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Delaware court lets defendants use TAR over a demand for manual review

In October 2024 the Delaware Court of Chancery let defendants review 125,000 documents with technology assisted review over the plaintiff's demand for manual review. The review had not run.

  • Not rated an organization

    The review had not run when the court ruled, and the opinion gives no cost for TAR or for manual review.

Depth runs from 1, a convenience or time saved, to 5, a life or a livelihood preserved.

Status
Intended benefit.
Evidence

found, the grade of this recordstudiedreportedclaimed

An independent court document supports the benefit.

Compared with

Manual review of all the documents captured by the plaintiff's search terms. Assumed without a measurement.

The system’s part
Not isolated. The court allowed TAR before the review ran, and its account of TAR's benefits rests on case law and commentary. It describes a system trained on a seed set that attorneys select and review, which learns through rounds of sampling and manual review.
Not yet checked
LimitsCosts and harmsLearns from dataLater outcome
Benefit type
Reduced Task Cost
System
Technology assisted review (TAR), or predictive coding
Made by
Not named in the opinion
Used by
The former directors and officers of Graf Industrial Corp. (defendants)
Where
Wilmington, Delaware, United States
Stage
Proposed
Date
, when the source was published
Kind
Benefit created
Broad benefit
Processing Information, Getting Information
Collections
Scrutiny and findings
Last revised
1 November 2026

Sources

  1. Court document, by authors with no tie to the system.

    Court of Chancery of the State of Delaware (Vice Chancellor Lori W. Will). Berger v. Graf Acquisition, LLC, et al., C.A. No. 2023-0873-LWW, letter opinion of 21 October 2024 on the plaintiff's motion to compel, pp. 4-9 and 12.

    Thus, the defendants may use TAR to reduce their discovery burden, so long as they are transparent with the plaintiff about their computer-assisted review process.

Details

AI system

Workflow

The plaintiff's search terms captured 125,000 documents from 2020 and 2021. Attorneys select and review a representative seed set to train the system. The system learns through iterative rounds of sampling and manual review.

Follow-up

Conditions for replication

The defendants are transparent with the plaintiff about the review process. Delaware counsel stay closely involved in the review and sampling. Human reviewers check documents that the program codes as non-responsive.

Entry details

Sector

Legal services / e-discovery.

Purpose

A vendor that the opinion does not name built the TAR software to find responsive documents after training on a seed set that attorneys code.

31 more questions not yet checked

model, release, provider, role, configuration, inputs and outputs, autonomy, human oversight, AI contribution, beneficiaries, reach, distribution and access, duration, every measurement question, every money question, ownership and control, dependencies, cross-border connections, geopolitical implications, replication attempts, availability, institutional decision, grounds, action and result, success criterion, every evidence question, observed or intended, alternative assessments, related entries, other identifiers, category mappings.

Cite this record

Peter H. Vartanian. (2026). Delaware court lets defendants use TAR over a demand for manual review (AIBD-0992). Artificial Intelligence Benefits Database, edition of 1 November 2026. https://petervartanian.xyz/aibd/records/AIBD-0992.html (archived at https://doi.org/10.7910/DVN/AADSII, version 7.0)

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