Business Challenge

Large mixed evidentiary corpus, slow Boolean review, pleadings contaminating factual searches and protective-order constraints that ruled out public-model egress.

Mandate

Deliver a private, source-traceable review capability for deposition and trial milestones, with factual evidence separated from pleadings and privilege and production decisions remaining with counsel.

Work Addressed

Multi-source ingestion, four-tier evidence segmentation, private AI runtime with agentic retrieval, relationship mapping and source-linked outputs.

Results

42d → 2.5d review · 9.8% → 1.5% mis-tags · 640h → 192h effort · $120K → $0 SaaS spend.

01 · Business Challenge

Volume, Noise and Protective Order Constraints Limited the Review

Counsel faced a complex matter with a mixed evidentiary record of approximately 100K items. Traditional Boolean review could not clear the volume within the litigation timeline, while the mixture of source types meant allegations and legal argument could contaminate factual searches.

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02 · Counsel & Client Mandate

What Needed to Become True

Litigation counsel and the client needed a private, source-traceable e-Discovery capability for deposition and trial milestones within a fixed litigation clock and protective-order constraints.

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03 · Work Addressed

Private AI Review with Source Segmentation, Agentic Retrieval, and Counsel Control

InteliGems took direct operating responsibility for designing, configuring, and validating the review workflow, from source ingestion and classification through querying, connection mapping, and accountable return to counsel.

"InteliGems relationship mapping uncovered a pattern of communication we would have otherwise missed, which became the cornerstone of our successful motion. —Litigation Partner"
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04 · Accountable Review

Faster Review Without Transferring Legal Judgment

Private AI accelerated evidence review and source-linked drafting while counsel retained privilege, production, verification and final-use decisions.

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05 · Operating Insight

The Contamination Trap: Unsegmented Legal AI Can Turn Allegation Into Apparent Fact

When pleadings, discovery productions, testimony, and work product are retrieved as one pool, the system can return confident answers on the wrong evidentiary basis. Source segmentation made that distinction governable before results reached counsel.

Without source separation

Potential Evidence Confusion

Factual queries can retrieve opposing allegations or legal argument alongside factual records without making the difference obvious.

With source separation

Reviewable Source Context

Explicit source categories let counsel exclude pleadings from factual queries, then bring them back into scope when comparing allegations against the underlying record.

06 · Documented Evidence & Results

Review Time, Privilege Error, and Support Effort Improved Under the Controlled Workflow

Project records classify the measures below as achieved operating results from the engagement. The citation attribution measure in the mandate was an acceptance target and is not presented as an achieved result here.

42d → 2.5d

First-pass review

94% reduction in documented first-pass review time.

9.8% → 1.5%

Privilege mis-tags

85% reduction in the documented privilege mis-tag rate.

640h → 192h

Paralegal review effort

70% reduction in documented paralegal review hours.

$120K → $0

Annual SaaS spend

Documented annual software and SaaS spend removed from the review workflow.

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Litigation Work Products

Source-Linked Outputs That Supported Investigation and Trial Preparation

The value was not limited to faster retrieval. The review workflow produced structured, inspectable work products that counsel could verify against native source material and use in case preparation.

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07 · Strategic Relevance

The Real Product Is a Governed Evidence Operating System, Not Another AI Tool

The engagement shows how a litigation team can materially change the cost and time profile of high-stakes review while keeping evidentiary context, privilege, production, verification and final-use decisions under counsel control.

Documented Business Effect

The Operating Model Changed the Economics and Timing of First-Pass Review

Project records document a 94% reduction in first-pass review time, an 85% reduction in privilege mis-tags, a 70% reduction in paralegal review effort, and annual software and SaaS spend reduced from $120,000 to $0.

Those results occurred within a workflow that segmented sources by evidentiary meaning, linked material outputs back to native documents, operated within protective-order constraints, and kept legal determination with counsel.

Protect the review cost baseThe engagement reduced both support effort and annual software and SaaS spend, providing direct evidence of a lower operating cost base for first-pass review.
Create more time before fixed litigation milestonesMoving first-pass review from 42 days to 2.5 days created substantially more time for evidence verification and case preparation before deposition and trial milestones.
Keep the factual record inspectableSource segmentation and source-linked outputs preserved a direct path from material findings back to the underlying record.
Four Transferable Operating Principles

What Firm Leadership Can Apply to Other High-Accountability Evidence Work

01 · Set the decision, deadline, and evidence standard before choosing technologyDefine the review objective, deadline, source requirements, and evidence needed for accountable use before evaluating the model or tool.
02 · Segment sources by evidentiary meaning before retrievalFacts, testimony, allegations, and work product require different context and review treatment from the first query.
03 · Automate retrieval and synthesis; keep legal determination with counselAI can retrieve, organize, and draft against controlled sources. Privilege, production, verification, and final use remain with accountable counsel.
04 · Add governed capability without unnecessary platform replacementThe historical implementation layered private AI over existing storage and review environments rather than requiring wholesale replacement.

Bring the mandate

When important decisions need operating experience, get principal-led support.