Reveal Organic Growth Opportunities

Create a comprehensive handbook with a dedicated page for every unique file format encountered in eDiscovery. Each page will detail how to process, view, and analyze the file type within the Reveal platform, turning technical support queries into high-intent organic traffic.

Example Keywords

• "Process .nsf file for discovery"
• "Convert cad dwg to tiff for litigation"
• "Review encrypted zip evidence"
• "Analyze kml geodata in eDiscovery"

Rationale

Litigation support technicians and legal professionals constantly search for solutions to handle obscure or difficult file formats during evidence collection. By creating the definitive guide, Reveal can capture this high-intent, bottom-of-funnel traffic at the exact moment of need, positioning its platform as the most capable solution.

Topical Authority

Reveal's core business is data processing and ingestion. The platform's internal processing logs contain proprietary data on success rates, error codes, and processing speeds for thousands of file types, providing a unique and defensible source of authority that competitors cannot replicate.

Internal Data Sources

Utilize Reveal's internal processing logs for compatibility scores and speed metrics, Brainspace analytics screenshots to visualize data, and technical support runbooks to describe special handling procedures and common pitfalls for each file format.

Estimated Number of Pages

1,000-1,200

Develop a catalog of 'prompt recipes' for specific legal review tasks, such as identifying privileged content or assessing emotional tone. Each recipe page provides the exact prompt for Reveal's Aji or other LLMs, expected output, and performance guardrails, establishing Reveal as a leader in applied legal AI.

Example Keywords

• "Prompt to detect privilege in emails"
• "LLM recipe for contract risk extraction"
• "Multilingual sentiment analysis prompt Spanish legal"
• "ChatGPT prompt for deposition summary"

Rationale

As law firms and corporate legal teams experiment with Generative AI, there is a massive and growing demand for proven, task-specific prompts. This play positions Reveal as the go-to authority for practical AI application in eDiscovery, attracting sophisticated users who are actively evaluating AI-powered tools.

Topical Authority

Reveal's development of its own Generative AI tools (like Aji) and its deep expertise in AI modeling (via Brainspace) provide unparalleled credibility. The ability to publish proprietary prompts and performance metrics establishes a strong thought leadership position in the legal tech AI space.

Internal Data Sources

Leverage Reveal's internal Aji prompt library with associated performance metrics, token usage logs to estimate costs, and internal QA team notes on hallucination mitigation and prompt refinement.

Estimated Number of Pages

800-1,000

Build the industry's most comprehensive glossary of AI, data science, and eDiscovery terminology. Each page will offer a concise definition and a practical explanation of how the concept applies to legal workflows, capturing a broad audience of educational searchers.

Example Keywords

• "Continuous multimodal learning definition"
• "What is zero-shot classification in eDiscovery"
• "Vector similarity legal review"
• "Prompt engineering for privilege detection"

Rationale

The domain already demonstrates success with definition-based keywords like 'anomaly meaning,' indicating Google views it as an authoritative source. Expanding this into a full-scale glossary will capture massive long-tail traffic from students, legal professionals, and IT managers seeking to understand complex terminology, filling the top of the marketing funnel.

Topical Authority

Reveal's product suite, which includes advanced AI models (Brainspace, Aji) and data processing tools, provides a deep well of expertise. The company's existing blog posts, whitepapers, and webinars on technical topics serve as a strong foundation of topical authority that can be expanded upon.

Internal Data Sources

Use Reveal's AI Model Library documentation, Brainspace whitepapers, Aji cost-calculator parameters, and transcripts from educational webinars and podcasts (ingested via AirOps transcription) to create rich, accurate definitions.

Estimated Number of Pages

800-1,000

Create a structured atlas of court opinions where sanctions were issued (or avoided) due to eDiscovery failures. Each page will summarize a legal precedent and feature a unique 'What Reveal Would Have Done' section, directly connecting legal risk to product solutions.

Example Keywords

• "Apple v. Samsung discovery sanctions summary"
• "Rule 37(e) spoliation case law 2023"
• "Metadata alteration sanction precedent"
• "Zubulake v. UBS Warburg summary"

Rationale

Attorneys and paralegals frequently research sanctions case law to support motions or to develop internal best practices, representing extremely high-intent search behavior. This play intercepts these users with valuable content that simultaneously educates them and demonstrates the tangible risk-mitigation value of the Reveal platform.

Topical Authority

By systematically analyzing and explaining case law, Reveal can establish itself as a legal authority, not just a technology vendor. This builds immense trust and credibility. The company's existing legal guides and webinars provide a solid starting point for this authority.

Internal Data Sources

Leverage the company's internal brief bank from in-house counsel, product documentation that highlights features like immutable audit trails and legal holds, and transcripts from the 'Unredacted' podcast discussing notable legal decisions.

Estimated Number of Pages

600-700

Expand Reveal's existing integrations page into a massive library with a dedicated static landing page for every data source the platform can connect to. Each page will detail the specific data types, collection workflow, and benefits, targeting users evaluating solutions for specific enterprise applications.

Example Keywords

• "Slack eDiscovery export tool"
• "Zoom chat discovery solution"
• "eDiscovery for Asana projects"
• "Microsoft Teams legal hold connector"

Rationale

Searches for 'eDiscovery' combined with a specific application name (e.g., 'Slack,' 'Asana') are performed by buyers with an immediate and specific technical need. Creating a comprehensive library for hundreds of applications positions Reveal as the universal solution, capturing this high-conversion traffic that competitors are neglecting.

Topical Authority

Reveal already has a section for integrations and promotes its 'no-code connectors,' giving it foundational authority. Scaling this content demonstrates a breadth of capability that reinforces market leadership and technical expertise in data collection.

Internal Data Sources

Utilize internal engineering documentation and API specifications for technical accuracy, onboarding playbooks for workflow details, and anonymized case studies showing cost savings or time-to-review improvements for specific connectors.

Estimated Number of Pages

500-600

Improvements Summary

Revise product landing pages under /product/ to target high-potential branded and feature-based keywords, improve on-page structure, and add schema markup. Expand internal linking from authoritative blog and resource pages, and introduce new content assets like comparison tables, FAQs, and a centralized product hub.

Improvements Details

Key tasks include rewriting H1s and subheaders for primary keywords such as 'Logikcull', 'Brainspace', and 'TrialDirector', embedding SoftwareApplication, Product, FAQ, and HowTo schema, and adding contextual internal links with exact-match anchors. Launch new support articles, decision-stage posts (e.g., 'Logikcull vs ***'), and downloadable PDFs, while optimizing technical performance and site architecture. Implement a site-wide 'Products' menu and create a dedicated login page for navigational queries.

Improvements Rationale

These improvements address gaps in keyword targeting, on-page experience, and internal linking that currently limit rankings to page two for core queries. By aligning content structure and schema with user intent and SERP features, the strategy aims to increase visibility, drive more qualified traffic, and improve conversion rates for product pages. Strengthening internal and external linking will also raise overall site authority and support related content.