Managing massive volumes of data is a growing challenge for law firms and corporations, often leading to risks such as internal fraud and compliance breaches. At Law In Order, we turn these challenges into opportunities, offering advanced eDiscovery solutions through RelativityOne to help you secure, discover, and maximise the value of your data.
Our flexible RelativityOne hosting services, available on both a case-by-case and ongoing basis, provide access to top-tier eDiscovery tools and expertise without the need for extensive setup costs or additional staffing. From litigation and regulatory responses to internal investigations and information governance, Law In Order equips you with the necessary tools to manage your data effectively and mitigate risks.
RelativityOne is a comprehensive eDiscovery platform built on the secure and scalable Microsoft Azure cloud.
RelativityOne's proactive security program, Relativity Trust, and its in-house security team, Calder7, ensure robust protection through advanced techniques such as threat intelligence, dark web analysis, and vulnerability assessments.
ISO 27001 certification, HIPAA compliance, SOC 2 Type II attestation, and FedRAMP authorisation, RelativityOne guarantees top-tier data security and privacy.
Relativity continuously grows its suite of features, offering innovative solutions to meet evolving data challenges.
Security is assured at every step with its Security Center, using which the users get to act on suspicious activities, and the service comes free of cost as Relativity believes in security measures being paramount.
We design our products and services to ensure we adhere to the changing data compliance needs and regulations of our global customer base. We also embed privacy into our product development lifecycle and leverage various security measures to protect confidential, personal, and other sensitive information.
It helps accurately identify personal information using 120+ pre-trained identifiers that use machine learning to improve during review.
We use AI to find PI, so that the same is used to identify the personal information within a short timeline and is more cost effective than human intervention.
Helps improve the accuracy of PI identification with pre-trained AI based detection, more efficient review, streamlined redaction workflow,
We help you connect with your enterprise’s tech stack, help you maintain all the essential documents for your case in one place and we also help you in getting support from 350k users and 80 plus certified partners.
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Redaction: Helps is using the AI and automatically redacting personal information seamlessly.
Data Collection: Securely collects large volumes of data including personally identifiable information and saves it for the purpose of document review.
PI Detect with AI: Helps identify personal information with the help of Artificial Intelligence and it uses the context during a document review to identify what is personal indefinable information.
Accelerated Review Process: Clients receive a huge advantage by using a pre-built workflow.
Notifications: Helps send timely notifications to clients. Sending out timely notifications is crucial to avoiding fines and maintaining trust. Data Breach Response creates a recommended notification list – so you can act fast and steer clear of penalties.
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Quick Establishment of Case Expertise: It helps to iterate on results and identify the important criteria for the preparation of documents after the identification of relevant and important documents and issues.
End to end Privilege Workflow: Helps automate the initial assessment of privileged documents, prioritising their review, and constructing an accurate privilege log.
Reduction of Disclosure Risks: Helps the user to have an in-depth contextual understanding of all the data which has been collected and on the usage of documents.
Data Breach Response uses AI to find PI and PHI automatically, so organisations can easily assess the impact and build a notification list when responding to a data breach. Using this technology allows for a faster response timeline and is more accurate and cost-effective than human review. Data Breach Response in RelativityOne has helped clients transform their review process and materially reduce costs through automation to help meet notification deadlines.
With an initial assessment of impacted personal information and entities within 48-72 hours, you can quickly understand the scope of impact, timeline, and cost for your customer.
AI deduplicates entities across documents and provides a recommended notification list, allowing you to respond within the mandated timeline and avoid penalties or fines.
Reduce the likelihood of duplicate notifications in the event of a data breach – helping you maintain trust in a fragile post-breach environment.
Leverage pre-trained machine learning models to automatically identify documents containing personal information all within RelativityOne. Pre-trained AI-based PI/PHI identification has reduced the review population by 50% for a
customer.
Data never leaves RelativityOne’s security boundary to find sensitive data and develop notification reports
Ensures a seamless process, reducing the time and resources required to handle data breaches effectively.
With years of experience in eDiscovery and document review, our team understands the complexities and challenges law firms and corporations face. We are committed to delivering services that meet the highest standards of excellence.
By utilising RelativityOne, we provide a secure, flexible, and powerful platform that enhances your ability to manage and analyse data effectively. Our technical expertise ensures you get the most out of this advanced tool.
We pride ourselves on offering personalised service that aligns with the unique needs of our clients. From tailored workflows to customised reporting, we work closely with you to ensure your specific requirements are met.
Data security and compliance are at the forefront of our operations. Our adherence to industry standards and best practices guarantees that your data is handled with the utmost care and confidentiality.
Already have an Inhouse Team? And just need help with various collections or data input, we can help your team get sorted.
A Subscription based customised package for ongoing BAU or adhoc projects, get extra savings with our custom bundled packages.
We also offer services for those who just need help with a particular job or single project where you don't have time to do yourself.
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We support a range of clients from corporate to law firms to individuals.
Although Law In Order’s client base is predominantly legal firms, government and corporate companies, we also cater for any business that requires document management and data technology services.
Clients are reviewing matters in Relativity or NuixDiscover with less than 0.5GB of documents in their workspace. Even for smaller projects, reviewing documents in an online eDiscovery review platform provides great benefits. Commencing your review online enables you to scale up when the matter expands.
Your review team can collaborate much more effectively in the platform. You can isolate documents for production, issues tag and redact documents quickly, and access the documents and your notes from anywhere, at any time.
No, we do not.
No job is too urgent, big or small. You can be certain that Law In Order is capable of handling large volumes of work. Our high volume printing/copying machines are capable of producing over one million pages per week!
At Law In Order, we take security and confidentiality very seriously.
Law In Order has rigorous protocols in place to ensure our client’s data and documents remain highly secure and confidential.
All data associated with the matter will be hosted and analysed in Australia.
At the outset of any project, Law In Order’s consulting team will work with the client to develop a strategy aimed at reducing the amount of data to be reviewed. This might include removing duplicate documents, threading emails or discounting data that falls outside a particular timeframe. The culling methodologies employed will vary depending on the strategy agreed with the client and the type of data to be identified.
The use of early case assessment technology and techniques such as de-duplication have been endorsed by courts across Australia and provide a quick and easy way of removing duplicate or irrelevant data from a review set in a low risk and defensible manner, leading to significant time and cost savings.
All of the technologies that we use at Law In Order have been developed specifically for the legal industry and are inherently conservative. For example, the tools we use for technical de-duplication of documents will only remove documents from a set that are absolutely identical – those that share the same hash value, a form of digital fingerprint. If a document is almost identical to another but has one additional full stop or is saved in a different format, it is not a technical duplicate and will not be removed from the review set through de-duplication. There are other options, however, to identify similar documents and we can provide case specific options to streamline the review of those.
The use of early case assessment technology and techniques such as de-duplication have been endorsed by courts across Australia and provide a quick and easy way of removing duplicate or irrelevant data from a review set in a low risk and defensible manner, leading to significant time and cost savings.
We can’t give an accurate answer to this until we assess the material, however in some cases we’ve reduced the data size by 90% just by undertaking an informed data cull at the early case assessment stage.
Analytics can be used at various stages of a litigation and for different purposes. A common use case is to identify the key facts of the case early on. Unlike traditional keyword searches, analytics is based on how and where ideas and concepts intersect with similar ideas and concepts in a document collection. It can make predictions on relevancy based on input and change how reviews are run to reduce time and cost spend on document review.
As explained in above question: How can we be sure that when we clean the data sets, you won’t remove any relevant documents?
The goal is to reduce cost and risk by analysing the data up-front, reducing the time and effort of traditional legal discovery. ECA origins revolved around an expert trial lawyer’s ability to survey evidence, synthesize data from multiple sources and quickly laser in on key points. Today, ECA is much more of a data management process, allowing Inhouse Counsel and external lawyers to assemble, analyse and pinpoint key facts as well as reduce the volume of documents requiring review for discovery early on. The result? Tremendous cost savings.
