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The LTH Competitive Analysis compares products or services within a category across key features and characteristics. In the Competitive Analysis series for ALSPs, service providers are evaluated on the basis of the services that they provide.

The LTH Competitive Analysis compares products or services within a category across key features and characteristics. In the Competitive Analysis series for ALSPs, service providers are evaluated on the basis of the services that they provide.

The LTH Requirements Template provides a full set of technical requirements along with notes to help buyers evaluate and compare solutions in the category. These requirements can be downloaded and tweaked for a particular use case and environment.

The LTH Vendor Analysis provides detailed data about a solution including information about the company and its founders, technical features and functionality, implementation, security and data privacy information, and details of training and customer service.

The LTH Evaluation Framework provides a checklist of questions or considerations to assist buyers when they are evaluating AI Legal Assistants (ALAs).

The LTH Vendor Analysis provides detailed data about a solution including information about the company and its founders, technical features and functionality, implementation, security and data privacy information, and details of training and customer service.

LTH Vendor Analysis provides a deep dive on individual solutions in a category to make it easier for buyers to make decisions and find information about a particular product.

The LTH Vendor Analysis provides detailed data about a solution including information about the company and its founders, technical features and functionality, implementation, security and data privacy information, and details of training and customer service.

The LTH Business Case provides a template for making a business case to leadership for investment in a particular type of technology, including suggesting effective ROI arguments.

The LTH Requirements Template provides a full set of technical requirements along with notes to help buyers evaluate and compare solutions in the category. These requirements can be downloaded and tweaked for a particular use case and environment.

The LTH Pilot Guide provides guidance on how to run a pilot or a POC of a specific type of technology. Before investing in an expensive technology license, it is prudent to run a pilot of the technology or undertake a proof of concept to validate the suitability of the technology to address the relevant use case(s).

The LTH Evaluation Framework provides a checklist and list of questions to guide prospective buyers through an assessment of various products in the category, and to inform product demos.

Despite the frequency in which DEI initiatives make headlines, the common expectation that large law firms hire Chief-level diversity leaders, and the brightness of spotlights from legal departments, “diversity and inclusion” is one of the least mature areas of technology in the legal market. Other leaders in law firms have significant budgets, staff, and systems, while diversity leadership does their best with a small team and manual work. The proliferation of manual surveys has benefited benchmarking visibility but, regrettably, has done so on the backs of diversity staff – each year worse than the last.

The LTH Requirements provides a full set of functional requirements for the category that can be used by prospective buyers to evaluate diversity and inclusion solutions according to the relevant use case and business goals

The LTH Vendor Analysis provides detailed data about a solution including informaiton about the company and its founders, technical features and functionality, implementation, security and data privacy information, and details of training and customer service.

The LTH Vendor Analysis provides detailed data about a solution including information about the company and its founders, technical features and functionality, implementation, security and data privacy information, and details of training and customer service.

The LTH Vendor Analysis provides detailed data about a solution including information about the company and its founders, technical features and functionality, implementation, security and data privacy information, and details of training and customer service.

The LTH Vendor Analysis provides detailed data about a solution including information about the company and its founders, technical features and functionality, implementation, security and data privacy information, and details of training and customer service.

Providing a robust ROI in terms of money saved is challenging in connection with a document management system. The Business Case document suggests some arguments that can be used in support of a proposal for licensing this type of robust platform.

An evaluation framework for your document management system incorporating technical efficacy, pricing, data governance & security, and contractual issues.

Over the last several decades, the ediscovery industry has matured significantly. It continues to develop as the demand for solutions to everyday business problems keeps growing as new types of data formats emerge, legal rules change, privacy regulations develop, and security issues continue to challenge everyone. Ediscovery software encompasses tools that enable the identification, collection, processing, review and production of electronically stored information or “ESI” and is widely used in organizations of all sizes, including corporations, law firms, and government agencies.

Before investing in technology and the associated adoption program that will be required, it is prudent to run a small pilot of the technology or undertake a proof of concept to validate requirements. This document provides expert guidance on how to run an effective pilot or POC of eDiscovery software.

The LTH Requirements provides a full set of functional requirements for the category that can be used by prospective buyers to evaluate eDiscovery software and assess whether the relevant solutions will address the relevant user cases and business needs.

The LTH Vendor Analysis provides detailed data about a solution including information about the company and its founders, technical features and functionality, implementation, security and data privacy information, and details of training and customer service.

The LTH Vendor Analysis provides detailed data about a solution including information about the company and its founders, technical features and functionality, implementation, security and data privacy information, and details of training and customer service.

The LTH Vendor Analysis provides detailed data about a solution including information about the company and its founders, technical features and functionality, implementation, security and data privacy information, and details of training and customer service.

The LTH Vendor Analysis provides detailed data about a solution including information about the company and its founders, technical features and functionality, implementation, security and data privacy information, and details of training and customer service.

Josef Q is a new product from the Josef team that allows companies to rapidly create an automated FAQ interface that is pointed at a specific document or set of documents, empowering employees to retrieve and understand information about corporate policies. In this founder interview, Sam Flynn provides an overview that highlights the value proposition and key use cases for Josef Q.

The LTH Evaluation Framework provides a checklist and list of questions or considerations to assist buyers when they are evaluating Expert Systems solutions.

The rush of new start-ups launching to market has not slowed since ChatGPT and GenAI became all the hype. We are lucky at LTH to get the opportunity to meet with and see many of these solutions early, and we’ve been impressed with some of the products that are developing in the ecosystem. What’s particularly exciting is the fact that there are some really thoughtful applications of advanced AI emerging that solve critical problems in different legal practice areas, including pain-points in M&A deal room management and due diligence, law firm matter profiling, enterprise search, litigation management, and drafting. Here we highlight some of the most promising new start-ups to watch in the GenAI space – these are not your standard foundational LLMs!

In this practical guide, Shashi Kara of Sente Advisors provides helpful tips on how to improve the way you interact with LLMs. From prompting basics, including syntax, through to semantics and the tactics you can use to improve outcomes, the guide provides an excellent educational overview of prompt engineering for beginners.

In our last article, The LLM Conundrum: To Build or Not to Build, we outlined the reasons both for and against law firms building their own proprietary LLM solutions. We also gave some insight into the types of building law firms are undertaking with generative AI and LLMs. In this article, we provide a list of providers and resources law firms and others can draw upon to support building initiatives.

Business Case ROI for a Judicial or Litigation Analytics Solution. Such a solution to users:1. The ability to draft more successful arguments based on citations and arguments presented by judges2. Access to evidence based decision-making for selection of jurisdiction based on type of action and Plaintiff/Defendant resolution3. Evidence to determine the appropriate motion practice4. Ability to evaluate judicial and opposing counsel experience for litigation strategy

Judicial Analytics: Evaluation FrameworkTechnical Efficacy1. What jurisdictions are covered and how comprehensively? What are the unique considerations in terms of content entry for various jurisdictions and how were they identified? How does your platform accommodate and normalize unique content entry?2. How does your system address abnormalities in content entry by the courts?3. Do you make the information addressed in Questions 1-2 public on your site?4. Does the search make it easy for the user to see if there are abnormalities potentially impacting the search results?

The category of judicial analytics has a few major players, with more coming into play. Lex Machina, the granddaddy of judicial analytics began with patent and trademark analytics and moved into federal, bankruptcy, appeals and states. Others such as Thomson Reuters Litigation Monitor followed. The focus for several years was on developing analytics for federal courts, with Courtlink being one exception. Lex Machina, Gavelytics and Docket Alarm began exploring state coverage. Acquisitions have played a role in shaping the judicial analytics landscape, in particular, Lexis’ acquisition of Lex Machina and FastCase’s acquisition of Docket Alarm. More recently, Westlaw Edge has come out with a comprehensive platform and substantial state court coverage and new player Trellis has made a significant impact into state court coverage.

The LTH Business Case provides a template for making a business case to leadership for investment in a particular type of technology, including suggesting effective ROI arguments.

The LTH Pilot Guide provides guidance on how to run a pilot or a POC of a specific type of technology. Before investing in an expensive technology license, it is prudent to run a pilot of the technology or undertake a proof of concept to validate the suitability of the technology to address the relevant use case(s).

The LTH Requirements provides a full set of functional requirements for the category that can be used by prospective buyers to evaluate eDiscovery software and assess whether the relevant solutions will address the relevant user cases and business needs.

The ROI from a Document Automation Business Case is both tangible and intangible.Your business case will list overall benefits, quanitifable benefits calculations (including cost savings) and costs to consider over time.

Most of the current generation of aggregation and curation products help lawyers tame the firehose of newscontained in the firms warehouse of premium subscriptions, as well as the explosion of social media resources.Each vendor’s goal is to deliver only highly relevant, actionable insights tailored to the needs of the individuallawyer or practice group.

This guidance document provides a checklist of features and negotiation issues for news aggregators. Aggregation platforms are so varied and law firm priorities are so unique that I recommend a formal RFP process in order to select the one that best fits in your organization. Here is a checklist of features and issues to consider when evaluating aggregation platforms.

Search, and retrieval more generally, is a wicked problem (ie. "messy and reactive, and with no single solution" as per Roger Martin). If you're involved in search and retrieval in any way and you're finding it easy and simple then you're doing it wrong. Yes, it's that messy. And particularly at law firms.

Proof of Concept > Pilot > Deployment for Enterprise SearchDeployment and adoption of Enterprise Search technology does not necessarily follow a standard Proof of Concept > Pilot > Broader Deployment approach as with other legal technologies. Deciding which enterprise search system to implement and partner with at your firm is almost always taken before the system is installed and linked up to any of your data. It is a huge job to clear Security, get the environment installed, and your content indexed, so a proof of concept or 'mini-pilot' can be difficult for either party to agree to.

Use the below to structure your initial requirements and evaluation 'proof-of-concept' before you begin your Pilot (see Pilot Guide), or what is most likely to become your first phase in the ongoing deployment plan. Below are several considerations that should form the basis of your vendor discussions when evaluating their products.

Smart drafting, also known as intelligent document automation, has transformed the legal landscape by leveraging technology to streamline and enhance the drafting process. This overview explores the evolution of smart drafting technology, its current state, popular use cases, the benefits it offers in terms of return on investment (ROI), as well as the risks and adoption challenges associated with its implementation.

The LTH Vendor Analysis provides detailed data about a solution including information about the company and its founders, technical features and functionality, implementation, security and data privacy information, and details of training and customer service.

The LTH Vendor Analysis provides detailed data about a solution including information about the company and its founders, technical features and functionality, implementation, security and data privacy information, and details of training and customer service.

The LTH Business Case provides a template for making a business case to leadership for investment in a particular type of technology, including suggesting effective ROI arguments.

Timekeeping software is widely used in the legal profession as the business of law is, with some exceptions, typically conducted via an hourly billing model. In recent years this model has been scrutinized as the enemy of innovation, efficiency and attorney wellness, but it is likely here to stay for many areas of legal practice.

Below are several general questions to pose to vendors when evaluating their products.*This list is not exhaustive as every organization will have different requirements. The below should help as a guide as to the types of questions you will want to consider for your organization.