. Stakeholder Engagement and Pilot Testing:

Demonstrate selected tools to key stakeholders, including legal professionals and IT teams, to ensure buy-in.
Conduct pilot projects, such as testing an AI-powered contract review tool on a subset of agreements to measure efficiency and accuracy improvements.

5. Implementation and Training:

Provide an implementation roadmap tailored to the firm’s global operations, ensuring a phased rollout that minimizes disruption.
Deliver customized training programs to increase adoption and reduce hesitation among legal professionals.

Ekamm8 helps law firms adopt AI tools tailored to its unique needs and operational maturity, achieving measurable results:

60% faster contract review, reducing the time required to analyze 1,000 contracts from 500 hours to 200 hours.
80% reduction in time spent on legal research, allowing attorneys to focus on higher-value tasks.
95% accuracy in risk identification and compliance checks, achieved through AI-driven document analysis.
Improved global collaboration through AI-enabled tools that support multiple languages and time-zone-independent workflows.
Enhanced scalability, enabling the firm to handle 50% more cases or transactions without additional staff.
Reduced reliance on external service providers for tasks like eDiscovery, saving the firm $500,000 annually.

By focusing on the adoption of AI-powered solutions, Ekamm8 not only drives immediate efficiencies but also positions the firm as a technologically advanced, globally competitive entity.

Technology Implementation – Contract Lifecycle Management

Driving CLM implementation to ensure enterprise wide adoption

The legal team has selected a sophisticated Contract Lifecycle Management (CLM) technology to streamline contract workflows and improve operational efficiency across the organization. However, the implementation process is highly complex, involving multiple stakeholders, diverse contract types, and the need to integrate with existing enterprise systems. A successful rollout requires significant preparation, including the rationalization of templates, definition of efficient processes, and alignment with business priorities.

The challenges of implementing an enterprise-wide CLM system include:

Contract Prioritization: Determining which contract types to address first and ensuring the system supports high-value and frequently used agreements.
Template Rationalization: Consolidating and standardizing contract templates to simplify drafting and ensure compliance.
Process Redesign: Developing efficient “to-be” workflows that eliminate redundancies and optimize resource allocation.
Resource and Time Constraints: Legal teams often lack the bandwidth or expertise to handle large-scale technology implementation alongside day-to-day responsibilities.
Change Management: Encouraging adoption and minimizing resistance across various departments impacted by the new system.

Ekamm8 provides end-to-end support for CLM implementation, leveraging deep expertise in enterprise and SMB-focused solutions:

1. Template Rationalization and Standardization:

Analyze existing contract templates to identify redundancies and gaps.
Develop a rationalized set of templates aligned with industry best practices and the organization’s specific needs.
Example: A global corporation consolidates 200 disparate templates into 50 standardized ones, reducing drafting time by 40%.

2. Defining Metrics and KPIs for AI Tools:

Map current (“as-is”) contract workflows to identify bottlenecks and inefficiencies.
Design future-state (“to-be”) workflows tailored to the CLM system’s capabilities, such as automated approvals, clause libraries, and AI-powered risk assessments.
Example: Automating the review and approval of NDAs reduces average turnaround time from 5 business days to 2.

3. Project Management Office (PMO) Support:

Provide a dedicated PMO team to manage timelines, budgets, and stakeholder coordination.
Ensure seamless collaboration across legal, IT, procurement, and other departments.

4. Implementation and UAT (User Acceptance Testing):

Collaborate with the vendor and internal IT teams to configure the CLM system to match the organization’s requirements.
Conduct thorough UAT to validate that workflows, templates, and integrations function as expected.

5. Change Management and Training:

Develop a structured change management strategy to encourage adoption, including:
Tailored training sessions for end-users to familiarize them with the new system.
Clear communication of benefits to address resistance and gain buy-in.
Example: Training programs designed for non-legal teams (e.g., sales or procurement) to streamline collaboration.

Ekamm8’s involvement ensures a seamless CLM implementation, delivering tangible benefits for the organization:

200 person-days of effort saved, allowing the legal team to focus on strategic priorities rather than the operational burden of implementation.
40% reduction in contract drafting time due to standardized templates and automated workflows.
30% faster contract approval cycles, enabling deals to close more quickly.
20% increase in compliance and risk mitigation, achieved through built-in approval rules and automated risk assessments.
Reduced manual workload, enabling the legal team to handle 25% more contracts annually without increasing headcount.
Enhanced collaboration across departments, with user-friendly tools reducing email back-and-forth by 50%.

By aligning the CLM implementation with the organization’s unique needs and ensuring efficient execution, Ekamm8 delivers a solution that transforms contract management into a streamlined, scalable process.

Legal Process Audit and Optimization

Reviewing processes to deliver optimized solutions

As businesses grow, the legal department often evolves into a multifaceted team with diverse skill sets and responsibilities. Over time, these teams develop a variety of processes to handle incoming requests, including triaging, fulfillment, and delivery. However, without regular reviews and updates, these processes can become fragmented or outdated, resulting in inefficiencies such as delays, redundant tasks, and misaligned resource allocation.

Legal teams face several challenges in managing and optimizing their workflows, including:

Lack of visibility into end-to-end processes, making it difficult to identify inefficiencies or bottlenecks.
Inconsistent triaging or prioritization of requests, leading to high-value tasks being delayed while lower-priority work consumes resources.
Over-reliance on manual interventions for routine or repetitive tasks, increasing the risk of errors and wasting time.
Difficulty in scaling processes to match increasing demand as the business grows.

Using the Legal Operations Strategy Framework, Ekamm8 works with your legal team to:

Mapping the ‘As-Is’ Processes

Conduct a detailed assessment of current workflows using advanced process-mapping tools to create visual representations of the entire request lifecycle.
Engage stakeholders to identify gaps, redundancies, and bottlenecks in current workflows, such as manual data entry or unclear hand-offs between teams. Example: Analysis might reveal that contract review requests are being funneled through multiple layers of approval unnecessarily, adding delays.

2. Identifying Bottlenecks and Inefficiencies

Leverage analytics to measure key performance indicators (KPIs) such as average processing time, request backlogs, and error rates.
Highlight specific issues such as lack of standardized intake forms or overdependence on email for task tracking, which can lead to missed deadlines or miscommunications.

Designing and Delivering Optimized Solutions:

Implement technological solutions to automate and streamline workflows, including:
AI-powered triaging tools to automatically prioritize incoming requests based on urgency, complexity, or strategic importance.
Contract lifecycle management (CLM) software to automate repetitive tasks like document generation and clause library lookups.
Centralized dashboards for tracking request status in real-time, enabling better resource planning and transparency.
Introduce standardized templates and workflows to reduce variability and ensure consistency across the department.
Provide tailored training for the legal team to adopt new technologies and processes, ensuring seamless implementation and sustained improvements.

Ekamm8 delivers an optimized legal process flow that transforms the department’s operations and directly impacts business outcomes. Key quantified results include:

45% reduction in processing time, reducing the average request turnaround from 22 business days to 12 business days.
30% increase in team efficiency, achieved by automating repetitive tasks and improving resource allocation.
20% reduction in operational costs, driven by lower dependency on external legal services for routine tasks.
35% improvement in SLA (service level agreement) compliance, enhancing internal and external stakeholder satisfaction.
Greater scalability, enabling the legal team to handle up to 25% more requests without additional headcount.
Enhanced visibility into workflows via real-time dashboards, empowering leadership to monitor progress, track KPIs, and identify areas for continuous improvement.

By combining cutting-edge technology with process optimization expertise, Ekamm8 not only enhances the efficiency and effectiveness of legal teams but also positions them as strategic enablers for the broader business.

Legal Operations Consulting

Turning Annual Business Strategy into a Strategy for the Legal Team

The corporation’s business goals and strategic actions evolve annually (or periodically) to adapt to changing markets, customer demands, and regulatory environments. The legal team must align its projects and priorities with these evolving goals to ensure they are not only compliant but also strategic enablers for the business.

The legal department faces difficulty in translating high-level business strategies into actionable legal projects. Key challenges include:

Identifying how legal initiatives directly impact business objectives.
Ensuring alignment between legal projects and cross-departmental goals.
Reporting the legal team’s contributions in a manner that resonates with the Executive Board’s focus on measurable business outcomes.

Using the Legal Operations Strategy Framework, Ekamm8 works with your legal team to:

Break down high-level business goals into specific legal outputs. Example: If the business goal is to expand into new markets, legal outputs might include securing local regulatory approvals, drafting agreements with local partners, and mitigating compliance risks.
Translate these legal outputs into measurable business outcomes or enablers. Example: Faster contract turnaround times enabling quicker market entry or reduced compliance risks minimizing operational disruptions.
Develop a clear roadmap for the legal department, aligning projects with broader organizational KPIs (e.g., revenue growth, risk reduction, operational efficiency).
Ensure that legal projects are tied to key performance metrics that are meaningful to both legal and business stakeholders.

Ekamm8 delivers a customized legal strategy reporting dashboard, designed to showcase the legal team’s contribution to business goals in an executive-friendly format. Key features include:

Real-time tracking of legal project progress and their alignment with business goals.
Quantified metrics such as:

20% reduction in time-to-contract for sales teams.
15% faster resolution of compliance issues in emerging markets.
$1M annual cost savings through streamlined procurement and vendor agreements.
25% improvement in legal team resource utilization, directly contributing to organizational efficiency.

A snapshot view of business outcomes enabled by legal efforts, such as accelerated market entries or mitigated regulatory risks, that can be presented to the Executive Board.
By turning legal operations into strategic business drivers, Ekamm8 empowers legal teams to not only support but also lead in achieving organizational success.

Take the First Step Toward Transformation

Whether you’re looking to streamline your legal operations, harness the power of AI, or upskill your team, EKAMM8 is here to guide you.