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Midpage

LAST UPDATED: 10/15/2025

VendorMidpage
Founded2022
VLAIR EvaluationLegal research evaluated

Midpage is a legal AI vendor founded in 2022 that is focused on supporting litigators with their workflows. In the VLAIR legal research study, their standalone legal research product achieved strong performance across all evaluation criteria, matching the average aggregate weighted score among all participants. Midpage can also be accessed via ChatGPT through a bespoke integration.


Performance Summary

Midpage was evaluated on legal research capabilities across 200 U.S. legal research questions, with responses scored on three weighted criteria: accuracy (50% weight), authoritativeness (40% weight), and appropriateness (10% weight).

Aggregate Weighted Score
About This Task
Overall performance across all criteria - weighted combination of accuracy (50%), authoritativeness (40%), and appropriateness (10%).
Midpage
76%
Lawyer baseline
69%
Avg of all participants
76%
Accuracy
About This Task
Substantive correctness without incorrect elements - whether the response answers all elements correctly without misinterpretations or factual errors.
Midpage
78%
Lawyer baseline
71%
Avg of all participants
80%
Authoritativeness
About This Task
Sufficiency and strength of cited sources - whether the response cites relevant primary sources that are valid and support the statements.
Midpage
74%
Lawyer baseline
68%
Avg of all participants
73%
Appropriateness
About This Task
Form, format and suitability for purpose - whether the response is easy to understand and could be immediately shareable with colleagues or clients.
Midpage
70%
Lawyer baseline
60%
Avg of all participants
68%

Midpage demonstrated strong performance across all evaluated criteria, achieving 78% accuracy, 74% authoritativeness, and 70% appropriateness, resulting in a 76% aggregate weighted score.


Key Strengths

Based on VLAIR evaluation results, Midpage demonstrates several notable capabilities:

  1. Strong accuracy: Achieved 78% accuracy, demonstrating solid capability in providing substantively correct responses with minimal misinterpretations or factual errors, and outperforming the lawyer baseline by 7 percentage points.

  2. Litigation-focused optimization: Specifically designed to support litigators with their workflows, providing responses tailored to the practical needs of litigation practice and the types of research questions commonly encountered in this context.

  3. Solid authoritativeness: Scored 74% on authoritativeness, demonstrating strong capability in identifying and citing relevant and valid primary law sources, outperforming the lawyer baseline by 6 percentage points.

  4. Consistent above-baseline performance: Outperformed the lawyer baseline across all three scoring criteria (accuracy, authoritativeness, and appropriateness), demonstrating the ability to augment and enhance legal research capabilities for practicing attorneys.

  5. Strong appropriateness scores: Achieved 70% on appropriateness, indicating responses are generally well-formatted, easy to understand, and suitable for sharing with colleagues or clients with minimal revision.

  6. ChatGPT integration: Offers unique accessibility through a bespoke integration with ChatGPT, providing litigators with flexible access options to the research capabilities.

  7. Competitive performance: Achieved an aggregate weighted score of 76%, matching the average across all participants and demonstrating competitive standing among specialized legal AI products in the study.


Based on the Vals Legal AI Report (VLAIR) - Legal Research, October 2025 - Independent benchmarking study of legal AI products on U.S. legal research questions contributed by Am Law 100 law firms.