Business challenge

Forensic firm Martin Geyer saw natural language processing (NLP) as a way to break the bottleneck of sifting through evidence and putting together pieces that makes a case.


Litigation support firms could dream about cognitive forensic content analysis before; now it’s real and making Martin Geyer stand out.


Up to 50% reduction

in the forensic document analysis cycle

Reduced labor costs

associated with manual document analysis

Speeds legal proceedings

by eliminating the manual document analysis bottleneck

Business challenge story

Large volume of evidence creates bottleneck

Martin Geyer is a firm whose specialty includes the forensic analysis of documents, often in support of due diligence or litigation. This aspect of its business can be thought of as containing two sequential functions. The first is the gathering and sifting of large amounts of text information, drawn from just about any imaginable document type—filings, emails, internal correspondence and many more—that may contain pertinent information. It is through this first segment, which has traditionally been very labor-intensive and consequently time-consuming and costly, that the company identifies and sets aside documents that include relevant evidence. The second function is what customers really pay for: assembling the information into a structure or narrative that helps prove a point, such as whether a group of companies has engaged in price-fixing. Martin Geyer saw that its highly manual document review process not only wasn’t a core competency but actually represented a bottleneck. The company believed that by automating this process, it could substantially reduce both the time and cost required to execute it. From a competitive standpoint, automating its more clerical functions would enable it to focus more of its skilled resources on the higher value core of the business.

“Applying cognitive computing technology to forensic document analysis enabled us to take a huge step up from the competition.”

—Martin Geyer, Chief Executive Officer, Martin Geyer

Transformation story

Cognitive forensic content analysis

Martin Geyer engaged IBM Premier Business Partner BIConcepts IT Consulting GmbH to deploy a cognitive content analysis and investigation tool. The solution ingests data from multiple formats into a corpus of knowledge. The fact that the solution enables users to define their own categories allows the model to closely reflect the parameters of the case. Natural language processing (NLP) algorithms conduct semantic searches for text patterns. The core function of the solution is to identify instances within documents that correspond to user-defined parameters. In the case of a price-fixing search, the solution can find all documents related to the topic of prices even if only numbers, currency codes or expressions, such as “best price guarantee,” appear. Moreover, a discount agreement—a red flag in such a case—will be discovered even if the word “discount” is not explicitly mentioned, but percentages and rebates are discussed. By identifying and flagging high-relevancy documents, the solution guides investigative specialists to where the evidence is to help them more quickly and efficiently build the case.

Results story

Efficiency significantly improved

Martin Geyer significantly improved the efficiency and accuracy with which it can review complex legal documents. The company reduced its review process by up to 50 percent compared to its previous manual process, along with commensurate reductions in the costs associated with these searches. The solution also reduced the delays that typify complex legal proceedings, which often hinge on finding information embedded in huge volumes of documentation. In addition to faster resolution of legal cases, the solution makes it easy to apply cognitive insights to future cases, further strengthening the firm’s business case.

The solution is game-changing for the company because it fundamentally alters its strategic core competency: that is, its ability to piece together complicated fragments of evidence, gleaned from huge volumes of unstructured data, to support legal proceedings. Large-scale cognitive forensic analysis instantly shifts the company’s resource focuses toward the more sophisticated analyses of relevant documents, conducted by experts.

Previously, the company relied on as many as 20 assistants to read all the documents and flag them as relevant or irrelevant. Only when relevant documents were flagged and set aside did the experts step in to conduct more detailed analysis. The new system automates and dramatically compresses the initial forensic analysis cycle.

The solution represents a system of cognitive discovery because it applies NLP algorithms to understand the semantic context of a wide range of unstructured, text-based legal documentation and correspondence.

About Martin Geyer

Martin Geyer, formerly known as Business Valuation Gutachten- & Unternehmensberatung GmbH, is a business and management consultancy company based in Vienna, Austria, with an additional office in Kufstein, Austria. The company provides professional support, including expert opinions, forensic accounting, security and risk management, corporate governance and compliance, corporate intelligence and due diligence, litigation support and cybersecurity. The firm has approximately 25 employees and serves customers in an array of fields.