HKA Data & Advanced Analytics Practice

Defensible insight from complex data

Complex disputes and investigations often depend on data that was never designed for litigation. The information may sit across multiple systems, parties, formats, and jurisdictions. It may be incomplete, duplicated, inconsistently coded, or produced in forms that are difficult to analyze, such as PDFs, images, spreadsheets, audit logs, accounting records, transactional databases, timekeeping records, emails, collaboration platforms, or other digital sources.

Our role is to make that data usable, reliable, and meaningful. We work with legal teams, corporate clients, government agencies, insurers, and other stakeholders to identify the relevant information, assess its quality, build defensible analytical models, and present conclusions in a way that connects the data to the issues in dispute.

Why HKA

Our teams include digital forensic specialists, forensic accountants, damages experts, and testifying experts who understand how complex data must be reliable, defensible, and capable of withstanding scrutiny in high-stakes matters.

We help clients move from fragmented information to defensible insight, enabling them to understand the facts, quantify exposure, test assumptions, explain complex findings, and support effective resolution.

Working across many industry sectors, we bring analytical, technical, financial, and sector expertise to the unique challenges of each engagement.

Anonymized selected experience

Analyzed claimed damages exceeding $1 billion in a matter involving complex sales, customer, pricing, and contractual data. The work included building database models, testing alternative discount calculations, assessing product comparability, and presenting analysis in a formal legal proceeding.
Built analytical models to assess ownership, transaction activity, and collateral records in a large financial dispute involving hundreds of thousands of assets, millions of transaction records, and thousands of supporting files.
Assessed labor substantiation issues on a major infrastructure and construction project by analyzing time, access, location, assignment, and billing data from multiple systems. The analysis helped demonstrate weaknesses in the claimed damages approach.
Developed database models for a class action matter involving millions of individual records, including analysis of movements, assignments, applicable jurisdictions, and settlement distribution issues.
Analyzed millions of technical activity logs in a trade secrets dispute, correlating access, modification, and user activity across multiple systems to identify potential misuse, contamination, or unauthorized activity.
Reviewed cloud-based audit logs and other system data in a matter involving alleged data misuse, including analysis of file activity, transfers, collaboration activity, and user behavior across digital environments.
Aggregated and analyzed large volumes of sales, distribution, and location-based data in a regulatory matter to assess activity across restricted or regulated territories.

Where data and advanced analytics add value

We apply data and advanced analytics across complex disputes, investigations, claims, and regulatory matters, helping clients make sense of large, fragmented, or inconsistent data sets. Our experience includes damages analysis, class actions, contractual and regulatory compliance, insurance claims, government contracting, settlement distributions, supply chain analysis, financial investigations, and wage and hour matters.

Our experience includes matters involving:

Class actions, settlement distributions, and wage and hour disputes.
Damages analysis, insurance claims, and recovery.
Contractual, regulatory, and government contracting issues.
Manufacturing, supply chain, product, and warranty claims.
Financial investigations, transaction analysis, and complex asset records.

How we can help you

We support clients from identifying and collecting relevant information to validating, structuring, analyzing, and explaining complex datasets in a defensible way.

Across the data lifecycle

Gathering

We help clients understand the data available across systems, develop targeted information requests, collect material from a wide range of digital environments, and recover, secure, or reconstruct information that may be incomplete, missing, or difficult to use.

Validation

We test and validate data before and after production, using control totals, record counts, duplicate checks, reconciliation procedures, and other tailored methods to confirm that data has been captured, transferred, imported, and analyzed accurately.

Aggregation

We standardize and combine data from disparate sources, including information produced by different parties, systems, or reporting processes. Where records do not align naturally, we develop structured approaches to link the data, preserve traceability, and establish a reliable basis for analysis.

Analysis

We design and build analytical models to assess damages, liability, causation, compliance, anomalies, transaction flows, labor charging, settlement distributions, class issues, and other case-specific questions. Our models are designed to be flexible, allowing clients and counsel to test scenarios, interrogate assumptions, and respond quickly as matters evolve. Our analyses are designed to be transparent, traceable, and capable of withstanding challenge in litigation, arbitration, investigations, and regulatory proceedings.

Technical and expert-led capability

HKA’s data and analytics specialists combine technical expertise in data science, programming, business intelligence, statistical analysis, and digital tools with deep experience supporting disputes, investigations, regulatory matters, and damages assessments.

Working alongside HKA’s Digital Forensics, Forensic Accounting, Forensic Engineering, and other expert services, we provide integrated support for complex matters where data quality, evidential reliability, and expert insight are critical.

Our capabilities include advanced SQL and Python programming, machine learning and AI-assisted analytics, statistical analysis using R, SAS, and other specialist tools, data visualization through Power BI, Tableau, and custom dashboards, and large-scale data processing using cloud-native and big data technologies, applied in the context of disputes, investigations, damages, and regulatory matters.

Experience across high-stakes matters

Our team has analyzed datasets ranging from individual spreadsheets to structured databases containing hundreds of millions, and in some cases more than one billion, records. We have supported matters involving class actions, damages assessments, consumer claims, government contracting, regulatory compliance, insurance claims, manufacturing and supply chains, financial instruments, settlement distributions, labor and employment issues, trade secret disputes, and complex construction projects.

Gathering

We help clients understand the data available across systems, develop targeted information requests, collect material from a wide range of digital environments, and recover, secure, or reconstruct information that may be incomplete, missing, or difficult to use.

Validation

We test and validate data before and after production, using control totals, record counts, duplicate checks, reconciliation procedures, and other tailored methods to confirm that data has been captured, transferred, imported, and analyzed accurately.

Aggregation

We standardize and combine data from disparate sources, including information produced by different parties, systems, or reporting processes. Where records do not align naturally, we develop structured approaches to link the data, preserve traceability, and establish a reliable basis for analysis.

Analysis

We design and build analytical models to assess damages, liability, causation, compliance, anomalies, transaction flows, labor charging, settlement distributions, class issues, and other case-specific questions. Our models are designed to be flexible, allowing clients and counsel to test scenarios, interrogate assumptions, and respond quickly as matters evolve. Our analyses are designed to be transparent, traceable, and capable of withstanding challenge in litigation, arbitration, investigations, and regulatory proceedings.

HKA’s data and analytics specialists combine technical expertise in data science, programming, business intelligence, statistical analysis, and digital tools with deep experience supporting disputes, investigations, regulatory matters, and damages assessments.

Working alongside HKA’s Digital Forensics, Forensic Accounting, Forensic Engineering, and other expert services, we provide integrated support for complex matters where data quality, evidential reliability, and expert insight are critical.

Our capabilities include advanced SQL and Python programming, machine learning and AI-assisted analytics, statistical analysis using R, SAS, and other specialist tools, data visualization through Power BI, Tableau, and custom dashboards, and large-scale data processing using cloud-native and big data technologies, applied in the context of disputes, investigations, damages, and regulatory matters.

Our team has analyzed datasets ranging from individual spreadsheets to structured databases containing hundreds of millions, and in some cases more than one billion, records. We have supported matters involving class actions, damages assessments, consumer claims, government contracting, regulatory compliance, insurance claims, manufacturing and supply chains, financial instruments, settlement distributions, labor and employment issues, trade secret disputes, and complex construction projects.