A&M’s Digital Twin service operationalizes corporate compliance programs and measurably demonstrates compliance effectiveness in line with regulators' expectations. Our end-to-end regulatory and compliance intelligence service gives chief investigators, legal and compliance professionals the ability to drive better business transparency with increased agility, in turn, driving better business performance, cost savings and integrity.
Anti-bribery and anti-corruption Digital Twin addresses the legal and compliance risks in companies' financial data bringing better transparency into:
- Sanctions and trade compliance
- Fraud, waste and abuse
- Third-party risks and improper payments
- Revenue recognition and customer/distributor risks
- Conflicts of interests and segregation of duties
- Employee travel and entertainment
Learn More about A&M's Digital Twin here.
Contact Vincent Walden and Jeremy Tilsner to Learn More
Beyond Following the Money
June 11, 2025
When traditional forensic accounting hits a dead end, combining it with intelligence and asset tracing can uncover hidden wealth and maximize recoveries. This integrated approach adds significant value in investigations, litigation and bankruptcy matters.
Alvarez & Marsal Bolsters North Asia Disputes and Investigations Practice Hiring Kelvin Cheong as a Senior Director
June 9, 2025
A&M is pleased to announce the appointment of Kelvin Cheong as a Senior Director within its North Asia Disputes and Investigations practice.
AI Litigation, Enforcement and Compliance Risk: A Structured Response Framework
June 4, 2025
AI-related litigation and enforcement are no longer a future threat, it’s happening now. Companies are already facing investigations and class actions for overstated AI claims, algorithmic bias, misuse of training data and lack of model transparency. A&M experts examine the compliance landscape and share their structured approach to helping organizations navigate legal, regulatory and reputational AI risks.
From TAR to GenAI: Rethinking eDiscovery with Large Language Models
June 4, 2025
In this article, we explore how LLMs are reshaping document review, the risks and rewards of their use, and what this means for legal professionals navigating complex data challenges.
