Privilege at Speed: How Generative AI and the Client Brain Save Time and Money

Every second counts and you’re already behind about a million of them. The volume of data involved in discovery projects is enormous (and climbing), and review teams can easily lose hours repeating work that’s already been done. That’s where the Client Brain in Relativity’s aiR for Privilege makes a real difference, by carrying knowledge forward, cutting down on redundant effort, and keeping costs under control.

What Is the Client Brain?

The Client Brain stores past decisions made on Domains (Amazon.com), Equivalent Domains (Amazon.com or AWS.com), and Entities (people communicating) within a specific client. Think of it as your client-specific memory bank: once a reviewer has made a call on an item in one project, that decision is saved and automatically applied the next time that same item appears in another matter tied to the same client.

For example, if a reviewer classifies “John Smith” as a Legal Role entity in one matter, the Client Brain will recognize John Smith in future matters for the same client and pre-populate that decision. The reviewer sees the source tag (Client Brain) and retains full control to confirm or override it.

How It Saves Time

  • Eliminates Repeat Work – Reviewers don’t have to re-annotate the same domains or entities across projects. Decisions are carried forward, reducing manual effort.
  • Accelerates Annotation – With pre-populated annotations, reviewers can move through new projects faster, focusing only on novel items.
  • Drives Consistency – Applying the same decisions across multiple matters ensures reliable inputs for the AI, which strengthens the accuracy of privilege predictions.

How It Saves Money

  • Fewer Review Hours – Less repetitive annotation directly translates into fewer billed hours and lower costs for clients.
  • Reduced Risk of Errors – Consistency minimizes mistakes that could lead to rework, sanctions, or additional expenses later.
  • Better Use of Resources – Legal teams can spend more time strategizing and less time duplicating administrative tasks.

Transparency and Control

Importantly, the Client Brain doesn’t lock teams into past decisions. Each decision clearly marked with Client Brain, giving reviewers transparency into where it came from. If circumstances change, they can always override it.

The Bottom Line

The Client Brain empowers law firms and corporate legal departments to work smarter, not harder. By remembering what’s already been decided and applying that knowledge across matters, it delivers faster, more consistent, and more cost-effective privilege reviews.

When time and money are on the line, leveraging the Client Brain isn’t just helpful, it’s essential!

The Hidden Cost of Inconsistent Privilege Logs

Privilege logs are often considered one of the most tedious parts of discovery. They’re repetitive, time-consuming, costly and seemingly straightforward. A list of documents withheld on the basis of attorney-client privilege or work product protection. But beneath their mundane appearance, privilege logs can be a minefield. Inconsistent or vague descriptions don’t just waste reviewer time; they expose legal teams to unnecessary disputes, increase costs, and weaken defensibility.

This article explores the hidden cost of inconsistent privilege logs, why uniformity matters, and how aiR for Privilege, Relativity’s generative AI solution, helps legal teams create consistent, defensible logs at scale.

The Problem: Inconsistency in Privilege Log Descriptions

Every privilege log entry must balance two competing demands: provide enough detail to justify the privilege claim, while not disclosing the very privileged substance being protected. Achieving this balance requires consistency — the same types of documents should be described in the same way, using language that is clear, neutral, and defensible.

Yet in practice, privilege logs often lack this consistency. Why?

  • Human subjectivity. Different reviewers, even within the same team, may describe similar emails in different ways. One might write “Legal advice from counsel regarding contract negotiation,” while another says “Attorney’s comments on draft agreement.”
  • Volume pressure. When teams are under the gun to produce logs quickly, descriptions get rushed and sloppy. Shortcuts, abbreviations, and vague wording creep in.
  • Limited oversight. Privilege review projects can be massive. Supervising attorneys can’t practically check thousands of entries for consistency.

The result? Privilege logs filled with inconsistent, duplicative, or unclear descriptions.

The Hidden Costs of Inconsistency

At first glance, inconsistent privilege logs might seem like a minor annoyance. But the ripple effects extend far beyond formatting.

1. Slower Review and Quality Control

Inconsistent logs make internal quality checks significantly harder. Supervising attorneys must spend time re-reviewing and cleaning up entries. Instead of focusing on substantive privilege calls, senior lawyers are forced into editorial roles that are checking for uniformity in phrasing rather than strategic oversight.

Every edit adds delay. In matters with tens of thousands of privilege log entries, small inefficiencies compound into days or weeks of lost time.

2. Defensibility Risks

Privilege claims are only as strong as their descriptions. If logs show inconsistent or vague reasoning, opposing counsel is more likely to challenge and often scrutinize privilege logs for sufficiency, looking for patterns that suggest over-designation or lack of care.

For example, if one entry describes “Legal advice regarding merger negotiations” while another for a nearly identical document says “Business communication about deal terms,” the inconsistency invites doubt. A judge may conclude that the review team applied privilege unevenly, undermining credibility.

Worse still, inadequate descriptions can lead to waiver of privilege. If a court finds a log deficient, the protected information could be ordered produced. That risk alone makes consistency a matter of defensibility, not just efficiency.

3. Opposing Counsel Frustration

Privilege logs are often the battleground for discovery disputes. When entries are inconsistent or unclear, opposing counsel will almost inevitably challenge them. This leads to meet-and-confers, motion practice, and sometimes even judicial intervention. All of which increase costs and delay proceedings.

Consider the difference between receiving a log with 5,000 entries where each description is standardized and clear, versus one where every entry is phrased differently, some vague, some detailed. Opposing counsel reviewing the latter is far more likely to object, escalating conflict rather than resolving it.

4. Increased Costs for Clients

The inefficiencies and disputes caused by inconsistent privilege logs translate directly into higher costs. Extra attorney hours are spent editing logs, defending privilege claims, and negotiating with opposing counsel.

For corporate legal departments already under pressure to control spend, paying outside counsel for “log cleanup” or privilege fights is not a good use of resources. Inconsistent logs don’t just frustrate lawyers; they frustrate clients footing the bill.

The Solution: Consistency Through aiR for Privilege

Enter aiR for Privilege, Relativity’s generative AI solution built specifically for privilege review. Designed to work alongside human reviewers, aiR enforces consistency across privilege log descriptions by leveraging prior selections, client knowledge, and AI-driven standardization.

Here’s how it helps.

1. Client Brain Memory

aiR for Privilege draws on the Client Brain which is a knowledge layer that stores prior decisions made for the client across matters (law firm and entity decisions

This eliminates reinvention of the wheel and ensures consistency not only within one matter, but across a client’s entire portfolio of cases.

2. Uniform Privilege Log Descriptions

aiR for Privilege automatically creates draft log descriptions for all documents predicted as privileged. Each entry is tailored to the content of the document using insights from the aiR pipeline, while following a consistent, standardized format. Descriptions typically include three parts:

  • Document type– describes the format of the document (e.g., email, spreadsheet, draft letter)
  • Type of legal action- forming the basis for privilege (e.g., providing or requesting legal advice)
  • Subject matter– summarizes the discussion topic without disclosing the privileged advice.

Please note that that the draft privilege log descriptions are based on the extracted text of the four corners of the document.

3. Quality Control at Scale

Because aiR is generating consistent privilege logs, this reduces burden, freeing senior lawyers to focus on substantive calls rather than stylistic consistency.

4. Time and Cost Savings

Consistent privilege log descriptions generated by aiR reduce the time spent on cleanup, minimize disputes, and avoid unnecessary motion practice. That translates directly into savings for clients.

5. Defensibility and Credibility

Perhaps most importantly, consistent logs strengthen defensibility. When every entry follows a clear, uniform standard, opposing counsel has less room to argue over sufficiency. Judges are more likely to view the log as credible and well-maintained.

aiR doesn’t replace human oversight, but it enhances credibility by enforcing the kind of discipline that manual review teams struggle to maintain at scale.

A Real-World Example

Imagine two privilege logs, both covering 10,000 withheld emails.

  • Log A (Traditional Review):
    Multiple reviewers draft entries without standardization. Descriptions vary widely: Email from lawyer re deal, Confidential communication about M&A, Attorney advice on acquisition. Legal team spends 40+ hours editing. Opposing counsel challenges 500 entries for vagueness. Motions follow, adding another 50-100+ hours of attorney time.
  • Log B (aiR-Assisted Review):
    aiR applies consistent descriptions and Client Brain knowledge. All entries follow a uniform format: Email containing legal advice regarding [M&A transaction]. Legal team review and making minor edits. Opposing counsel reviews but raises no formal challenges.

The difference in time, cost, and defensibility is stark.

Beyond Efficiency: Shaping the Future of Privilege Logs

Privilege logs may never be glamorous, but they don’t have to be a headache. With generative AI, they can evolve from a necessary evil into a streamlined, defensible workflow. Consistency isn’t just about neat formatting, it’s about building trust in the discovery process, reducing disputes, and protecting privilege.

As courts continue to demand higher standards for privilege logs, and as clients push for efficiency, adopting tools like aiR for Privilege becomes more than a competitive advantage. It’s a necessity.

Conclusion: Consistency Is Power

The hidden cost of inconsistent privilege logs is real: slower reviews, defensibility risks, frustrated opposing counsel, and higher client bills. Legal teams that overlook this cost do so at their peril.

aiR for Privilege offers a smarter path forward. By enforcing uniformity through generative AI, it helps legal teams:

  • Save time by reducing manual cleanup.
  • Reduce disputes by providing clear, consistent entries.
  • Strengthen defensibility in the eyes of courts.
  • Deliver cost savings and predictability for clients.

At the end of the day, privilege review is about protecting clients while upholding fairness in discovery. Consistency is the key and with aiR for Privilege, consistency is no longer a burden.

Page One, Inc. helps legal teams adopt solutions like aiR for Privilege to make privilege logs faster, cleaner, and more defensible. If your team is ready to reduce disputes, control costs, and modernize privilege review, we’re here to help.

Case Study: 24-Hour Mobile Data Collection from Request to Production

The Challenge: Fast, Targeted Mobile Collections

Early one morning, a top Am Law 200 firm faced a high-pressure deadline. They needed to collect, process, review, and produce mobile data from four custodians within 24-hours. The scope was narrow: a specific date range, text messages ensuring the speed of collection and privacy of custodians data.

The Solution: Page One + ModeOne in Action

Within minutes of the request, a Page One technician joined the call with the custodians and legal team. Using the ModeOne platform, collections began immediately with no shipping its, no waiting for devices to be sent off, and no extended downtime for custodians.  Within hours, all collections were complete, enabling the legal team to begin review and production the same day.

The Outcome: Speed Without Disruption

Mobile data was collected quickly, precisely, and without interrupting custodians’ access to their devices. The targeted text messages were exported in Relativity Short Message Format (RSMF), reviewed, and prepared for production within the 24-hour window. Page One’s streamlined workflows and rapid turnaround allowed the legal team to meet their deadline with confidence and accuracy.

Page One + Top Am Law 200 Firm – More Powerful Together. 

Don’t Chase Words, Find Meaning

Traditional keyword searching is inherently limited. Attorneys have to guess at the right terms, anticipate nicknames, acronyms, and code words, and then spend hours sorting through irrelevant material that simply happens to contain those terms. This approach increases the risk of missing critical documents while also driving up review costs. In high-stakes litigation, neither overproduction nor inadvertent omission is defensible.

Relativity’s aiR for Review changes this by reviewing documents in context. By supplying a matter overview, lists of key people and aliases, organizations, noteworthy terms, and clear relevance criteria, you effectively brief the AI like you would an associate. It then applies that knowledge across the entire dataset, identifying relevant material even when the magic words never appear.

The result is a review process that is both more efficient and more defensible. Instead of delivering a bloated keyword hit list, AI narrows the review set to documents that actually meet the case criteria. That translates to lower client costs, faster timelines, and reduced litigation risk, all while maintaining consistency and quality across the review. In a competitive environment where clients demand efficiency and precision, AI review offers a strategic advantage over legacy keyword searching.

At Page One, we know that moving from keyword guesswork to AI-powered context can feel like a big shift, but it’s one that delivers measurable advantages in efficiency, accuracy, and defensibility. Our team has the expertise to help you design workflows, set the right criteria, and get the most out of Relativity’s aiR for Review. If you’re ready to explore how generative AI can transform your document review, we’d love to start the conversation. After all, when it comes to your matters and your clients, we’re always More Powerful Together.

Smarter, Faster, More Targeted Review

Keyword searches force reviewers to work with guesswork. You start with a long list of words and variations, only to discover that many documents are irrelevant false positives, while others slip through because the right terms weren’t anticipated. This slows review down and makes it harder to focus on the material that actually matters.

Relativity’s aiR for Review changes that by letting you brief the system on your case. You provide a matter overview, identify people and their aliases, list important organizations and terms, and outline the criteria for relevance. With that framework, the AI doesn’t just look for words, it interprets documents in context, recognizing when the deal means your client’s merger or when the CFO refers to the right individual.

That means the AI surfaces more of the “hidden gems” that keyword searching misses, while filtering out noise. As a reviewer, you spend less time digging through irrelevant hits and more time focusing on the documents that are truly important to your case. It’s a smarter, faster, and more targeted way to review, freeing you up to concentrate on strategy rather than mechanics.

At Page One, we know that moving from keyword guesswork to AI-powered context can feel like a big shift, but it’s one that delivers measurable advantages in efficiency, accuracy, and defensibility. Our team has the expertise to help you design workflows, set the right criteria, and get the most out of Relativity’s aiR for Review. If you’re ready to explore how generative AI can transform your document review, we’d love to start the conversation. After all, when it comes to your matters and your clients, we’re always More Powerful Together.

From Keywords to Context: Enhancing Review with Fresh aiR

Opposing parties will often agree to search terms and a date range to define the initial review population. This step remains important for setting common ground, ensuring transparency, and creating a defensible baseline for what will be collected and reviewed. However, search terms alone often cast a wide net, pulling in many irrelevant documents while still risking missed material if phrasing differs.

That’s where Reativity’s aiR for Review can be layered on as the next step in the workflow. Once the agreed-upon search term and date range set is established, teams should leverage aiR for Review. By providing a matter overview, lists of key people and aliases, organizations, important terms, and relevance criteria, the review team equips the AI with the context it needs to evaluate the documents more intelligently than keywords alone. In short, search terms open the door, but aiR shows you the room.

This combined workflow offers the best of both worlds. Search terms provide a defensible, mutually agreed-upon starting point, while aiR for Review brings efficiency and accuracy by filtering, ranking, and prioritizing within that population. Attorneys can quickly surface the most relevant documents, reduce time spent on false positives, and strengthen quality and consistency across the review.

The result is a workflow that’s collaborative, efficient, and defensible: parties agree to a traditional collection method, but the review team gains the benefit of generative AI to make sense of the data faster and with greater precision.

At Page One, we know that moving from keyword guesswork to AI-powered context can feel like a big shift, but it’s one that delivers measurable advantages in efficiency, accuracy, and defensibility. Our team has the expertise to help you design workflows, set the right criteria, and get the most out of Relativity’s aiR for Review. If you’re ready to explore how generative AI can transform your document review, we’d love to start the conversation. After all, when it comes to your matters and your clients, we’re always More Powerful Together.

Decoding Relationships: When “James” Isn’t Just James

Picture this: You’re deep in a document set and come across an email that says, “I talked to James, and he said we should move forward.”

On its face, this looks harmless. But who is James? If James is general counsel, the statement could reflect privileged legal advice. If James is a business manager, it may just be routine corporate chatter. Without more context, even seasoned reviewers might struggle to make the right privilege call.

The Hidden Complexity of Names

Privilege review depends on more than words, it hinges on relationships. People are referenced in many ways: nicknames, misspellings, personal emails, or shorthand identifiers. An attorney might appear in the data as Jim Smith, J. Smith, Smitty (Go Birds!), or “James@lawfirm.com.” Without the ability to connect those variations, privileged communications risk being overlooked.

Even worse, first names alone can be misleading. Think of a dataset with three different James. One a senior counsel, one a project manager, and one a vendor. If the AI or reviewer assumes the wrong James, the privilege call could go in the wrong direction.

Why Traditional Methods Fall Short

Keyword searching is powerless against this kind of nuance. A search for “attorney” or “privileged” won’t capture a casual reference to “James.” Manual review helps, but it’s slow, expensive, and still subject to human error. And when datasets run into the millions of documents, relying solely on humans to untangle these identities becomes impractical.

How AI Connects the Dots

This is where Relativity’s aiR for Privilege brings real value. By combining natural language processing, generative AI, and social network analysis, the system does more than read words on a page. It:

  • Maps Identities Across Aliases: Variations like “Sarah Wilson,” “S. Wilson,” and “swils@gmail.com” are resolved to a single attorney profile.
  • Analyzes Communication Patterns: AI recognizes who tends to communicate with whom, and whether those individuals typically act in legal or business roles.
  • Builds Contextual Profiles: It uses metadata, email domains, and even extracted signatures to determine whether someone is acting as counsel.

The Result: Better Privilege Calls

With AI decoding these relationships, attorneys reviewing documents get a clearer picture of who’s who. They can focus on confirming privilege calls rather than hunting down aliases or guessing identities. That means fewer mistakes, faster review, and stronger defensibility if privilege determinations are ever challenged.

Why It Matters

Privilege review has always been about context and context often lives outside the document itself. By helping attorneys see beyond the four corners of an email or memo, AI ensures that “James” isn’t just another James, but the right James. In the high-stakes world of litigation, that distinction can make all the difference.

How Page One Helps

At Page One, Inc., we don’t just provide the technology, we partner with you to make privilege review manageable, defensible, and efficient leveraging the best of breed technology partners like Relativity. With our experience across complex matters, we ensure that aiR for Privilege delivers maximum value for your team.

Ready to simplify privilege review? Reach out to Page One today to see how we can help you move faster, reduce risk, and protect what matters most. More Powerful Together.

Why Privilege Review Is So Hard and How AI Can Help

Privilege review has long been one of the most time-consuming and stressful parts of discovery. Attorneys know that a single misstep, producing a privileged document or over-redacting, can change the course of a case. Despite years of refinement, the traditional approach to privilege review remains cumbersome, expensive, and risky.

Why It’s So Difficult

Privilege review is about context. Determining whether a document is privileged isn’t just about spotting the word “attorney” or scanning for legalese. It often requires piecing together relationships, understanding roles, and interpreting subtle nuances in communication.

Some of the biggest challenges include:

  • Incomplete Attorney Lists: No matter how diligent your team is, it’s nearly impossible to maintain a complete, up-to-date list of every lawyer, assistant, or paralegal who might appear in a dataset. Miss one, and you risk missing documents in a privilege screen.
  • Dual Hats: In-house counsel often wear both business and legal hats. Legal advice is privileged; business advice is not. Sorting the two could feel like splitting hairs.
  • Drafts vs. Finals: Draft agreements are privileged, but once they’re finalized and sent to opposing counsel, they’re not. Without context, distinguishing between the two can be tricky.
  • Clawbacks: Accidentally disclosing a privileged document can be disastrous. Even if clawed back, opposing counsel has already seen it.

The Limits of Traditional Methods

Traditionally, privilege review starts with search terms and attorney lists. Contract reviewers flag potential documents, and senior attorneys make final privilege calls. This iterative process works, but it’s slow, costly, and still prone to human error. And while keyword searches capture plenty, they also drag in junk: disclaimers, spam, or references to “legal” in entirely non-privileged contexts.

How AI Changes the Equation

This is where tools like Relativity’s aiR for Privilege offer a game-changing approach. Instead of relying solely on keywords, AI examines the bigger picture:

  • Contextual Analysis: AI interprets language in context, distinguishing between “legal entity name” and “I talked to legal about the contract.”
  • Relationship Mapping: By analyzing communication networks, email domains, and aliases, AI can recognize when “Mike” is really attorney Michael Smith, even if he shows up with multiple nicknames or email addresses.
  • Consistency Across Matters: AI learns from prior projects using the brain, so privilege determinations become more consistent across cases.

The Payoff

Attorneys remain the final decision-makers, but with AI support (not Allen Iverson or his lethal crossover), they’re not starting from scratch. AI narrows the universe of potentially privileged documents, helps reduce false positives, and generates defensible rationales for each call. The result is less wasted time, lower costs, and fewer sleepless nights worrying about inadvertent disclosure.

Privilege review will always be high stakes, but with the right technology, it doesn’t have to be quite so painful.

How Page One Helps

At Page One, Inc., we don’t just provide the technology, we partner with you to make privilege review manageable, defensible, and efficient leveraging the best of breed technology partners like Relativity. With our experience across complex matters, we ensure that aiR for Privilege delivers maximum value for your team.

Ready to simplify privilege review? Reach out to Page One today to see how we can help you move faster, reduce risk, and protect what matters most. More Powerful Together.

How AI is Transforming the Legal Landscape

Artificial intelligence is quickly becoming a game-changer in the legal industry. At the Relativity West Coast AI Bootcamp earlier this year, industry experts discussed how law firms are shifting away from traditional, time-consuming tasks to more value-added strategic thinking. With AI tools handling document review and other repetitive processes, attorneys can focus on deeper client relationships, creative problem-solving, and yes, potentially enjoy a well-deserved vacation without falling behind on workload. 

Yet as promising as these new technologies are, they don’t replace human judgment. AI lacks fatigue, can manage vast amounts of data without blinking, and offers consistent output. But that consistency also underlines the importance of thoughtful human review. Whether it’s a lawyer finalizing an AI-generated brief or verifying privilege determinations, it remains crucial to have trained professionals providing oversight. In fact, the ability to use AI effectively makes emotional intelligence, empathy, and strong communication skills stand out even more. 

Perhaps most exciting is the fact that AI is expanding career paths within the legal field. Jobs that didn’t exist a few years ago, like “legal AI specialist” or “prompt engineer” are emerging to help law firms unlock the full power of AI. This trend may well accelerate the move away from the billable-hour model, opening doors to flexible fee arrangements that align better with the value delivered. Ultimately, as AI takes on the monotony of routine legal work, lawyers can invest in the uniquely human elements, building relationships and crafting creative strategies that make the practice of law truly impactful. 

What is your favorite AI job title for the future?