AI for eDiscovery Specialists

What you do today

Set up technology-assisted review, train the model with seed sets, validate recall and precision, manage the continuous active learning process

AI that applies

Continuous active learning (CAL) improves on traditional TAR by learning continuously from each reviewer decision, requiring less seed set management

How it works

The system ingests each reviewer decision as its primary data source. The processing layer applies the appropriate analytical models to the structured data, generating scored outputs that surface the most actionable insights. The results integrate into the practitioner's existing workflow — presenting recommendations, flags, or automated outputs alongside their normal working context.

What you do today

Issue legal holds, track custodian acknowledgments, monitor preservation compliance, manage hold releases when matters resolve

AI that applies

AI automates hold issuance, tracks acknowledgments, identifies new custodians who should be on hold, and monitors data source preservation

How it works

The system ingests acknowledgments as its primary data source. The processing layer applies the appropriate analytical models to the structured data, generating scored outputs that surface the most actionable insights. The results integrate into the practitioner's existing workflow — presenting recommendations, flags, or automated outputs alongside their normal working context.

What you do today

Configure review workspaces, build coding panels, manage reviewer access, monitor review progress and quality metrics

AI that applies

AI monitors reviewer consistency, identifies coding outliers, and optimizes workflow routing to balance quality and speed

How it works

The system ingests reviewer consistency as its primary data source. The processing layer applies the appropriate analytical models to the structured data, generating scored outputs that surface the most actionable insights. The results integrate into the practitioner's existing workflow — presenting recommendations, flags, or automated outputs alongside their normal working context.

What you do today

Generate metrics on review progress, prepare declarations on search methodology, support attorneys with technical testimony about eDiscovery processes

AI that applies

AI generates comprehensive statistical reports on TAR performance, review metrics, and search methodology defensibility

How it works

For prepare for and support court hearings on discovery, the system draws on the relevant operational data and applies the appropriate analytical models. The analytics engine aggregates data across sources, applies statistical analysis to identify significant patterns and outliers, and presents the results through visualizations that highlight what needs attention. The output — comprehensive statistical reports on TAR performance — surfaces in the existing workflow where the practitioner can review and act on it.

What you do today

Identify custodians, map data sources, conduct forensic collections from email, cloud, mobile, and collaboration platforms

AI that applies

AI assists with data mapping, identifies additional data sources based on communication patterns, and automates collection from cloud platforms

How it works

The system ingests communication patterns as its primary data source. The processing layer applies the appropriate analytical models to the structured data, generating scored outputs that surface the most actionable insights. The output is a recommended plan or schedule that accounts for the identified constraints and optimization criteria.

What you do today

Deduplicate, filter, and process collected data — load into Relativity or Everlaw for review team, manage hosting and access

AI that applies

AI-assisted processing auto-detects file types, extracts metadata, identifies near-duplicates, and suggests culling strategies

How it works

For process and load data into review platform, the system identifies near-duplicates. The processing layer applies the appropriate analytical models to the structured data, generating scored outputs that surface the most actionable insights. The results integrate into the practitioner's existing workflow — presenting recommendations, flags, or automated outputs alongside their normal working context.

What you do today

Build email communication maps, timelines, concept clusters — help case team understand millions of documents through visual analysis

AI that applies

AI-generated analytics automatically cluster documents by topic, map communication networks, and identify key custodians and time periods

How it works

For create analytics and visualizations for case team, the system draws on the relevant operational data and applies the appropriate analytical models. The analytics engine aggregates data across sources, applies statistical analysis to identify significant patterns and outliers, and presents the results through visualizations that highlight what needs attention. The results integrate into the practitioner's existing workflow — presenting recommendations, flags, or automated outputs alongside their normal working context.

What you do today

Coordinate privilege review, manage privilege log generation, ensure consistent privilege designations across review teams

AI that applies

AI identifies potentially privileged documents (attorney names, law firm domains, legal terminology) and auto-generates privilege log entries

How it works

For manage privilege review and logging, the system identifies potentially privileged documents (attorney names. The processing layer applies the appropriate analytical models to the structured data, generating scored outputs that surface the most actionable insights. The output — privilege log entries — surfaces in the existing workflow where the practitioner can review and act on it.

What you do today

Generate production sets in required format (TIFF, native, PDF), apply redactions, bates stamp, create load files per specifications

AI that applies

AI validates productions for completeness, catches redaction errors, and ensures production specifications are met before delivery

How it works

For produce documents to opposing counsel, the system draws on the relevant operational data and applies the appropriate analytical models. The processing layer applies the appropriate analytical models to the structured data, generating scored outputs that surface the most actionable insights. The results integrate into the practitioner's existing workflow — presenting recommendations, flags, or automated outputs alongside their normal working context.

What you do today

Assess new eDiscovery tools, manage platform upgrades, train teams on technology, and drive efficiency improvements in the litigation support workflow

AI that applies

AI itself is the primary technology you evaluate — new review tools, analytics capabilities, and automation features emerge constantly

How it works

The system reads contract text and legal documents, extracting clauses, obligations, and risk indicators. The processing layer applies the appropriate analytical models to the structured data, generating scored outputs that surface the most actionable insights. The results integrate into the practitioner's existing workflow — presenting recommendations, flags, or automated outputs alongside their normal working context.