We bring the latest techniques of legal risk evaluation and legal risk remediation to the forefront of advising business clients in five areas of legal practice.
Legal risk evaluation is essential due to uncertain outcomes that can arise from legal transactions and dispute resolution including litigation. Included in the task of legal risk evaluation is the need to deal with the ever-increasing regulatory scrutiny that organizations face. Legal risk evaluation is essential to ensure that when advice is given it is appropriate to the context in which the entity operates.
Legal risk remediation offers management optimal solutions that provides benefits through the adoption of appropriate mitigation techniques that can reduce or ameliorate the negative consequences that flow from events that give rise to legal risk.
Legal risk remediation is an active client-engaged process that offers assessment solutions that are dynamic and evaluative and quite distinct from the passive advice-giving role that typically characterizes the work of external legal advisors.
Our double helix approach to legal advice governs all aspects of how we deliver our legal services.
Legal Risk Evaluation
Legal Risk Remediation
Legal Quant PLLC provides the full-range of corporate legal advisory services for companies that have a need for an outsourced legal department providing litigation management, transactional assistance and general regulatory and compliance services for innovative companies that wish to have a fully-operational legal department operation on a turnkey basis without the overhead and fixed cost structures that the set up and operation of such a team would incur on an ongoing basis.
Legal Quant PLLC provides legal risk management services in the area of wholesale banking operations and regulatory compliance. Our focus is on preventing the conduct and behavioral risk issues that generate malfeasance and whistle blower claims which can that expose to unneeded regulatory intervention and wastes valuable resources and manpower that could be utilized for more productive purposes.
Legal Quant PLLC provides legal advice and guidance for organizations evaluating and operating in different bankruptcy settings be it Chapter 11, 15, or 7 offering strategic guidance and advice to creditors, debtors-in-possession, shareholders, trustees and other participants in the insolvency process.
Legal Quant PLLC provides legal advice in areas related to environmental matters including evaluating complex questions related to natural resources law and the redress of issues related to environmental contamination and pollution.
Legal Quant PLLC provides construction contract negotiation and project management services for complex construction projects on a global basis including assisting in the financing and dispute resolution aspects that such work may involve.
Decentralized multi-agent system for dynamic management of risks with legal origins or consequences that are directly or indirectly attributable to business.
Desmond’s deep learning network is capable of processing legal analysis in different legal domains relevant to a particular presented case capturing the essence of its legal significance and potential impact in several possible scenarios generating initial quantitative information placing the legal risks into precise financial and risk management taxonomies.
Enables monitoring and analysis of an initially set risk evaluation within the lifecycle of each particular case providing confidence and capacity for foresight, organizational and strategic thinking around legal risk.
Takes market dynamics into account in which portfolio related legal risks occurs on a real – time basis enabling quick turnaround when decision making must be made in a fast– paced environment.
Fully compliant with the developing management standard ISO 31022 – Enterprise legal risk management.
Compatible with existing financial risk management tools, GRC RMS and CMS.
Desmond also incorporates traditional tools of qualitative analysis that complements quantitative valuation, classification and controls in a manner familiar to legal decision making capacity.
Timely risk notification and possibility of unwanted causalities elimination.
Accelerated reporting and certification. Retains a complete record of risk and action driven relationship for each portfolio during its execution phase.
Cost minimization. Lean management and functional analysis of planning accuracy thru process automation.
Based on industry and enterprise specific risk maturity relationship.
Eliminates bias risk. Provides input control of accepted, mitigated and transferred risks.
Identifies and treats risk triggers, positive and negative consequences and their likelihood of occurrence (MS IEC / ISO 31010).
Recognize changes in one risk that may have wide – ranging effect elsewhere in the organization.
Defines and monitors case specific external and internal risks related to overall organizational portfolio diversity, asset valuation thereby enhancing the accuracy of market analysis for securities valuation purposes.
Provides high level support for regulatory requirements, implementation setting and the internal control system.
Transforms ISO standard dashboard into a powerful tool to predict conduct risk with legal origins or the dynamically occurring consequences arising therefrom.
System thinking as a tool
Desmond applies an AI decentralized system approach using deep learning artificial neural network algorithms, adopted distributed system technology, and IoT methodology to close the gaps of “illusion of intelligence”, reducing existing “mining effort” and data asymmetries between “members’ only” platforms. This enhances data efficiency and closes the “loop” between existing fragmented markets, and use of “deep prediction & big data”.
Our new interactive dynamical libraries provide big data model accuracy on customized sensitive attributes, reduce the redundancy and interdependence providing a causality framework for distributed and fragmented marketspaces. Themachine readable AI-based autonomous transaction protocols support the multi-layered architecture of decentralized market space.
Sustainable models for data (new interactive dynamical libraries) for open complex systems are capable to collect and verify additional data, reduce the amount of data/incident data distributed (data noise reduction, error minimization, bias reduction, drawing causal relationship and inference among data and observation mismatch), providing case-based reasoning for dynamical client centric utility and operational modeling. The intelligent distributed systems technique allows for an accurate “real time” monitoring perspective providing trusted distribution, security and transparency.