The Challenge
Linear Review Doesn't Fit Modern Matters
Contract reviewers reading document-by-document at $50/hour can't keep up with today's data volumes or timelines — and the inconsistency between reviewers creates its own defensibility risk.
Blown Budgets
Linear review costs scale linearly with volume — the exact wrong shape for modern matters.
Inconsistent Calls
Different reviewers make different calls on identical documents. Privilege and hot doc consistency suffer.
Delayed Insight
You don't know what's in the data until review is nearly done — too late to shape strategy.
Our Approach
AI Under Senior Attorney Supervision
Human-in-the-loop workflows that combine AI speed with attorney judgment and defensibility.
1
Protocol Design
Senior attorneys build the review protocol, coding taxonomy and privilege rules with counsel.
2
Model Training
Seed review, control sets and iterative training rounds with statistical validation.
3
Continuous Learning
CAL model prioritises the most likely relevant documents in real time as reviewers work.
4
QC & Delivery
Multi-layer QC, elusion testing and full defensibility documentation for the record.
Capabilities
Modern AI Meets Litigation-Grade Discipline
The full toolkit — deployed only where it's defensible.
TAR 2.0 / CAL
Continuous active learning with statistical validation and elusion testing.
LLM-Assisted Review
Large language models for summarisation, timeline construction and issue coding — never for privilege calls alone.
Concept & Clustering
Unsupervised clustering to surface themes, custodian patterns and hidden hot document families.
Privilege Detection
Multi-model privilege screening with attorney review of every produced call.
Managed Review Teams
US-based, attorney-supervised review teams available where human review is still required.
Live Metrics
Real-time recall, precision and reviewer consistency dashboards for counsel and GC.
Linear vs AI-Assisted
A Different Economics for Document Review
Aspect
Traditional
Celeric + AI
Documents / hour
40–60 per reviewer
10× via CAL prioritisation
Consistency
Reviewer-dependent
Model-enforced consistency
Cost profile
Linear with volume
Sub-linear via culling and TAR
Insight timing
End of review
From day one
Defensibility
Reviewer notes
Sampled, documented, validated
Why Celeric
Faster, Cheaper, More Consistent
60–80% Faster Review
CAL prioritises the documents that matter, so reviewers spend time on relevance not sorting.
Higher Consistency
Model-enforced coding standards reduce the variability that undermines privilege and hot doc calls.
Early Case Assessment Built In
Understand your case within days of processing — before committing to full review.
Defensibility Documented
Every model round, sample, elusion test and QC pass logged and reportable.
Who Uses It
AI Review for High-Volume, High-Stakes Matters
Deployed where budgets are tight, deadlines are tighter, and consistency is non-negotiable.
Law Firms
eDiscovery Built for How Modern Law Firms Actually Work
Corporate Legal
Bring Investigations In-House Without Ballooning Costs
Financial Services
Speed, Scale and Security for Regulated Financial Institutions
Healthcare
HIPAA-Aware Discovery for Healthcare and Life Sciences
Insurance
Discovery That Understands Claims, Coverage and Complex Litigation
70%
Avg. Cost Reduction
10×
Faster Prioritisation
95%+
Recall Achieved
100%
Privilege Validation
FAQ