AI & eDiscovery: Moving Beyond TAR & Predictive Coding
eDiscovery has been widely used by almost all legal professionals in the U.S. and abroad. For the past years, Artificial Intelligence (AI) has been revolutionizing the eDiscovery process and reshaping the eDiscovery industry. In 2017 alone, numerous trends and developments in eDiscovery and AI have greatly aided predictive coding and technology assisted reviews (TAR), thus, creating a much smarter, faster and better experience for clients while reducing review costs.
Listen as a panel of distinguished professionals and thought leaders organized by The Knowledge Group provide the audience with an overview of the recent trends and developments involving AI and eDiscovery. Speakers, among other things, will also offer helpful insights and practical pointers to avoid legal risks and challenges.
Key topics include:
- AI & eDiscovery Trends and Developments in 2017
- Global Developments
- Scope and Limitation
- Predictive Coding and Technology Assisted Reviews
- Cost Saving Strategies and Efficiencies
- What Lies Ahead in 2018
Alvarez & Marsal, LLC
- With continuing exponential growth of data volumes, we need change how we contextualize documents as opposed to just search documents
- E-discovery management must begin much earlier with effective information management, with the application of modern AI-technologies for auto-classification and mapping
- AI will become the norm for analytics – companies should seek opportunities to increase speed to insight especially for internal investigations and ECA (in addition to discovery in litigation)
The Maas Consulting Group
- eDiscovery software and eDiscovery skills – wolves in sheep’s clothing
- I believe that for discovery in civil litigation AI and TAR will largely be restricted to the role of very effective admin tools:
- They will continue to help reduce data volumes, and they will continue to get better and better at that
- They will continue to prioritise the likely more relevant documents, and they will continue to get better and better at that
- They will help in Early Case, and Data, Assessment to determine more quickly whether it is financially and legally worth pursuing
- They will help tighten the reins of litigation funding, and make that an investment even more interesting to third parties
- They may help determine the outcome of a dispute without eventually dragging it through the expensive trial phase
- There may be more expert evidence around the technology rather than the facts as parties seek to discredit and undermine their opponents’ workflows and processes
- This will probably lead to a rise in the numbers of Special Masters, and their introduction in jurisdictions currently without such a quasi-judicial role
- They will help to break the back of Information Governance, that is the Holy Grail of all that we do
- I do not believe that AI and advanced analytics will be used to drill down even more into an analysis of the facts and emotions in the evidence - that is not what civil litigation is about (+ proportionality)
- The use of AI and advanced analytics will grow exponentially in criminal and cyber investigations, and investigative journalism, once their ability to corral big data is known and understood (viz. Paradise and Panama Papers, Wikileaks, etc.)
- There is a fervent need to confirm or deny suspicions beyond reasonable doubt
- Pockets are deeper to dig further in the public interest where the life of something (a person, a private company, a belief, a legal system, truth) is in the balance
- Where morals rather than Mammon are at stake
- We may get to the tipping point where nothing more can be done with new technology and parties will increasingly take refuge in the starting point of all this: the procedural rules
Who Should Attend:
- eDiscovery Professionals
- eDiscovery Lawyers
- Privacy Law Attorneys
- Information Management Officers
- IT Professionals
- Chief Information Officers
- Risk and Compliance Officers
- Other Interested/Related Professionals
Steven Lee brings over 18 years of experience in information technology management, with over 14 years of specialist experience in applying forensic technology solutions to fraud investigations, disputes, and regulatory compliance matters. His prior engagements have included anti-bribery investigations, kickback investigations, banking disputes, IP theft cases, employment disputes, regulatory investigations, and compliance review exercises across industries. Mr. Lee regularly advises clients on complex e-discovery projects and forensic investigations. Having worked in the UK for six years, he has particularly strong experience in cross-border matters and addressing varying data privacy considerations across Europe and Asia.
Mr. Lee also leads the Applied Data Analytics practice for A&M focused on providing data-driven solutions. He leverages advanced data analytics techniques including big data, social media analytics, and machine learning algorithms to most effectively manage the large volumes electronic information that companies are challenged with today.
Steven Lee brings over 18 years of experience in information technology management, with over 14 years of specialist experience in …
Mr Maas is a renowned paper and electronic discovery veteran, with an unparalleled 35 years experience in the field: 29 years in international law firms and six years in international consultancies. He speaks and writes on the subject widely and has been involved in developing civil procedure in England & Wales to respond to the modern demands of litigating in the digital age.
Mr Maas’ experience of identifying, collecting, classifying and acting on data in the legal environments of investigations and disputes continues to add value in the current environments of the General Data Protection Regulation (GDPR) and Information Governance generally.
Mr Maas’ metier is acting as a verbal or written bridge between technical experts and lay people, whether it’s conveying complex technology concepts to a legal audience or explaining matters of detailed legal procedure to IT specialists. His ability to unite diverse teams to complete discovery exercises as cost- and time-effectively as possible has enabled him to deliver successfully numerous projects for national and international businesses and local and central governments.
He regularly sends out to subscribers a daily email alert (his “BONG!”) containing interesting items in the areas of discovery, GDPR, legal technology, science and other related fields.
Mr Maas is a renowned paper and electronic discovery veteran, with an unparalleled 35 years experience in the field: 29 …
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Method of Presentation:
On-demand Webcast (CLE)
Basic Knowledge in eDiscovery Law
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Founded in 2008 in Portland, Ore., Zapproved, LLC. is a pioneer in developing cloud-hosted software for corporate legal departments. The Z-Discovery Platform returns power to in-house corporate legal teams and helps them navigate electronic discovery with minimal risk and cost, and it sets new standards for scalability and intuitive design. The company’s flagship product, Legal Hold Pro, is widely adopted by Fortune 500 and Global 2000 corporations and won the 2016 Legaltech News Innovation Awards for Best E-Discovery Legal Hold Product, and the company was named as a “vendor to watch” in the 2015 Gartner Magic Quadrant for E-Discovery.
About Alvarez & Marsal, LLC
Alvarez & Marsal sets the standard for delivering results on critical matters. With an increase in the complexity of corporate investigations, regulatory enforcement actions, and high stakes litigation, that ability is more important than ever. From the boardroom to the court room, A&M professionals draw on their deep skills and experience in business investigations, litigation consulting, forensic technology, and expert testimony to provide clients with the solutions they seek to achieve their goals.
About The Maas Consulting Group
The Maas Consulting Group help in the places where law and technology traditionally disconnect. This translates into extremely experienced and empathetic support for lawyers and IT professionals, with a focus on evidence management during all appropriate phases of disputes and investigations, specifically discovery or disclosure:
- Full coverage of all aspects of the Electronic Discovery Reference Model (EDRM)
- Service provider selection and/or management
- Establishing internal discovery teams
- Streamlining existing discovery workflows
- Litigation/discovery project management
- Electronic Documents Questionnaire (Form N264) guidance
- Precedent H guidance
- TeCSA/SCL/TECBAR eDisclosure Protocol guidance
- Early data assessment
- Case Management Conference preparation
- eDiscovery/eDisclosure strategy/response
- Document review
- Trial preparation