AI Document Review

Our AI-powered document review platform adapts to your specific litigation strategy and processes volumes from thousands to millions of pages. The system applies customized logic to tag documents according to your taxonomy and case theories.

Capabilities

Custom Logic

Boolean conditions, threshold parameters, and contextual analysis patterns. Branching logic where subsequent questions depend on earlier findings.

Case-Specific Taxonomies

Categories addressing dispute themes, chronological milestones, participant roles, financial elements, and procedural status markers.

Scale

Processes collections from thousands to millions of pages. Parallel processing supports concurrent analysis streams.

Quality Control

Precision and recall tracking, human-in-the-loop sampling, and rule refinement based on attorney feedback.

Example Queries

The system supports questions like:

"Tag all documents containing monetary amounts equal to or exceeding $X, or falling within the range of $X to $Y."
"Collect correspondence mentioning specified individuals and email domains into designated review folders for priority analysis."
"When contracts contain limitation-of-liability clauses, query for related amendments and capture execution dates."
"For medical records, flag instances where hemoglobin levels dropped by X percent or more within Y days."
"Identify document versions containing conflicting signature dates or inconsistent party information."
"Mark documents as 'possible privilege' when containing terms like 'legal advice,' 'privileged,' or addressing known attorney email domains."

Typical Use Cases

Antitrust and commercial litigation: pricing communications, market allocation, competitive intelligence

Internal investigations: policy violations, financial irregularities, regulatory compliance

Medical malpractice: treatment timelines, diagnostic protocols, care standard documentation

Intellectual property: technology tutorials, claim construction, prior art references

Compliance audits: regulatory requirements, corporate governance documentation

Employment disputes: communications, policy documents, personnel records

Output and Delivery

Results export in multiple formats including structured data files, narrative reports, load files for downstream platforms, and interactive dashboards. Integration capabilities support major e-discovery platforms when required.

Getting Started

To begin a pilot project:

Prepare a preliminary logic outline reflecting your case theories and information needs
Compile a list of available data sources and formats
Identify a representative document subset for initial testing
Schedule a call to discuss your specific requirements

Projects typically begin with pilot phases using limited document sets to validate logic and refine parameters before full-scale deployment.