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 genuinely improve speed, thoroughness, and accuracy without compromising defensibility. This includes contract standardization, forensic accounting and fraud investigations, asset tracing and identification, social media investigation, and AI Doc Review. In every application, Gemean’s data scientists ensure models are appropriately trained, methodology is documented, and results meet the evidentiary standards the matter requires. Gemean’s AI investigations and AI driven investigation capabilities are integrated across its ediscovery services, forensic accounting investigations, and digital forensics and investigations practice.
What makes Gemean's approach to AI different from standard AI-assisted review tools?
Standard AI Doc 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 appropriate to the data environment and analytical objectives, and applying those models under experienced professional oversight. The result is AI driven investigation analysis that is faster, more reliable, and more defensible in legal and regulatory proceedings than generic tools, and that integrates directly into Gemean’s managed ediscovery service and enterprise ediscovery services workflows.
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 training sets are appropriate to the specific matter before any AI investigations or AI Doc Review model is deployed, consistent with the evidentiary standards Gemean’s ediscovery forensics experts and forensic accounting consultants apply across all engagements.
How does Gemean use machine learning for fraud detection?
Gemean’s forensic data mining and machine learning capabilities allow analysis of large databases for patterns, anomalies, and relationships indicating fraudulent activity across time and large volumes of transactions. Gemean’s financial forensic investigation team applies these AI driven investigation tools in combination with traditional forensic accounting and investigation techniques to produce forensic accounting and fraud investigation analysis that is both technically sophisticated and legally defensible.
Can AI-assisted document review be used in eDiscovery matters?
Yes. Gemean’s eDiscovery data analytics and AI Doc Review capabilities through PythAI are specifically designed to support eDiscovery services document review. Gemean trains AI models to identify relevant, privileged, and significant documents within large datasets, significantly reducing the volume requiring human review. The process is documented and validated to meet the defensibility standards required in litigation and regulatory proceedings, consistent with Gemean’s managed document review services and enterprise ediscovery services standards.
How does Gemean integrate AI capabilities into its broader analytical and hosting solutions?
Gemean’s data science team works alongside its ediscovery hosting and analytical professionals to integrate AI investigations and machine learning capabilities directly into the platforms and workflows used to manage complex matters. PythAI operates within the same secure, documented environment as the rest of the engagement, ensuring that AI-driven investigation analysis is consistent, defensible, and efficient across the full scope of the matter, whether that involves forensic accounting audit and investigation, managed ediscovery service, or digital forensics and investigations work.
How does Gemean ensure that AI-assisted analysis is defensible in legal proceedings?
Defensibility in AI investigations depends on three things: an appropriate training set, a documented methodology, and experienced oversight. Gemean ensures all three. Gemean’s data scientists document every step of model development and deployment, validate results against human review to confirm accuracy, and work under the direction of legal counsel to ensure methodology meets evidentiary standards. The goal is AI-driven investigation analysis that is faster and more thorough than conventional approaches without being any less defensible, whether the matter involves AI Doc Review, forensic accounting investigations, or digital forensic investigations.