Automating Legal Decisions and Compliance since 2010
Intelligent LegalTech
Monad is a leading provider of legal technology solutions for public and private sector clients. We simplify your legal, compliance and decision making processes by identifying and automating the complex rules and patterns that underlie them.
Established in 2010 and headquartered in Singapore, Monad has world-leading expertise implementing Oracle Intelligent Advisor (OIA), formally Oracle Policy Automation (OPA), with a long track record of meeting clients requirements and partnering with System Integrators worldwide. These skills are complemented by our experience with Oracle Service Cloud (formally Rightnow CX), Oracle Digital Assistant and Salesforce.com, plus open source languages like Java and Python, and machine learning libraries like Google Tensorflow.
Exemplary Track Record
A diverse portfolio of successful implementations around the globe and across multiple industries including financial services, government, telecommunication, retail, and education.
Certified Implementation Specialists
All of our employees undergo intense training to become certified Implementation Specialists in the relevant technical fields such as Oracle Intelligent Advisor Implementation Specialist, SalesForce Developer Certification
End-to-end Expertise
Offering a complete spectrum of services aimed at all delivery aspects of rules engine projects including Methodology, Rules architecture, Business rules elicitation, and benefits realization.
What we can do for you
Offerings
Expert Systems
Expert systems are computer programs that mimic the decision-making abilities of a human expert in a specific domain. Using rule-based reasoning techniques to solve complex problems and make decisions, we specialise in building expert systems in the legal domain, where the rules are based on legislation, regulations and/or policy material.
Legal expert systems are useful for organisations in a variety of ways:
Expert systems can automate tasks that would normally require human expertise, such as determining eligibility for social security or a visa, calculating tax liability or advising an employee on their rights to employment benefits. This increases efficiency and consistency and reduces errors.
Expert systems can provide organisations with expert-level advice, helping managers and employees make more informed decisions.
Expert systems can operate around the clock, providing organisations with the ability to make decisions and provide interactive guidance even when human experts are unavailable.
By automating tasks that do not require human expertise, expert systems can allow organisations to better utilise the skills of their human experts on even more complex tasks.
Machine Learning
Machine Learning (ML) is a method of teaching computers to learn from data, without being explicitly programmed. It involves the use of statistical algorithms and models to enable computers to learn from data and make predictions or decisions.
We implement machine learning in the legal domain in a variety of ways:
Machine learning can be used to analyse historical data and make predictions about future trends and patterns. This can help organisations make better business decisions, such as identifying new opportunities or predicting customer behaviour.
Machine learning can be used to detect anomalies in data, such as identifying fraudulent transactions or other legal violations.
Machine learning can be used to optimise various business processes, such as supply chain management, pricing strategy, and marketing.
Document Generation
In conjunction with making automated decisions using expert systems and/or machine learning, there is often a requirement to automatically create and deliver documents, such as contracts, letters, application forms or audit reports.
Automation document generation has a number of benefits:
Generation documents automatically can ensure that they are compliant with laws and regulations by ensuring that they include all the right information in the right format.
Automating document creation can help organisations save money by reducing the need for manual labour, reducing the number of errors, and increasing the speed of document production.
Automating the creation of repetitive documents can save organisations a significant amount of time and increase efficiency.
Case Management
We build solutions managing the workflow and tasks associated with a case in the legal domain, or any other area where there are complex rules and regulations and/or detailed documents to be generated. The applications that we build help organisations streamline and automate the end-to-end process.
Our applications are used to manage and store case-related data, such as client information, identification documents and case notes, in a centralised location, making it easy to access and share the information.
Case management systems will help to ensure that the actions of a client are compliant with laws and regulations.
The solutions automate repetitive tasks increasing efficiency and reducing the need for manual labour.
Rules-As-Code
Rules-As-Code is the concept of expressing legal or regulatory rules in a machine-readable format (such as code) to enable automated enforcement and interpretation. Much of the work we do involves modelling rules in an executable format for a specific client, but we also work with legislative drafting offices and regulators to actually create the rules in an executable format from the start.
This approach has benefits for society at large, but there are several advantages to the drafting office or regulator itself:
The logic of the legislative rules can be tested and the entire legislative scheme or regulatory regime can be simulated before it is enacted as a way to identify conflicts, loopholes and ‘orphan’ rules that are never applied because they are not connected to the other rules. This is done as part of the collaboration between stakeholders in the legislative process.
If the rules are published in an executable format, then they can easily be enforced in a consistent and accurate manner, resulting in higher levels of compliance across the entire sector or industry.
Chat Bot
Chatbots simulate conversation with human users using natural language processing (NLP) and machine learning techniques to understand and generate responses to user queries.
For organizations, Chatbots can provide several benefits, including:
Quick and efficient customer service by answering frequently asked questions and resolving simple issues.
Chatbots can personalize interactions with customers by remembering their preferences and history and providing personalized recommendations.
Chatbots can automate routine tasks, freeing up employees to focus on more complex and valuable tasks.
What we leverage
Technology
Oracle Intelligent Advisor is a software product offered by Oracle that provides a platform for creating and deploying expert systems, also known as guided interview or decision support systems. It is a cloud-based, low-code platform that enables organizations to easily create and deploy expert systems without needing extensive programming knowledge.
It allows users to create and manage knowledge models, which are used to define the logic and rules that govern the expert system’s decision-making process. The knowledge models can be used to create guided interviews, forms, and decision support systems, which can be used to automate tasks such as data validation, decision-making, and customer service.
Salesforce is a customer relationship management (CRM) platform that provides businesses with a variety of tools to manage customer interactions and data. It is a comprehensive cloud-based platform that allows businesses to manage customer interactions, sales, marketing, and customer service in a centralized location.
Google TensorFlow is an open-source library for machine learning and deep learning. It is widely used by researchers, engineers, and data scientists for building and deploying machine learning models. TensorFlow provides a flexible and powerful platform for creating, training, and deploying machine learning models. It supports a wide range of tasks including image and speech recognition, natural language processing, and predictive analytics.
Why choose us
Meet the Team
Michael Fairweather
BSc (IT Systems), LLB, GradDipLegPrac
Michael is an accomplished lawyer and technology consultant that has 20 years’ experience building legal automation systems all over the world. He holds degrees in Law and Computer Science from the University of Western Australia and provided technical consulting services on behalf of Oracle and Accenture before co-founding Monad in 2010. Michael is an expert in Legal Analysis and Legislative Quality Assurance (LQA), and has been a member of the International Association of Artificial Intelligence and Law (IAAIL) since 2007. He is from Australia and resides in the Philippines.
Aswathy Satheesan
Diploma (Cyber Law), B.Tech (IT), M.Sc (Computing, IT Law and Management)
Aswathy Satheesan is a seasoned professional with over 11 years of experience in designing and implementing complex Oracle Intelligent Advisor (OIA) rules for clients globally. She has a Master’s degree in Computing, IT Law, and Management from King’s College London and holds the Oracle Intelligent Advisor 2021 Certified Implementation Specialist certification. She is well-versed in web-based application development, software development, and data center management. Her diverse background, including experiences living and working in India, Dubai, and London, brings a unique global perspective to her work. She currently resides in Trivandrum, Kerala.
James Woon
BIS (Information Systems)
James has delivered high profile Information Technology implementation projects across the APAC region spanning multiple industries for over 10 years. With a degree in Business Information Systems from the University of New South Wales, Australia, he has had exposure to a broad range of functional and technical roles including as a Project Manager, Solution Architect, Business Analyst or Design Lead. He brings strong communication and conceptualization skills enabling value creation through bridging the gap between customers and technology teams. He is from Australia and resides in Malaysia.
Sahil Mahajan
BTech (Computer Science & Engineering)
Sahil is an outcome oriented individual with diverse experience in the software development industry. He is an expert in Oracle Intelligent Advisor (formerly Oracle Policy Automation). He has 8+ years of experience working in different sectors such as Banking, Public , Healthcare, Human resource, etc. He is currently working as a Developer and CRM Lead at Monad Solutions and works on Oracle Intelligent Advisor rules implementation and delivery. Prior to joining Monad Solutions, he worked as a Senior Consultant at Oracle India and gained experience in delivering Oracle Intelligent Advisor projects integrated with Oracle SaaS products such as Oracle B2C service cloud, Oracle B2B sales cloud and Oracle Digital Assistant. He is currently based in Mississauga, Canada.
Brenda Mortejo
Certified Public Accountant (CPA)
Brenda has over 10 years of professional experience in bookkeeping and accounting services in a diverse industry. She is a Certified Public Accountant from the Philippines and with expertise in different accounting platforms including Xero, Quickbooks, MYOB and NetSuite among others. Her scope is on improving business accounting processes & internal controls, and very knowledgeable in the full accounting cycle. She has served different clients globally as a freelancer and currently resides in the Philippines.
Our success
Clients
Our results driven philosophy emphasises on achieving outcomes that matter and maximising client satisfaction. We have successfully delivered value to a number of key domains, including financial services, government, telecommunication, retail, and education.
Contact
Monad Solutions Pte. Ltd, 16 Raffles Quay #33-03 Hong Leong Building, Singapore 048581