Legal departments are facing a growing volume of documents as litigation, regulatory investigations and corporate matters generate increasingly large datasets. The challenge is no longer only finding information, but processing it quickly enough while maintaining control over sensitive data and ensuring that decisions can be defended.
That is creating space for artificial intelligence to take on some of the repetitive work traditionally performed during eDiscovery and document review.
Altorney is among the companies approaching that problem with generative AI. The legal technology company has developed MARC, an AI powered review engine designed to analyze and categorize documents before they reach a traditional hosted review environment.
The company says the system can evaluate documents for relevance, responsiveness, privilege, personally identifiable information, protected health information, confidentiality and other legal categories.
Moving first pass review closer to the data
Traditional first level review can require legal teams to process large amounts of electronically stored information before attorneys can focus on the material that requires greater judgment.
Altorney’s approach is to move part of that work earlier in the workflow. MARC can operate within a customer’s own environment, analyzing documents before they are uploaded to a hosted review platform.
That architecture is designed to reduce the amount of data that eventually reaches the conventional review stage while allowing organizations to maintain greater control over sensitive information. The company says MARC is available both on premise and as SaaS, depending on a customer’s security and operational requirements.
For Altorney, the objective is not simply to process more documents. Its platform is designed to determine which information deserves attention before legal teams spend time reviewing it.
Combining AI with human legal judgment
The company is also positioning AI as part of a broader legal review workflow rather than as a standalone replacement for legal professionals.
Altorney was founded by brothers Rachi and Shimmy Messing and operates two complementary platforms. MARC provides AI powered document analysis, while the company’s legal talent platform allows law firms, alternative legal service providers and corporate legal departments to source and manage document reviewers.
The two systems can be used independently or together, according to the company.
That model reflects a broader change taking place in legal technology. AI can handle large volumes of information and identify patterns, but legal teams still need people to validate results, interpret the significance of documents and make decisions that require professional judgment.
Altorney says one Fortune 500 customer tested MARC on a matter involving approximately 200,000 documents and reported a 62% reduction in review costs, a 78% reduction in hosting costs and an 86% faster turnaround.
The company has also added ISO/IEC 27001 certification to its existing SOC 2 Type II compliance, addressing security requirements associated with handling sensitive legal information.
As legal teams adopt AI, the challenge is increasingly moving beyond whether the technology can summarize or classify documents. The more consequential question is where AI can be introduced into a workflow without weakening data control, defensibility or human oversight.
For Altorney, that means using GenAI earlier in the review process, before document volumes become a bottleneck for the people ultimately responsible for understanding the case.
