Paul has over 20 years experience assisting legal practices to manage their business and to maintain quality standards and compliance with the Solicitors Regulation Authority’s (SRA) Standards and Regulations and the SRA Accounts Rules (SAR).

He is an ADRg Accredited mediator in Civil and Commercial Mediation and was a lecturer in Mediation at University of West London LLM International Investment and Arbitration Law.

He is also a trainer and lecturer in Anti Money Laundering, Complaints Handling, Compliance, Costs, Practice Management and Regulatory Affairs and provider of ‘in house’ training for Continuing Competence. He provides Compliance Officers for Legal Practice (COLPs) and Compliance Officers for Finance Administration (COFAs) compliance training for both start-up and existing law firms and for the Middlesex Law Society.

Lana graduated with a BSc Business Economics at the University of Exeter followed by MSc Emerging Economies & International Development at King’s College London. She became a Compliance Consultant after gaining exposure to Anti-Money Laundering and Counter Terrorist Financing (AML/CFT) due diligence at a Swiss development finance consultancy.

This work involved researching several Asian banks as part of Asian Development Bank’s (ADB’s) Trade and Supply Chain Finance Program (TSCFP) covering more than 100 banks in 18 emerging markets.

Lana is well-versed in legal writing, having created Audit Compliance’s AML/CFT & Sanctions manual. Her knowledge of the legal sector is extensive as a compliance auditor at Assessment Legal and consultant at Audit Compliance. Her client work includes the revision of AML manuals, Practice-Wide Risk Assessments (PWRAs) as well as other compliance gap analysis.

François Arlabosse graduated with a Mathematics from the University of Nancy and Paris and obtained a diploma in electronic and nuclear physics engineering from E.N.S.E.M. Nancy. Following this, he has undertaken a long and distinguished career in Artificial Intelligence.

François was instrumental in forming Framentec-Cognitech a division of Framatome when the Teknowledge spinoff of Stanford University formed a joint venture with Framatome. Framatome has since changed its name to Areva N and is a world leader in the design and construction of nuclear power plants, the supply of fuel as well as maintenance and modernisation services. Francois acted as a technical adviser to the main board for this project.

Amongst the many European ESPRIT projects he has contributed to are ESPRIT P387 ‘KRITIC’ Knowledge Representation and Inference Techniques in Industrial Control, ESPRIT I Project 1592 ‘TAO’ A Therapy Adviser for Oncology, ESPRIT II Project 2043 ‘MARIE’, Mobile Autonomous Robot in an Industrial Environment, ESPRIT II Project 2256 ‘ARCHON’ , a general purpose multi-agent system architecture for industrial applications, as well as ESPRIT II Project 2152 ‘VIEWS’, a project for the intelligent evolution of computer aided vision of outdoors scenes. 

Magnus Isenberg has been working as a development engineer for over 30 years. He is a very experienced programmer in C#, JavaScript, PHP, Rest and WCF Services and WPF Clients, MVC Webapps and MVC 6.0.

Magnus was a consultant to Relacom. Relacom is a global supplier of network services who provide field-managed network services at homes, in offices and on networks in northern Europe through more than 250 offices in Sweden, Norway, Finland and Denmark.

Magnus has also managed the migration from Movex M3 an ERP platform using Oracle to a Relational Database Management System (RDBMS) IBM DB2 and recently to Microsoft SQL Server.

Prateek is an adept software developer with experience in AI, computer vision, and machine learning. He has demonstrable problem-solving abilities and a keen attention that help him continuously develop his skills in the field of computer science.

• AI and Deep Learning, Artificial Neural Networks, NLP, CNN, RNN, LSTM 
• Machine Learning: KNN, SVM, Logistic-Regression, AdaBoost, Decision Trees, Random-Forest, and Clustering
• Pro-efficient in C++ and Python
• Pyspark, TensorFlow, Keras, Flask
• Generative AI, GANs, Web APIs and REST APIs
• Computer Vision, OpenCV, PIL, SSD, YOLO
• Image processing, thresholding, linear and non-linear filters, edge detection, morphological operators, rotation, and scaling