Machine Learning and Artificial Intelligence
Gemean employs a team of data scientists to assist our clients in complex matters. By thinking outside of the box, we have found that some legal processes can be supplemented by the accurate use of artificial intelligence. Any process that can identify an appropriate training set that the artificial intelligence model can learn from can be automated. Tasks such as contract standardization, database investigation to identify fraud, asset identification and tracking, social media investigation, etc. are all candidates for advanced analytics and artificial intelligence. Gemean’s data science team also allows us to integrate these processes into our hosting solutions if needed.
Contract Standardization
Large volumes of contracts present significant analytical and operational challenges, particularly in transactions, investigations, and compliance reviews where the terms, obligations, and risk provisions across a contract portfolio need to be understood quickly and accurately. Gemean's machine learning capabilities automate the identification, extraction, and standardization of key contract data, significantly reducing the time and cost of contract review without compromising accuracy.
Fraud Detection and Database Investigation
Fraud patterns are rarely visible in individual transactions. They emerge across large volumes of data over time. Gemean's forensic data mining services and machine learning capabilities allow us to analyze large databases for the patterns, anomalies, and relationships that indicate fraudulent activity, surfacing evidence that conventional review methods would not identify. Our financial forensic investigation team applies these tools in support of fraud investigations, regulatory matters, and internal reviews.
Asset Identification and Tracking
Identifying and tracking assets across complex financial structures, multiple jurisdictions, and digital environments requires analytical capabilities that go beyond what manual review can deliver. Gemean applies machine learning and artificial intelligence tools to asset identification and tracking engagements, integrating these capabilities with our broader forensic data mining services to produce faster, more comprehensive results.
Social Media Investigation
Social media data is an increasingly important source of evidence in litigation, investigations, and regulatory matters. Gemean's data science team applies advanced analytical techniques to social media data, identifying relevant content, mapping relationships between individuals and entities, and surfacing patterns of activity that are significant to the matter being investigated.
Process Automation and Integration
Any process that can be defined by an appropriate training set is a candidate for automation through artificial intelligence. Gemean identifies the legal, investigative, and operational processes where AI can genuinely improve outcomes, builds the models needed to automate them, and integrates those capabilities into our hosting solutions and broader analytical frameworks where the matter requires it.
AI-Assisted Document Review
Document review is one of the most resource-intensive processes in litigation and investigation support. Gemean's e-discovery data analytics and machine learning capabilities significantly accelerate the review process by training AI models to identify relevant, privileged, and significant documents within large datasets, reducing the volume that requires human review without reducing the quality or defensibility of the result.
TESTIMONIAL
Gemean understood the legal context as well as the forensic one. They knew what the regulators would focus on, what outside counsel needed, and how to structure the findings to serve both. That combination is not easy to find.
Why Clients Choose Us
Investigative AI Expertise
Defensible Methodology
Seamless Process Integration
Faster, More Thorough Analysis
Artificial intelligence delivers results when it is applied
by professionals who understand the stakes
How does Gemean use artificial intelligence in legal and investigative matters?
Gemean applies artificial intelligence and machine learning to processes where they can genuinely improve speed, thoroughness, and accuracy without compromising defensibility. This includes contract standardization, fraud detection, asset identification and tracking, social media investigation, and AI-assisted document review. In every application, our data scientists ensure that the models are appropriately trained, the methodology is documented, and the results meet the evidentiary standards required by the matter.
What makes Gemean's approach to AI different from standard AI-assisted review tools?
Standard AI-assisted review tools apply generic models to any dataset regardless of context. Gemean’s approach begins with identifying the right training set for the specific matter, building and validating models that are appropriate to the data environment and the analytical objectives, and applying those models under the oversight of experienced professionals who understand both the technology and the legal context. The result is analysis that is faster and more reliable than generic tools and more defensible in legal and regulatory proceedings.
What is a training set and why does it matter in AI-assisted analysis?
A training set is the body of data used to teach an AI model to recognize patterns, make classifications, or perform other analytical tasks. The quality and relevance of the training set determines the accuracy and reliability of the model’s output. Gemean’s data scientists work closely with legal counsel and subject matter experts to ensure that training sets are appropriate to the specific matter, the data environment, and the analytical objectives before a model is deployed.
How does Gemean use machine learning for fraud detection?
Gemean’s forensic data mining services and machine learning capabilities allow us to analyze large databases for the patterns, anomalies, and relationships that indicate fraudulent activity across time and across large volumes of transactions. Our financial forensic investigation team applies these tools in combination with traditional forensic accounting techniques to produce fraud detection analysis that is both technically sophisticated and legally defensible.
Can AI-assisted document review be used in eDiscovery matters?
Yes. Gemean’s e-discovery data analytics and machine learning capabilities are specifically designed to support eDiscovery document review. We train AI models to identify relevant, privileged, and significant documents within large datasets, significantly reducing the volume that requires human review. The process is documented and validated to ensure that the results meet the defensibility standards required in litigation and regulatory proceedings.
How does Gemean integrate AI capabilities into its broader analytical and hosting solutions?
Gemean’s data science team works alongside our ediscovery hosting services and analytical professionals to integrate AI and machine learning capabilities directly into the platforms and workflows used to manage complex matters. This integration allows AI-assisted analysis to operate within the same secure, documented environment as the rest of the engagement, ensuring consistency, defensibility, and efficiency across the full scope of the matter.
How does Gemean ensure that AI-assisted analysis is defensible in legal proceedings?
Defensibility in AI-assisted analysis depends on three things: an appropriate training set, a documented methodology, and experienced oversight. Gemean ensures all three. Our data scientists document every step of the model development and deployment process, validate results against human review to confirm accuracy, and work under the direction of legal counsel to ensure that the methodology meets the evidentiary standards required by the matter. The goal is analysis that is faster and more thorough than conventional approaches without being any less defensible.