Managed Review, Powered by People and Relativity aiR
Reduce review cost without surrendering judgment.
Trustpoint.One combines Relativity aiR Review with experienced managed review teams in a hybrid workflow designed to accelerate first-pass review, concentrate attorney attention where it matters, and create a documented path from criteria through validation and quality control.
The pressure is not simply to review faster. It is to make better decisions under tighter constraints.
Document volume is outpacing budget
Use analytics and aiR Review to focus human review on higher-value populations, exceptions, privilege, ambiguity, and quality control.
Deadlines leave no room for a slow ramp
Combine scalable review teams, dedicated management, and AI-assisted analysis in one coordinated delivery model.
AI output still needs a defensible record
Attorney-developed criteria, independent validation, sampling, exception handling, and versioned documentation keep judgment in the workflow.
Let aiR analyze at scale. Let attorneys decide what the matter requires.
Relativity aiR Review
Applies natural-language prompt criteria to extracted document text and returns predictions, explanations, and document citations. It can support prioritization, first-pass review, early matter insight, investigations, incoming-production analysis, and quality control.
Trustpoint.One Managed Review
Experienced attorneys and review leaders frame criteria, assess edge cases, validate results, manage privilege and confidentiality decisions, conduct QC, document the process, and keep the workflow aligned to counsel’s objectives.
A measured workflow, not a black box
Assess and reduce
Define objectives, deadlines, risk, data populations, and appropriate analytics or culling before AI analysis.
Develop and iterate criteria
Subject-matter attorneys create and refine written prompt criteria against representative documents and known coding decisions.
Validate independently
Experienced reviewers code a separate sample without seeing AI predictions. The team evaluates agreed performance measures and revises when required.
Apply the hybrid review model
aiR Review analyzes the scoped population while attorneys address borderline documents, exceptions, privilege, confidentiality, sensitive content, and matter-specific judgment.
Quality control and document
Targeted QC, sampling, escalation review, reporting, and retained criteria versions support a clear record of what was done and why.
Choose the review model that fits the risk
AI-forward hybrid
For matters where validated aiR predictions can handle defined first-pass decisions and attorneys focus on exceptions and higher-risk calls.
Human review with AI prioritization
For matters where reviewers make coding decisions and aiR helps identify important documents, organize queues, or provide a second view.
Traditional review with AI quality control
For workflows that require linear human review but can benefit from comparison against aiR predictions to identify potential inconsistencies.
Built for matters where cost, speed, and judgment all matter
Second Requests
Scale quickly, manage aggressive deadlines, and concentrate experienced review attention on privilege and complex responsiveness decisions.
Investigations
Surface important documents and issues earlier while reviewers validate context and follow developing fact patterns.
Pharmaceutical and ANDA matters
Pair technology-assisted analysis with reviewers able to navigate scientific, regulatory, and industry-specific content.
Employment matters
Accelerate early assessment while maintaining careful human review of sensitive communications and contextual decisions.
Incoming productions
Use aiR and review teams to find key material, identify gaps, and route important documents to the case team sooner.
Privilege and confidentiality
Use AI-assisted signals and attorney review to focus judgment on protected, sensitive, and high-consequence content.
Facing a large review population or an aggressive deadline?
Start with a practical assessment of the data, timeline, decision points, and where a hybrid aiR and attorney workflow can create the most value.