Lighthouse Blog

Investigators experienced in interrogating data know that there may be more to a communication than meets the eye. Whether from intentional or unconscious behavior, clues abound.When key facts are conveyed in nuanced or disguised language, it is important to explore the available collection of documents and communications with a linguistic and forensic sensibility. Although a difficult endeavor, the payoff is high when previously hidden meaning and intent surfaces in your investigation. In the process, individual finds often lead to a larger set of findings providing you a deeper understanding of who exactly knew or did what, and how they felt about it.Follow the ScentUnlike for a typical discovery request, searching for hidden meaning and intent in large data sets requires an ability to pinpoint nuanced — and often indirect — textual cues. This capability is distinct from relevance-based classification techniques such as TAR, which are optimized to ensure consistent coverage for a topic across a large data set. When looking for possible subterfuge or heightened emotion, for example, the task is more akin to incremental detective work than it is batch or prioritized classification. As such, it is useful to frame your efforts within an iterative search workflow that brings you into contact with potentially interesting content and communications, while also allowing you an ability to pivot off your search to explore particular key people, events, and timelines where interesting content appears to be clustered. Make a ListAn important first step in searching for key content you might otherwise be missing is to develop or tailor pre-existing lists of keywords and phrases targeting the types of behaviors and sentiments you are interested in uncovering.For example, if you are investigating possible fraud, you may want to focus part of your search on isolating communications in which there are textual traces suggesting concealment. Some concealment-related phrases to add to a keyword list for a fraud investigation could include “do not share this,” “take off line,” or “delete email,” to name just a few.Additionally, if you are interested in isolating internal chatter conveying strong concern or worry, you could include items like “atrocious,” “huge mistake,” “ill advised,” or “ordeal.” Ziti? Or Fraud?Apart from language expressing worry or concealment, other language worth targeting to get at hidden meaning and intent could include profanity and slang. Also, keep in mind the cultural context in which the communications and documents you are searching through were produced. For example, in a recent bribery and corruption case in NY state involving NY state government officials and private business executives, “ziti” (or “zitti”) was used as a code word to refer to bribes and extortion money. This particular code word in this context was borrowed from the language used by organized crime in New York and surrounding states.Stay on TopicGiven the richness of language and culture, keyword lists targeting hidden figurative meaning can grow to hundreds, even thousands, of words and phrases. To avoid a deluge of hits, it is useful to pair these special keywords with broad issue indicators to make sure you are targeting not only figurative language, but also potentially relevant content. For example, if you are interested in isolating potential fraud around billing practices, one possible tactic would be to leverage proximity search by pairing fraud-related terms like “unusual” with a broad topical keyword term “billing” (e.g., unusual /50 bill[s,ed,ing]). Using this tactic in a systematic way across targeted sentiments and topics will get you a richer result set to focus your in-depth review on.Prepare Ahead of TimeAs with any search effort, setting up your data by threading email conversations and identifying near-duplicate sets of documents are two of the many approaches available to winnow down and prioritize the set of documents you perform targeted searches on. Techniques such as name normalization can also be especially helpful when your aim is to understand who is communicating with whom on a consistent basis.Keep Smiling It is also useful to explore how best to tailor the indexing of your data for searching — for instance, emojis are often used in key relevant conversations, yet they are rarely indexed automatically for search in review platforms. From both a discovery and investigative perspective, this can be a big blind spot. Preliminary research on the topic shows an increase in the number of US cases referring to emoji as evidence increased from 33 in 2017 to 53 in 2018.Searching for key content conveyed through nuanced language is a complex task that is substantively distinct from relevance and topic classification. With the right mindset, workflow, and tools, you will be able to structure and manage this effort in order to isolate key facts otherwise left hidden that are relevant to your case.ai-and-analyticsblog, key-document-identification, fraud-detection, ai-and-analytics,blog; key-document-identification; fraud-detectionlighthouse

Legal and IT teams do not necessarily sit at the same lunch table (to use an over-simplified high-school analogy), however, organizations can quickly run into challenges when these teams are not aligned. As corporate data volume and types continue to grow at record speed, it is critical to maintain a technology infrastructure that is not only secure, but also satisfies the legal requirements for managing information. I recently had the privilege of chatting with Craig Shaver, the eDiscovery Program Director at Hilton Worldwide, about the challenges of this electronic data mosaic and innovative strategies to enable collaboration between these groups on the Law and Candor podcast. In this blog, I will review the key challenges we discussed as well as summarize three key solutions to overcoming them in the hopes it will help align your IT and legal teams.To level set, both teams have different priorities. Legal is generally focused on ensuring that the company’s data is protected and retention policies are upheld, while IT is looking for new ways to manage the ever-increasing volume of data to drive efficiency while maintaining budgets. So, when IT moves forward with new technology solutions, large data migrations, moves to the Cloud, or even simple contractual agreements and is not in sync with Legal due to other priorities or lack of communication, items may be missed and can create large downstream issues such as potentially responsive documents going uncollected, being slapped with spoliation charges, or costly and time-consuming rework.Nobody wants unforeseen charges or to loose time and money, so let’s look at some solutions to overcoming these challenges by ensuring collaboration between these two teams. Begin by:Establishing Legal Processes and Policies – Legal needs to first ensure they have effective legal hold processes in place, clear and consistent policies on data retention, as well as defensible deletion policies. Without these in place there is no formal process.Ensuring Participation on Both Sides – It is important to identify and designate a legal and IT liaison to sit on various steering committees and be a part of any technology decisions, migration projects, etc. In some larger, global organizations, you may want at least two or three people from each group involved to attend these meetings, as it can be a lot of work and require travel. Legal will understand the impact on the overall eDiscovery process and can review service-level agreements and SOWs as well.Continuing the Ongoing Partnership and Communication – Post project, it is important to continue to meet regularly (weekly or monthly) with key stakeholders to continue to communicate around upcoming migrations, technology changes, etc., as well as build trust and a further develop relationships. Legal can help IT enforce their deployment and security policies with other departments within the company as well as ensure GDPR compliance and other factors are considered when looking at new products.Enacting these three solutions will help you ensure your teams stay in sync. When legal and IT sit at the same lunch table and stay in communication, organizations are more likely to experience seamless or near-seamless integration of processes, better understand project timelines, reduce friction between very busy teams, maintain a shared understanding each other’s workloads and processes, as well as gain trust amongst the teams, which helps with future projects and getting folks to support one another.To discuss this topic more, reach out to me at bmariano@lighthouseglobal.com.legal-operations; information-governance; data-privacygdpr, ediscovery-process, blog, legal-operations, information-governance, data-privacy,gdpr; ediscovery-process; blogbill mariano

This eDiscovery Day, the day that focuses on educating industry professionals around growing trends and current challenges, we are excited to announce that season two of Law & Candor, the podcast wholly devoted to pursuing the legal technology revolution, is now live.Co-hosts, Bill Mariano and Rob Hellewell, are back for season two of Law & Candor with six easily digestible episodes that cover a range of hot topics from cybersecurity to privilege tools. This dynamic duo, alongside industry experts, discuss the latest topics and trends within the eDiscovery, compliance, and information governance space as well as share key tips for you and your team to take away. Check out the latest season's lineup below:Bridge the Gap: Innovative Ways to Enable eDiscovery Collaboration Between Legal and ITThe Privilege in Leveraging Privilege Review ToolsData Preservation in the World of Ephemeral Data, Mobile Devices, and Other New Challenges in Forensic TechnologyCybersecurity in eDiscovery: Protecting Your Data from Preservation through ProductionWould a No-Deal Brexit Change How We Handle Cross-Border Collections in Europe?Understanding and Creating Effective and Best eDiscovery Practices for G-SuiteEpisodes are created to be short and bingeable so that you can listen on the platform of your choice with ease. Check them out now or bookmark them to listen to later.Follow the latest updates on Law & Candor and join in the conversation on Twitter. Catch up on season one today.For questions regarding this podcast and its content, please reach out to us at info@lighthouseglobal.com.ediscovery-reviewgdpr, privilege, cybersecurity, ediscovery-process, cross-border-data-transfers, blog, ediscovery-review,gdpr; privilege; cybersecurity; ediscovery-process; cross-border-data-transfers; bloglighthouse

eDiscovery pricing has always been nuanced and inconsistent across vendors and technology providers, making it difficult for law firms and corporations alike to compare and contrast options. So, it is no big surprise that this same challenge exists across self-service, spectra eDiscovery tools and software as well, making it extremely challenging to model out an apples-to-apples comparison across solutions. This inability to accurately compare costs across different platforms leaves you and your team in the dark when it comes to choosing the right tool and pricing model to fit your needs.The ChallengeToday’s self-service, spectra solutions are frequently priced based on data sizes/volumes at different phases of the eDiscovery processing, review, and production workflow, often with each of these steps having their own cost trigger associated with them. For example, many solutions charge based off of hosted volume, raw data size, or even post-extraction data volume, while others charge a flat-fee per matter.Although attractive on their face, on a per matter plan you may be in good shape if you are able to entirely self-support, but any requests for help or training are frequently not included in the flat-fee. The lack of the ability to predict the future needs for support make the flat-fee a riskier choice. While paying for eDiscovery based off of per GB sizes is a very popular method, not knowing the expansion rates, the hosted volume, or not needing an entire data-set post culling and filtering means you may fall victim to data size anomalies or paying for data you don’t need.Lastly it is important that you make sure to understand the full ecosystem of potential charges to avoid any surprises. Make sure to understand if there are other costs or “gotchas” you need to be aware of around user fees, OCR costs, Bates endorsement fees, user trainings, additional license fees to other platforms, costs to process specific file types, language translation, etc. Not to mention, you also have to consider the various technology platforms that are included and assess the need for ongoing expert support.There is no perfect pricing model. The key to all of this is choosing the right model for you and your eDiscovery profile, but, how do you go about that?The SolutionWhen you are evaluating pricing for self-service, spectra platforms and you have narrowed down to a few technology providers that offer technology that fits your needs, make sure to leverage the following tips to ensure you’re making an informed comparison:Trust but verify. Ask the technology provider to explain the price point and both how and when it is measured. Discuss how the confluence of the eDiscovery workflow and cost actually come together. Will all workflows trigger all cost points? Do you have to pay for technology you don’t want or need? Understanding the answers to these questions will allow you to get a big picture understanding and to get a feel for where you may see your costs rise or decrease.Set up a real case example. Ask the potential providers to use your actual data volumes to illustrate what the cost would like look for a given period of time (i.e. a month or even a few years). This will allow you to see what actuals would be across platforms as well as give you the opportunity to explore different pricing models with the vendor to meet your budgetary constraints.Use a pricing calculator. Create a pricing calculator to compare self-service, spectra tools. Add as many variables as you would like to understand across all possible scenarios and across the different platforms you are evaluating. Leverage this to compare bottom-line numbers and determine the right fit for you. Additionally, lean on your vendor to help you build this out and make a comparison.To discuss this topic more or to learn how we can help you make an apples-to-apples comparison, feel free to reach out to me at bthompson@lighthouseglobal.com.ediscovery-reviewcloud, self-service, spectra, ediscovery-process, blog, ediscovery-review,cloud; self-service, spectra; ediscovery-process; blogbrooks thompson

In a world of ever-increasing and evolving self-service, spectra models (think Amazon Go, fast food self-order kiosks, or even the self-service, spectra check in and check out at hotels), it’s no wonder the eDiscovery industry is headed in the same direction. In the last few years, new and improved SaaS eDiscovery tools have exploded onto the scene as corporations and law firms have started to embrace a self-service, spectra approach for executing the discovery work associated with both internal investigations and proper legal matters.As the historically risk-averse legal world has been slow to get on board with self-service, spectra eDiscovery models, you’re likely to still encounter objections if you ask your team to take the leap and invest in a self-service, spectra eDiscovery tool. Below, I outline the common objections I have encountered to self-service, spectra models and how you can overcome them by sharing some key value differentiators of on-demand eDiscovery tools that should persuade your team to embrace these new offerings and leave the antiquated, expensive on-prem solutions for good.Data Security Risks – The first, and potentially biggest, objection to the adoption of a self-service, spectra program often centers on concerns over data security and the associated risk. Corporations and law firms alike are concerned that self-service, spectra means cloud-based and as a result a lack of security and an increased exposure to risk. Historically, companies have been more comfortable with on-prem eDiscovery solutions because they have viewed that as meaning that they had complete control of their data without having to rely on a vendor or worry about their data being commingled with other clients’ data.However, with that control comes with a lot of risk, which can be greatly minimized by having a SaaS vendor that offers a private cloud. This private cloud can be a perfect solution because they do not have the same security concerns that are involved with the public cloud. When vetting potential SaaS partners, make sure to look for those that carry SOC 2, ISO, and HIPAA security certifications to ensure that your providers are staying up to speed on the latest security requirements.Steep Learning Curves – Oftentimes people I chat with will associate self-service, spectra with steep learning curves and lots of tedious training. This isn’t always the case.Although this may be true with some self-service, spectra solutions, but it’s important to note that not all platforms are created equal. Some solutions provide extensive functionality with a complex, hard to use, difficult to understand interface, while others strive to provide a simple interface often at the expense of functionality, while a rare few bridge the two finding that perfect blend of robust functionality and ease of use. Start the assessment into usability by understanding the true training required for the solutions you are evaluating, weigh the functionality vs. your team’s needs and skillset, talk to other users who have already adopted the solutions to validate the actual training lift, and finally showcase those findings with your team.Lack of Support – A common objection to self-service, spectra solutions is that they lack on-demand support and access to additional training and help if needed. Today’s lawyers and eDiscovery managers need to move through matters quickly and efficiently, and without access to readily-available help it frequently stalls the matter’s progress significantly. When looking into self-service, spectra solutions, choose one that offers on-demand support when, where, and how you need it. There are companies out there that offer this blend of autonomous control and augmented support and it is an easy objection to overcome if you can showcase that to your team. Minimal Flexibility – Frequently there is a hesitation to move forward with self-service, spectra due to the fear of getting stuck managing a matter in a self-service, spectra tool that could become large and/or complex and require additional help/support outside of your team’s capabilities or availability.Like I mentioned above, select a tool that also offers expert support. You can ease your team members’ worries by sharing that some self-service, spectra tools offer the ability to move from self-service, spectra to full service support when needed and scale up or down quickly.Too Pricey – The last major objection that I want to address is around the fact that many still believe self-service, spectra tools are too pricey and do not offer the ROI they need to see in order to make the switch.However, in an on-prem, behind the firewall model, there often are large up-front costs to purchase and install the technology as well as continued maintenance costs during the life of the product. In addition to the hardware costs there is the increased headcount necessary to support these platforms 24x7. With SaaS, the vendor purchases and maintains the software, as well as manages ongoing costs like upgrades and licensing. Managing an IT infrastructure and maintaining servers for eDiscovery data is a big cost for law firms and corporations often with no cost recovery mechanism. This cost burden can be greatly minimized with a SaaS solution.These top objections often come up in conversations around the adoption of a new self-service, spectra solution and I hope this blog has better prepared you to address them as you work to get your team on board. Feel free to reach out to further discuss these or other objections you may be facing at bthompson@lighthouseglobal.com.ediscovery-reviewcloud, self-service, spectra, blog, ediscovery-review,cloud; self-service, spectra; blogbrooks thompson

self-service, spectra models are becoming increasingly more popular within the eDiscovery space. The ability to easily manage matters using in house teams, not only saves time and money, but it also allows companies to scale and maintain control in the ever-growing data landscape we live in today, without having to make the investment in infrastructure or additional headcount. It is no wonder so many firms and corporations are making the shift to a technology on-demand model and upgrading their internal processes.However, whether you are hoping to move away from a legacy platform or looking to upgrade your current self-service, spectra tool-kit, the process can seem intimidating and may take some convincing for those not completely on board. Below I outline some key steps to help you build a business case to propose to your teams and get the ball rolling when it comes to onboarding or upgrading your self-service, spectra practice.1. Assess the Interests of the Decision Makers – This is the first key step to getting started and will help you build your business case moving forward. To get started, list the current challenges your key decision makers are facing and whether they can be addressed with an upgraded self-service, spectra model. If folks are unsure, review the key benefits of modern self-service, spectra solutions and explore if any of them resonate.2. Outline the Goal – Once you understand the interests of your decision makers, the next step is to identify their key needs and requirements. For example, what matters most to your team? Is it accessibility, speed, data analytics, scalability, cost recovery, all-in-one tool, ease of use, low maintenance, controlled access, limited professional service hours, etc.? Define their top requirements and overall goals, and keep those top of mind while executing the next few steps.3. Do the Research – Next, dig into those challenges and key requirements and how an upgraded self-service, spectra model may meet those needs. Why will this model be of value to your team, and more specifically what are the top benefits and how do those overlap with the decision maker’s needs? Are there any client success stories that are relatable to your team’s situation? Stats?4. Develop the Pitch – Once you have conducted your research and have a solid list of key findings and benefits, outline them in a digestible manner. Think competitive matrices, tables, and PowerPoint. Feel free to leverage this Excel or PDF self-service, spectra selection matrix template. Lay out the key reasons why an upgrade makes sense and how it will meet the needs of your team.5. Present the Findings – Prior to presenting, get a meeting invite on the books with details and expectations (i.e. looking for decision maker’s feedback and preferences). It is also a good idea to preview the findings with your leader or a trusted colleague who can weigh in and provide ideas to enhance your presentation. Present your findings, any key client success stories you uncovered, as well as the benefits that matter most to your team.6. Continue the Communication – After the presentation, be sure to follow up and address any concerns or questions that came up in the meeting. If needed, set another meeting to hone in on some of those questions. Ask for feedback and continue the conversation.Building a business case to upgrade your self-service, spectra practices can require upfront research and tough conversations, but this simple six-step guide should ease that process. To discuss these steps further or for assistance developing your business case, feel free to reach out to me at bthompson@lighthouseglobal.com.ediscovery-reviewcloud, self-service, spectra, blog, ediscovery-review,cloud; self-service, spectra; blogbrooks thompson

“The world’s most valuable resource is no longer oil, but data.” That’s what The Economist said in a fascinating opinion piece in 2017 that really stuck with me. This bold statement now seems more prescient than ever, as digital data continues to explode in volume and the advent of the cloud is significantly expanding where that valuable data, or electronically stored information (ESI), lives. So how has the legal world, and particularly all of us in the eDiscovery realm, fared?While this data revolution developed, lawyers, as per usual, have been a bit slow to adapt. As we’ve grappled with how to manage the explosion of data and cloud storage has gone mainstream, new and advanced SaaS solutions tied to cloud-based technology have taken the rest of the world by storm. It was only a matter of time before corporate clients would get on board and make the move to the cloud as is evident with the large majority of corporations who have transitioned to Office 365.So as clients focus more and more on controlling their budgets and demanding more eDiscovery efficiency, shifting to modernized, cloud-based SaaS technology seems like a no-brainer for law firms. What’s not to love about immediately eliminating the inefficiencies and manual tasks that accompany traditional eDiscovery workflows and creating satisfied clients in the process?In my previous two blogs, I discussed the top reasons why SaaS, self-service, spectra eDiscovery is exactly the right solution and the way of the future for law firms, and also best practices for embracing the data revolution. In this blog, I wrap up my SaaS exploration and present the top things to consider when choosing the best and most versatile SaaS solution for your eDiscovery program.1. Quick to Onboard - Software in the eDiscovery space has had a notoriously rocky road as far as simplicity and user friendliness. Many iterations of self-service, spectra, on-prem software are too complicated and require training fit for advanced users only. Another missing piece of the puzzle has often been the lack of clear and consumable metrics on areas like billing, usage, ingestion, and processing stats which are the key to helping inform users to make better decisions. With the new generation of eDiscovery technology, lawyers and litigation support professionals would most benefit from choosing a SaaS, self-service, spectra tool that’s quick and easy to understand. Look for a tool where cases with multiple users can be easily managed across matters and locations, and where you can create, upload, and process matters quickly, all with a customizable reporting dashboard.2. Access to Industry Leading Tools - One of the biggest issues we’ve seen as eDiscovery software has evolved is the need for users of on-prem software to purchase, install, and maintain multiple tools and systems in order to have a comprehensive internal workflow that spans the EDRM. This is not only expensive, but time consuming and risky considering the security implications that come with holding client data on your own servers. With SaaS, it’s critical to choose a platform that will provide access to all of the industry leading tools from processing to analytics to production in one comprehensive tool that is purchased, maintained, and upgraded by the solution provider. Users will immediately see direct cost savings from not having to manage multiple systems themselves when they adopt this type of end-to-end SaaS solution.3. Full-Service Support - Another important consideration when selecting a self-service, spectra, SaaS tool is to choose a flexible solution provider who can scale up if your matter changes and you end up needing full-service support. While having a self-service, spectra tool allows for complete independence in key areas like processing and production, what happens when your matter gets much bigger than anticipated and the data is too unwieldy to handle in-house, or if your internal team simply needs to shift their focus to something else? In this case, it’s critical to partner with a solution provider who has solid and experienced client support teams that can jump in any time you need help in your self-service, spectra journey.4. Secure Infrastructure - Last but not least, in this age of data breaches and cybersecurity on the top of the list of concerns for law firms and corporate clients alike, make sure you fully vet any SaaS tool you’re considering by thoroughly researching the solution provider’s back-end infrastructure. Look for vendors who have a scalable architecture for data processing and automation that you’ll be able to take full advantage of while eliminating the overhead that comes with infrastructure development and management on your end. That infrastructure should come with the peace of mind of security certifications such as SOC 2 and ISO 27001. You can also eliminate the concern that often comes with the security of a public cloud by choosing a solution provider that hosts data within their own private cloud or within their own data centers.Ultimately, as the global economy continues to shift from traditional commodities and lands squarely on data as its main driver, there’s a world of opportunity ahead for the legal world and eDiscovery. With data already moved to the cloud for most companies and their focus shifted to reducing expenses and risk, eDiscovery and SaaS for law firms is a perfect fit.ediscovery-review; ai-and-analyticscloud, self-service, spectra, blog, ediscovery-review, ai-and-analyticscloud; self-service, spectra; bloglighthouse

It’s an exciting time in the world of legal tech as SaaS eDiscovery solutions, and cloud computing in general, represent an enormous amount of potential with nearly unlimited capacity of storage, power, and scalability, whether you’re handling small or very large matters. Once seen as something only big firms need to deal with for large cases, we’ve seen electronic communication in the workplace (like email and chat) become the norm and consequently eDiscovery become a typical domain for law firms of all shapes and sizes. It makes perfect sense that the proliferation of an easy-to-use, cost-effective solution is the future for an industry right on the cusp of its next iteration.So you’re ready to embrace this next era of eDiscovery and you’ve decided to adopt a SaaS, self-service, spectra tool within your firm? In my previous blog, I outlined three top reasons why SaaS makes the most sense for law firms in the age of cloud storage, especially as new and improved self-service, spectra tools incorporate the latest technology, are easy to use, and have significantly improved the efficiency of the typically arduous and expensive on-prem eDiscovery process.But transitioning even some of your firm’s in-house eDiscovery process to a SaaS solution requires careful thought around the complexities involved with security, solution support, and business continuity. To make the transition to SaaS as smooth as possible, it’s important to tailor your solution to your specific environment and create an implementation plan that will set you up for success. Here are a few suggestions for best practices to consider when you’re ready to embrace the self-service, spectra, SaaS eDiscovery revolution and leave your cumbersome on-prem environment behind.Eliminate your on-prem applications and infrastructure. Many firms have a patchwork of on-prem tools that they use for different phases of their eDiscovery workflow. A great starting point to eradicating the expense, headache, and risk that comes with maintaining your own infrastructure is to get rid of those old on-prem applications altogether and start fresh with a SaaS tool that will handle your entire workflow. That means choosing one comprehensive tool that allows you to create, upload, and process matters while also enabling you to manage your users across matters and locations from a single place. You’ll not only eliminate administrative headaches, you’ll no longer have to worry about managing data and will be free to concentrate on analyzing data while your SaaS solution provider takes on the security and infrastructure management for you.Leverage best-of-breed tools. A common problem for consumers of on-prem eDiscovery software has been needing to pull together multiple technologies to process, review, perform analytics, and produce data. While you’ve been working with that complicated patchwork of tools you’ve licensed and tried to maintain within your own IT environment, new versions of best-of-breed tools have evolved for everything from processing to analytics to review and production. Now that you’ve chosen one SaaS tool that can handle your full eDiscovery workflow, your new tool should provide you with access to the most updated and advanced tools across the EDRM without any maintenance or upgrades ever needing to be managed on your end.Ensure your solution is supported. Once you’re on board with a streamlined eDiscovery workflow with no infrastructure risks or administrative headaches and access to the most modern and best available eDiscovery tools, what happens when a matter becomes too large or unwieldy or you simply need access to a more traditional full-service support model? In this case, make sure you’re set up with a SaaS tool that is supported by a solution provider who can easily transition you from that self-service, spectra, on-demand eDiscovery model to one where they can take over when you need them to. In addition, speed to implementation is something to consider. While on-prem systems can take months to actually install and implement, a self-service, spectra, SaaS tool can literally be up and ready to use within days.Now that you’ve made the smart decision to modernize your eDiscovery program and implement a self-service, spectra, SaaS solution, it’s time to use these best practices to eliminate your expensive and risky infrastructure, streamline your workflow, adopt the most advanced best-in-breed tools, and benefit from a self-service, spectra tool that’s also backed with the peace of mind of full support from your solution provider. ediscovery-review; ai-and-analyticscloud, self-service, spectra, blog, ediscovery-review, ai-and-analyticscloud; self-service, spectra; bloglighthouse