AGENTIC EDISCOVERY
Start eDiscovery With the Facts, Not a Guess
Agentic AI combs through your entire eDiscovery collection, reports the facts, runs a first-pass review explaining every call, and validates the process. Court-ready defensibility, at a fraction of the time and cost.
THE SERVIENT APPROACH
Understand the Case Before the First Document is Coded
Servient runs eDiscovery as an agentic workflow. The agent investigates the collection and learns what the matter is actually about, so every relevance call rests on the evidence itself. You understand your case from the start, not months into review.
That speed never costs you defensibility. Once the investigation is done, the agent runs the rest of eDiscovery the way the field already does, following the established, court-accepted process that meets ESI protocols. The process is familiar to any litigator and built to stand up in court, but it runs in a fraction of the time without an army of contract reviewers.
The real test of AI-Native eDiscovery is simple. Does it begin by understanding the evidence, or by guessing at a prompt?
Examine the Evidence. Get a Memo of Cited Facts.
The investigation returns a fact memorandum written in plain language, citing the document behind every finding. To build it, the agent searches, classifies and analyzes the collection, finding documents no one knew to look for. It reads like a memo from a trusted associate, but it covers the entire eDiscovery collection and arrives in hours.
Because it's an agent, it's accountable. It plans its approach, follows each promising line of inquiry, and records what it searched, the tools it used, and how it reached each conclusion. That's the audit trail eDiscovery has always demanded, built as the work happens instead of reconstructed after a challenge.
Pinpoint Key Evidence.
Find what matters in a massive collection, without a lawyer drafting a single query.
Find the Unknown.
The hot document you'd never have known to search for, found before it surprises you.
Bring Counsel In Early.
Senior counsel meets the facts at the start, while there's still time to shape strategy. The human-in-the-loop moment that counts most.
A Memo for Every Issue, Not Just a Relevance Call
For two decades, eDiscovery has reduced every document to one determinative question. Is it relevant? Not because a case turns on a single question, but because scale and cost left no room for more. Reviewing for every factual and legal issue across hundreds of thousands of documents was never affordable, so issue tagging stayed shallow and relevance was the primary focus.
An agent isn't bound by that limit. It investigates each issue in the matter on its own terms and returns a separate, cited fact memo for each issue. Relevance becomes an aggregate of the documents that bear on the real issues, with the record showing which issue each document speaks to.
Lawyers think in issues, not in responsive tags. So the agent builds a narrative for each issue, the events in date order, the key people tracked through them, every fact cited to its source. When a new issue comes up later, the agent builds that narrative too, without losing what the earlier work found.
Every Issue, Equal Depth.
No budget decides which issues get investigated. Each factual and legal issue is worked to the same depth and written up on its own.
Relevance You Can Explain.
Every call traces to the issue that makes a document matter, and the basis of the decision is explained.
Adapt as Issues Emerge.
A new theory triggers a fresh pass over the full collection, and every earlier finding stays in place.
The Review That Took Months, Done in Hours
First-pass review is the single largest expense in eDiscovery, a market measured in the billions, run by teams of reviewers for months at a fixed human pace. Servient's agentic review does it in hours, more accurately, and with a defensible record, because it runs as a structured analysis that checks and improves its own work as it goes.
And it starts from a strong foundation. The fact memo and counsel-approved documents from the investigation phase give the agents validated examples to work from, all settled before the first relevance call.
HOW IT RUNS
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1
Build the Review Manual.
The agent turns the investigation report into a form lawyers are familiar with, with relevance criteria, inclusions, exclusions, and worked examples. The supervising attorney refines and approves the review manual prior to the review.
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2
Estimate Prevalence.
The agent draws a random sample to estimate how rich the collection is and how many relevant documents to expect.
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3
Score the Full Collection.
Using continuous active learning as a tool, it scores every document in minutes, then picks what to review next by need, not by chance.
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4
Read and Record Reasons.
Sub-agents read each document and record the call, the reason behind it, the issues it touches, and the key facts, cited to the source.
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5
Check Its Own Work.
The eDiscovery agent samples its sub-agents' calls, tests them against the criteria, and corrects what drifts. This reflection loop is what separates an agent from a prompt run once.
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6
Keep Counsel in the Loop.
The agent reports its reasoning as the review runs, showing how it judges relevance and the examples behind its calls. Counsel reviews that basis and gives feedback on the relevance judgments, refining the criteria and guiding the agent.
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7
Validate the Result.
As the review nears completion, the agent sets a production threshold and estimates recall and precision with a confidence interval. A defensible stopping point, not an arbitrary one.
The Deliverable. You end with a package counsel can act on. It includes the final review manual, the tagged production set, recall and precision estimates, a validation sample ready to confirm, and a set of per-issue fact memos enriched with everything the review discovered.
Day One.
A cited fact memo lands before the first relevance call.
Months to Hours.
First-pass review that once took teams of reviewers months, run by the agent.
100% Cited and Explained.
Every finding and every call traced to its document, in plain language.
A Fraction of the Cost.
The full review at a fraction of what manual review costs.
Defensibility Engineered Into the Process, Not Asserted After the Fact
Defensibility isn't a score you're handed. Servient engineers it into the work. The agentic review follows the same court-accepted process a human review does, and it builds the proof as the work happens rather than reconstructing it after a challenge. Court supervision and ESI protocols demand a validated, auditable process, and that is exactly what counsel gets to certify the review and stand behind it.
Transparent by Design.
Every document the agent reviews carries a plain-language explanation of the decision, open for counsel to inspect.
A Complete Audit Trail.
The record builds itself as the work happens, ready the moment it's needed.
Statistical Validation.
The review is measured for recall and precision with confidence intervals, so counsel can defensibly call it done.
Scale Without the "Token Tax"
A large matter can run to millions of files, and most are clearly irrelevant. Running every one through a frontier model is the computational version of asking a review team to read every page, and it carries the cost to match. Servient spends its effort where judgment is actually needed.
The agent groups the documents by their probability of relevance and brings the right technology to each. The most capable models go to the documents that call for real judgment, while faster, lighter methods handle the clearer ones. The agent keeps iterating until the review is both cost-efficient and defensible. Sometimes that means one model, sometimes another, sometimes a classifier, but it stays a single iterative, agentic process. Every routing decision is recorded.
The Right Model for Each Job.
High-volume work goes to Servient's legal-domain model, and frontier reasoning is reserved for the documents that earn it. That's what makes agentic eDiscovery work at scale.
Iterative and Self‑Correcting.
The agent samples its own calls, validates them, and keeps re-scoring as it learns, so relevant documents are identified even among those that first scored low. It runs as an agentic flow rather than a single prompt.
Local Models for Sensitive Data.
Route your most sensitive material to a model running under your own control.
THE FOUNDATION
Reimagined Around the Agent. Faithful to Every eDiscovery Industry Standard.
eDiscovery has spent twenty years hardening exacting standards, from forensic handling, data processing and ESI protocols to production that meets industry specifications. The established eDiscovery platforms meet them, while the general legal-AI platforms claiming to "cover eDiscovery" fall short. Servient meets these standards in full, on a processing and workflow engine refined for over two decades.
That foundation is what makes agentic review trustworthy, because a relevance call is only as good as the authenticity of the document the agent reviews. What sets Servient apart is what it built on that foundation. The established platforms added AI as a feature on top of software built for human reviewers. Servient took the opposite path, engineering an agentic AI platform from the ground up on its mature eDiscovery processing and workflow engine.
Anyone can wrap a frontier model API. Meeting twenty years of nuanced eDiscovery standards inside a platform built for agentic eDiscovery is the rare part.
Every Format, Including Modern Messaging.
Documents, email, audio, video, and the formats litigation now turns on, like Microsoft Teams and Slack. Servient reconstructs conversations into reviewable form, extracts embedded objects, and preserves the threads and family relationships that hold the evidence together. It even resolves modern attachments, pulling in the document behind a SharePoint or cloud link so nothing referenced goes missing.
Forensic Collection and Culling.
Connect straight to Microsoft 365 and other cloud sources and collect the data forensically, accounting for every file and logging every exception. Integrated ECA reduces what reaches review, with the keyword auditing that keeps culling defensible.
Privilege, Privacy, and Confidentiality.
Identify privileged material and generate privilege logs, redact private content, and enforce protective orders like Attorneys' Eyes Only with the right confidentiality branding. Every step is auditable, as eDiscovery requires.
Production to Spec.
Industry-standard load files, images, Bates numbering, and litigation and regulatory templates, so the receiving side loads exactly what you send.
From a few GBs to several terabytes, the engine scales itself and imports millions of documents per hour, hitting the deadlines litigation runs on. Every file is accounted for end to end, so the integrity of what you produce is provable.
BEYOND EDISCOVERY
The Evidence You Develop Powers the Entire Matter
A collection holds more than a responsive set. It holds the facts and the proof your strategy rests on. As Servient reviews, it organizes the evidence by issue, so the per-issue fact memos and the record behind them feed every later stage. Each stage runs as its own agentic workflow on that evidence, already organized the way you'll argue the case. That's the difference between one workspace and five disconnected islands of AI.
