Author: Onit

Future-Ready E-Invoicing: BusyLamp’s Solution for Germany’s 2025 Mandate

A major shift in Germany’s e-invoicing requirements is just around the corner—will your organization be ready?

As businesses in Germany gear up for the upcoming e-invoicing regulations set to take effect in January 2025, staying ahead of compliance requirements has never been more critical. BusyLamp is proud to introduce the InvoiceConnect enhancement for our Smart Invoice Converter (SIC) — an innovative solution designed to ensure effortless compliance, improve efficiency, and enhance data accuracy for legal teams and law firms. This new feature not only addresses Germany’s federal e-invoicing mandates but also prepares businesses for evolving EU-wide standards.

What Does the New InvoiceConnect Enhancement Bring?
Germany’s “Wachstumschancengesetz” mandates that all taxable domestic B2B transactions must utilize e-invoicing starting January 1, 2025. To meet these requirements, BusyLamp’s Smart Invoice Converter now supports:

  • Import and Processing of Multiple Formats: Easily handle XRechnung (Germany’s federal invoicing standard) and ZUGFeRD (PDF/A3 with embedded XML).
  • Automated Conversion to LEDES Format: Transform e-invoices into the globally recognized LEDES format for seamless integration with EBilling.Space (EB.S).
  • Built-in Data Validation: Ensure accuracy and completeness of invoices before submission, reducing the risk of delays or rejection.

This enhancement offers law firms and legal teams a centralized, user-friendly application to manage invoicing processes while minimizing errors and manual effort.

Why This Matters

Non-compliance with e-invoicing mandates can lead to significant operational disruptions, including rejected invoices, delayed payments, and penalties. With the BusyLamp InvoiceConnect Enhancement, businesses can:

  • Ensure Compliance: Meet Germany’s stringent e-invoicing requirements and prepare for EU-wide regulations.
  • Save Time and Resources: Automate key invoicing processes, allowing teams to focus on strategic priorities.
  • Enhance Cross-Border Operations: Benefit from robust support for multiple e-invoice formats, enabling seamless transactions within and beyond Germany.

Built for Legal Teams, Future-Proofed for Compliance

The InvoiceConnect Enhancement streamlines workflows for legal teams and law firms in Germany by integrating directly with EBilling.Space, simplifying invoice submissions, and reducing administrative burdens. With a user-friendly design, billing managers can quickly adopt the solution. Additionally, the feature is designed to adapt to evolving EU e-invoicing standards, ensuring compliance without requiring further updates. Launching December 16, 2024, this enhancement is available to all BusyLamp customers at no extra cost, empowering businesses to confidently meet the January 2025 deadline and optimize their invoicing processes.

BusyLamp’s InvoiceConnect Enhancement is your key to compliance, efficiency, and success in Germany’s evolving regulatory landscape. For more information, reach out to your account manager today. 

5 Legal Tech Tools Generative AI Can Enhance in 2025

In-house legal departments are turning increasingly to generative AI (genAI) powered solutions to address the increasing complexity of legal operations. No longer confined to repetitive task automation, genAI enables legal teams to enhance decision-making, streamline workflows, and demonstrate strategic value to the broader organization.

As generative AI becomes integral to legal tech, it is helping in-house teams overcome challenges such as managing legal spend, accelerating contract reviews, and optimizing document workflows. Here’s how this game-changing technology is reshaping legal operations.

1. Generative AI for Legal Spend Analysis

Managing and analyzing legal spend has always been a critical but time-intensive task for legal departments. Generative AI can reduce the time spent on this process by not only automating spend data analysis but also generating insights and recommendations to optimize budget use.

GenAI tools can identify trends in vendor billing, flag anomalies, and forecast future spending based on historical data. These capabilities allow in-house legal teams to make proactive adjustments, ensuring they stay on budget and align with organizational financial goals. Additionally, genAI enables teams to quickly generate detailed reports for finance departments, fostering greater collaboration and transparency.

2. Accelerating Contract Review

In the fast-paced world of enterprise business, slow contract review processes can hinder sales, procurement, and compliance. Generative AI eliminates these bottlenecks by automating the most time-consuming aspects of contract management.

With genAI, legal teams can auto-generate first drafts, review clauses against pre-approved standards, and flag missing or high-risk terms. This reduces contract turnaround times, enhances accuracy, and ensures compliance with internal policies. By integrating genAI-powered tools, enterprise legal departments can streamline negotiations and improve collaboration with other business units.

3. Enhancing Document Management

Enterprise legal departments handle vast amounts of documents, from contracts and compliance materials to litigation records. Generative AI can reduce the stress of manual document management by automating categorization, tagging, and retrieval processes.

GenAI systems analyze document content to generate metadata and organize files into logical groupings. As the system learns from user interactions, it becomes increasingly adept at predicting search needs, saving significant time for legal teams. Additionally, these systems can generate summaries and insights from stored documents, making it easier to identify key information for decision-making.

4. Generative AI for Legal Service Requests

The volume of legal service requests in enterprise settings can be overwhelming. Generative AI simplifies request intake by analyzing incoming queries and automating responses to routine questions. For more complex requests, genAI-powered platforms help prioritize tasks and route them to the appropriate team members.

This automation ensures faster response times, reduces administrative burden, and enables legal professionals to focus on high-value tasks. By improving the efficiency of handling service requests, legal departments can better meet the needs of internal clients while maintaining consistent service quality.

5. Using Predictive Analytics for Risk Management

Generative AI’s ability to analyze large datasets makes it a powerful tool for risk management. Legal departments can use genAI to predict litigation outcomes, assess contract risks, and identify compliance gaps before they become critical issues.

By leveraging historical data, genAI platforms generate actionable insights that empower legal teams to take proactive steps. This not only mitigates risks but also positions the legal department as a strategic advisor within the enterprise.

Why Generative AI is Critical for Legal Teams in 2025

Generative AI is not just an enhancement to existing workflows—it is a transformative force that allows legal departments to operate with greater efficiency, accuracy, and strategic impact. By adopting genAI tools, enterprise legal teams can:

  • Gain deeper insights into legal spend
  • Reduce contract review times and improve collaboration
  • Enhance document organization and accessibility
  • Respond faster to legal service requests
  • Predict and mitigate risks proactively

In 2025, in-house legal departments at enterprise-level companies must leverage generative AI to keep pace with evolving business demands and position themselves as indispensable strategic partners.

Why Choose Onit for Generative AI in Legal Ops?

As enterprise legal departments embrace generative AI, Onit provides the tools and expertise needed to navigate this new era of legal technology. Interested in learning more? Schedule a demo today.

How Generative AI is Transforming Enterprise Legal Operations

Gartner projects that enterprise spending on legal software will triple between 2021 and 2025, with venture capital investments in legal tech surpassing $1 billion in 2022. These trends underscore a significant shift in how enterprises view legal operations—no longer as a cost center but as a strategic driver of business growth.

To meet growing demands, legal teams are embracing generative AI (genAI) solutions that elevate efficiency and unlock creative problem-solving capabilities. GenAI tools do more than automate tasks– they analyze patterns and enhance collaboration, helping enterprise legal departments optimize spend analysis, accelerate contract reviews, and streamline document management.

As the market gets flooded with buzzy AI products, it’s important to select a solution that can meet your legal team’s unique needs. Look at how generative AI is transforming the legal tech landscape for enterprise companies in these 3 key functions.

1. Optimize Legal Spend Analysis

Managing and analyzing legal spend is a critical but often time-consuming task for enterprise legal teams. Standard e-billing tools provide raw data but distilling that data into actionable insights often requires significant manual effort. Generative AI speeds this process up by not only analyzing past spend data but also generating clear reports, summaries, and suggestions tailored to enterprise needs.

With genAI-powered legal spend management tools, legal teams can automatically flag unusual billing patterns, such as vendors exceeding approved budgets or inconsistent use of alternative fee arrangements. These tools generate detailed, user-friendly insights, enabling legal professionals to uncover inefficiencies, negotiate better rates, and make data-driven decisions that reduce costs.

GenAI also offers predictive analytics, generating forecasts for future spending based on historical data and real-time trends. These forecasts help enterprises proactively adjust budgets and align with financial goals. Sharing these forecasts with finance departments fosters collaboration, ensures accurate budgeting, and demonstrates the strategic value of legal operations.

2. Accelerated Contract Review

For enterprise companies, timely contract review is essential to closing deals and maintaining compliance. However, traditional review processes often slow down due to manual inefficiencies. Generative AI can transform contract workflows by creating tailored drafts, automating redlining, and suggesting improvements based on previous data and predefined parameters.

Generative AI contract management tools like Onit’s ReviewAI analyze contract templates, clause libraries, and negotiation histories to produce pre-reviewed drafts, highlight missing terms, and flag potential risks. For example, genAI can automatically insert appropriate jurisdictional clauses or suggest redlines to align with a company’s standard playbook.  This minimizes delays in the sales cycle and improves legal accuracy.

Beyond expediting the process, generative AI fosters better collaboration between legal and sales teams. By reducing back-and-forth communication and eliminating bottlenecks, enterprise companies using genAI tools report faster deal closures (51% in this instance) and improved working relationships between departments. According to Onit’s Enterprise Legal Reputation Report, genAI not only accelerates contract turnaround times but also enhances the perception of legal teams as proactive, value-driven business partners.

3. Streamlined Document Management

Companies generate vast amounts of legal documents, from contracts and compliance reports to intellectual property filings. Managing and organizing these documents efficiently is crucial, and generative AI provides an innovative solution by automating categorization, tagging, and file organization while enhancing search and retrieval capabilities.

GenAI-powered document management systems (DMS) use natural language understanding to scan and analyze content within legal files, then generate metadata and labels that make locating documents intuitive and fast. The system improves over time, learning from user behavior and new uploads to create increasingly relevant organizational structures. 

In addition, generative AI enhances knowledge sharing across departments without compromising security. By creating access-restricted document views and summaries, genAI allows teams to access critical information quickly while keeping sensitive details protected. This seamless approach not only reduces the administrative burden on legal teams but also supports collaboration across the enterprise.

Why Enterprises Need Generative AI in Legal Operations

As enterprise legal departments face growing responsibilities, generative AI provides the scalability and creativity needed to meet these challenges head-on. Unlike traditional AI, genAI enhances workflows by creating new workflow options, offering tailored insights, and improving collaboration.

By optimizing legal spend, accelerating contract workflows, and transforming document management, generative AI positions legal teams as strategic business partners capable of driving growth. Embracing generative AI is no longer optional for enterprises aiming to stay competitive—it’s a necessity for sustainable growth in the modern legal landscape.

Adaptable AI for Tailored Contract Workflows

From drafting and negotiation to review, approval, execution, and post-signature management, learn how Onit’s ReviewAI delivers intuitive, collaborative, user-friendly, and responsible AI-driven tools for enterprise-level contract management.

AI beyond the hype: Understanding generative AI in the legal industry

Generative AI (genAI) is redefining the way the legal industry operates, moving beyond traditional AI capabilities. While AI has been used to analyze data and automate repetitive tasks, genAI introduces the ability to create content, such as drafting legal documents, generating case summaries, and even assisting in contract negotiations. This technology enables a shift from process automation to creative problem-solving in legal operations.

Unlike traditional AI, generative AI utilizes advanced algorithms to generate human-like text based on input prompts. It’s not about replacing legal professionals but enhancing their capabilities to deliver precise, efficient, and innovative solutions.

Core Components of Generative AI in Legal

1. Natural Language Processing (NLP) and GenAI

Natural language processing, or NLP, is how software makes sense of written words. While you and I learned language by example, computers take a more algorithmic approach.

Take this sentence, for instance, “On safari, I took a picture of a giraffe in my pajamas.” Although the word order and structure is a little ambiguous, people can parse out the intended meaning. A human will correctly interpret that the speaker is the one on safari taking pictures and will also understand that the speaker, not the giraffe, is the one wearing pajamas. A human makes this correct interpretation of the sentence based on their knowledge about giraffes and pajamas.

Natural language processing, on the other hand, breaks the sentence into nouns, verbs, and other parts of speech. Then, NLP technology transforms the imprecise text in documents, contracts, spoken language, and silly sentences about giraffes into a precise hierarchy of related and labeled components. These sentence structures can be used on their own, but they are often used as inputs into machine learning algorithms to predict outcomes.

NLP is at the heart of generative AI’s ability to understand and create legal text. By analyzing the structure and semantics of language, genAI applications can:

  • Draft contracts, legal briefs, and memos based on specific criteria
  • Summarize lengthy case law, speeding up legal research
  • Identify and flag problematic clauses in contracts

For example, a legal team might use genAI to review hundreds of contracts, extracting key clauses or generating summaries of liability terms, reducing review time dramatically.

2. Machine Learning in GenAI: Supervised and Unsupervised Approaches

Machine learning is broadly broken down into two major categories: supervised and unsupervised. Generative AI leverages both supervised and unsupervised machine learning techniques:

  • Supervised Learning: Involves training the AI on annotated datasets to perform specific tasks, like identifying enforceable clauses in NDAs or predicting outcomes of litigation based on historical data.
  • Unsupervised Learning: Enables clustering of similar clauses or identifying patterns across case law, providing new insights into legal strategies or compliance risks.

When combined with generative models, these algorithms enable not just analysis but the creation of new, tailored legal documents and predictions that align with a firm’s unique needs.

3. Generative Capabilities for Complex Tasks

Generative AI extends beyond task automation, which what traditional AI does, by addressing complex, creative legal challenges. Applications can include:

  • Drafting detailed M&A agreements tailored to jurisdictional requirements
  • Generating negotiation-ready redlines for contracts based on historical data and client preferences
  • Providing AI-assisted legal advice for routine queries, improving client interactions

How GenAI Transforms Legal Workflows

Generative AI is revolutionizing legal workflows by enhancing efficiency and enabling professionals to focus on higher-value tasks. By automating time-consuming processes like document drafting, legal research, and client interactions, genAI not only accelerates operations but also improves the precision and consistency of legal outputs. Here are a few areas genAI is transforming how legal teams operate in a fast-paced and competitive industry.

Drafting and Reviewing Contracts

With genAI, legal professionals can quickly generate first drafts of contracts and analyze documents for compliance. For instance, genAI tools might highlight missing clauses, flag inconsistencies, or suggest alternative language based on predefined playbooks.

Legal Research and Knowledge Management

GenAI accelerates legal research by summarizing precedents, providing case insights, and even suggesting arguments based on past litigation outcomes. Its ability to parse vast legal datasets ensures faster and more comprehensive research outcomes.

Client Interaction and Engagement

GenAI-powered chatbots can handle initial client consultations, providing answers to frequently asked legal questions or guiding clients through onboarding processes. This allows lawyers to focus on high-value tasks while ensuring clients receive timely responses.

Challenges of GenAI in Legal

Like all tools, genAI isn’t without its risks. In addition to the challenges genAI poses, the legal industry itself also introduces unique problems to handling all the data needed to train and use genAI:

  1. Data Privacy and Security: Handling sensitive legal information requires robust data governance practices to maintain client confidentiality.
  2. Accuracy and Oversight: While genAI generates content, human review is crucial to ensure compliance and mitigate errors.
  3. Bias in Algorithms: Ensuring fairness and objectivity in AI-generated outputs is essential, especially in areas like litigation where impartiality is critical.

The Future of Generative AI in Legal

Generative AI is poised to become an integral part of legal operations. According to industry analysts, the adoption of genAI in legal workflows is expected to double within the next five years. Its potential to enhance efficiency, reduce costs, and improve accuracy makes it a valuable tool for modern legal teams.

While genAI is not a replacement for human expertise, it is a powerful ally. By taking over routine tasks and generating valuable insights, it enables legal professionals to focus on complex, high-impact work.

In conclusion, generative AI in legal is not about replacing lawyers but empowering them to work smarter and more efficiently. By harnessing its capabilities, legal teams can deliver better outcomes, faster responses, and more consistent service to their clients.

Generative AI is more than just a trend; it’s a transformative force that’s here to stay.

Adaptable AI for Tailored Contract Workflows

From drafting and negotiation to review, approval, execution, and post-signature management, learn how Onit’s ReviewAI delivers intuitive, collaborative, user-friendly, and responsible AI-driven tools for enterprise-level contract management.

Elevate Compliance and Clarity: The Game-Changing Benefits of Legal Entity and Party Hierarchies in Contract Management

Navigating legal complexities can now be visualized with OnitX’s new Hierarchy enhancement for Contract Lifecycle Management (CLM). This feature empowers users to map out the relationships between legal entities and parties directly within the platform. For organizations, this means a clearer path to compliance, streamlined contract negotiations, and better-informed decision-making.

Easily identify which entities are responsible for each contract—be it subsidiaries, subcontractors, or third-party providers. With structured legal and party hierarchies, OnitX ensures smoother operations, accountability, and a holistic view of all contracting relationships. 

Here’s what’s new.

  1. Legal Entity Hierarchies: Manage complex entity structures and simplify compliance for global or domestic operations.
  1. Party Hierarchies: Understand who’s involved in each contract, improving transparency and accountability.

Key Benefits

  • Greater Transparency: These hierarchies enhance visibility into contract relationships, legal entity structures, and party interactions, reducing the chance of errors or overlooked obligations
  • Improved Compliance and Risk Management: Understanding how contracts, entities, and parties relate helps organizations remain compliant with regulations and identify risks early in the process
  • Operational Efficiency: Hierarchical structuring of contracts, entities, and parties reduces time spent tracking obligations, allows for better decision-making, and simplifies the negotiation and renewal process

OnitX CLM customers will have access to this feature enhancement on November 19, 2024. If you are interested in learning how OnitX CLM could transform your workflow, schedule a demo here.

How Legal Software Helps You Streamline Repetitive Tasks with Automation 

As a legal professional you are likely managing loads of legal documents and paperwork on a daily basis. It can be a challenging task to keep everything orderly and consistent—even for the most organized legal professionals. But, with legal document automation, you can put an end to the document chaos. Legal document automation enables you to streamline the legal document creation process by creating smart templates and forms that work for you automatically.

Through a centralized location for all your legal correspondence, agreements, contracts, advisory opinions and other legal documents you can boost your team’s productivity and efficiency as you spend less time creating documents from scratch and more time focusing on resolving your critical cases and matters. 

There are numerous advantages to implementing legal document automation within your organization. Here are four easy ways to streamline repetitive tasks through document automation: 

Four Ways Automation Can Help Alleviate Repetitive Tasks 

  1. Self-service document generation. 

If you are like most legal professionals, you work with a large number of documents each day. The amount of time spent drafting, customizing and editing each document can be extensive and repetitive.  

Legal document automation can save you time and valuable resources by streamlining this process through the use of automated templates and forms. This occurs through the following steps:

  • Template Creation. Users set up templates for standard documents that are frequently used or needed (i.e. Wills, agreements, contracts, forms and letters).
  • Input Answers to Questions. Users input specific information in the template or automatically utilize information already contained in the file.
  • Document Generation. Once the information is obtained, the document is automatically generated with the specific information that was provided. 
  • Document Finalization. Once you have reviewed the document that was created, you can make any changes as well as save all the necessary formatting changes. 

There are no limits to the customizations and requirements that can be established to ensure each document is precisely tailored to your specific needs. Subsequently, when team members

need to access a standard document or contract, they simply need to respond to a few prompts,

and the document will be automatically generated with just a few clicks.

  1. Maintain compliance within all your legal documents. 

Legal documents rely on consistency. One of the best ways for legal professionals to cut down on errors and discrepancies is through incorporating standardized templates and forms. You can ensure your legalese and formatting is consistent across all documents through built-in legal document automation. 

With this feature, you can utilize any data stored in your cases or matters as a merge field for document assembly. Fully integrated with standard programs like Microsoft Word, the best legal

case management systems help you create and edit documents without ever having to log out of your system. You have full access to all the features of Microsoft Word for creating and formatting your standard templates. 

Legal document automation has thousands of data fields (tokens) that can be customized to create master templates in line with your unique practice requirements. Users can also create their own tokens that prompt for data insertion when a document is generated. These options allow you to spend less time on administrative tasks and more time focused on resolving your legal cases and matters. 

  1. Automated legal matter intake. 

The advancements in legal technology today enable legal professionals to design a framework for intake that is seamless for both the requestor and the legal team. This new way to work eliminates the stressors that come with dealing with manual data entry and lost pieces of paper.

Legal automation can help you create a customized template for intake requests to capture all the necessary information you need to open new files without picking up the phone or a pencil.

The options are endless when it comes to the types of data you can capture. Typically, the following information makes up an intake request: 

  • Personal Information: This section includes fields for personal and contact information as well as department details if necessary. 
  • Legal Services Requested: This section can include a checklist of services offered so that the client can select any and all that may apply. You can also include a brief description of each service offered on the form. 
  • Case Explanation: This section provides the opportunity for the client to describe the incident or help needed. There may be specific prompts to include based on your unique organization to ensure you get all the information you need.

The beauty of customizable legal document automation is the opportunities are endless when it comes to creating intake forms that work for your unique department or organization. 

  1. Approval workflow automation.

Once you have established the right templates and forms for all your various needs, legal case management software allows you to establish a customized workflow to help ensure standards are followed and deadlines are met. 

Legal team members can configure workflows to trigger an unlimited number of responses to specific actions. Based on users’ responses, your legal case management system will trigger actions such as the creation of calendar items, tasks, email notifications, approvals and more. This automated workflow helps the legal process run more smoothly and saves you time as the system sends automated notices to team members to review or approve documents, complete certain tasks, indicate deadlines, etc.

One critical aspect to legal automation is the ability to alert each legal team member of calendar notifications, due dates or tasks through the legal case management system. This takes team productivity and efficiency to new heights as you can set your workflow up once and let the system work for you thereafter. 

Legal Software That Works to Move Your Cases Along Automatically 

In a world that moves fast and is continually asking legal professionals to do more with less, it is essential to consider how legal automation can help you become more efficient and productive. If you have consolidated your legal data in one location, why not leverage it to your advantage through automation?

Legal Files has built-in legal document automation features to help you get the most from your data—so you can spend less time on administrative, repetitive tasks and more time on larger, strategic goals and legal operations.  


With Legal Files Software, you can utilize tools specifically designed to help legal teams be more productive through automation, workflows, standardized templates and more. You can also have the peace of mind that comes from knowing that your data is secure. 


With more than 30 years of experience supporting organizations across a number of industries, Legal Files gives you the security, peace of mind and much-needed collaboration that can only come from a unified, centralized platform for all your legal cases, matters, issues or projects. 


We wanted, and needed, a corporate legal software with a workflow system. We developed a whole process for legal holds using Legal Files, up to, and including, the end of the cycle with a file closing procedure that reminds us to release the legal hold. We created the appropriate workflow wizards to trigger reminders at specific intervals and document templates to generate legal hold memos.”

Alayne P. Russom, a Legal Files Customer

Thrivent Financial for Lutherans 


Request a demo to discover how we assist organizations like yours in managing what matters to

you.

Onit Recognized as Major Player in IDC MarketScape 2024 CLM Software Vendor Report

Houston, October 15, 2024 – Onit, Inc., a leading provider of enterprise workflow and artificial intelligence platforms, has been named a Major Player in the IDC MarketScape: Worldwide Contract Life-Cycle Management Software for Corporate Legal 2024 Vendor Assessment. This prestigious recognition reflects Onit’s continued dedication to innovation and excellence in the contract lifecycle management (CLM) space.

A Testament to Innovation and Excellence

The IDC MarketScape report is a comprehensive evaluation of the capabilities and business strategies of CLM software vendors, with a specific focus on how these platforms support corporate legal departments. Onit’s inclusion as a Major Player underscores the strength of its product offerings, innovation in CLM, and long-term strategic vision in this competitive market.

“As we continue to evolve and expand our products powered by AI, being recognized as a Major Player in the IDC MarketScape report is a significant milestone,” said Michael Farlekas, CEO of Onit. “This recognition reaffirms our commitment to delivering transformative solutions that empower legal teams to manage contracts efficiently and strategically.”

Onit’s CLM software combines advanced workflow automation, artificial intelligence, and data-driven insights to optimize contract management, reduce risk, and improve compliance. By streamlining contract lifecycle processes, Onit helps legal departments drive value and efficiency across their organizations.

About ONIT

Onit is a global leader in AI-enabled workflow automation solutions for legal, compliance, sales, IT, HR, and finance departments. With Onit, companies can transform best practices into smarter workflows, better processes, and operational efficiencies. With a focus on enterprise legal management, matter management, spend management, contract lifecycle management and legal holds, the company operates globally. It helps transform how Fortune 500 companies and billion-dollar corporate legal departments bridge the gap between systems of record and systems of engagement.Onit helps customers find gains in efficiency, reduce costs, and automate transactions faster. For more information, visit onitprostg.wpengine.com.

Introducing ReviewAI for Generative AI-Driven Contract Review 

A New Era of Contract Lifecycle Management (CLM): Quickly and Accurately Draft, Review, Redline, and Edit All Types of Contracts in Minutes 

The legal landscape is rapidly evolving, with technology at the forefront of this transformation. At Onit, we understand that the demands on legal teams are higher than ever before. Efficiency, accuracy, and speed are no longer just nice-to-haves—they are essential. That’s why we are excited to introduce the enhanced ReviewAI, now powered by Onit’s industry-leading generative AI capabilities. 

Pioneering AI in Contract Management 

For over three years, ReviewAI has set the standard in automated contract review as the first software that truly reads, writes, and reasons like a lawyer. But we didn’t stop there. We’ve continuously innovated to ensure that ReviewAI not only meets but exceeds the needs of modern legal departments. Today, we are proud to announce that ReviewAI is even more powerful, thanks to its integration with the latest in generative AI and large language models (LLMs). 

Jean Yang, Onit’s VP of GTM Strategy and AI Transformation, shares, “We’re extremely proud to offer ReviewAI as a standalone product for organizations everywhere. By deploying the game-changing technology of generative AI, we are providing intelligent contract review that is intuitive, collaborative, and user-friendly.” 

Why Generative AI Matters for Legal Teams 

Generative AI is not just another buzzword—it’s a transformative force that is reshaping how legal teams operate. With ReviewAI, you can draft, review, redline, and edit all types of contracts in minutes. The result? Legal teams can focus on strategic priorities rather than getting bogged down in routine tasks. 

ReviewAI delivers: 

  • 4x faster contract audit and migration projects 
  • 70% faster contract negotiations 
  • 400% accelerated data entry and validation projects when connected with Onit CLM, reducing human effort by 60% 

This isn’t just about speed—it’s about enhancing accuracy and boosting overall organizational performance. By leveraging Generative AI-powered chat and virtual assistants, ReviewAI allows users to ask questions and receive answers on the fly, making contract reviews more efficient and precise. 

Reimagining Contract Playbooks 

One of the standout features of ReviewAI is its library of playbook templates, pre-configured with legal concepts, fallbacks, and approved clauses. These templates are ready to be used out-of-the-box, accelerating the review process and ensuring consistency across your legal documents. Legal and business leaders can also configure these playbooks to align with their unique business standards, providing a tailored approach to contract management. 

Natural Language Processing (NLP) further enhances ReviewAI’s capabilities by providing AI-powered legal text processing. ReviewAI meets you where you work, whether it is in Word, via email or a multilingual environment, making it easy for legal professionals or business users to adopt and utilize these tools.  

Moreover, Onit’s commitment to ethics and privacy is paramount. Our detailed Ethics & Privacy / Zero Data Retention policy, coupled with robust support for EU customers, ensures that your data is secure and managed responsibly. 

The Future of Contract Management is Here 

As Jean Yang eloquently states, “ReviewAI represents the future of contract review, delivering precision, speed, and an AI virtual assistant that speaks your language. It’s the adaptable, AI-powered solution for tailored contract workflows that agile organizations need to scale and adapt in an ever-changing, fast-paced business environment.” 

In a world where business agility is key, ReviewAI offers the tools that legal teams need to stay ahead. Whether you’re looking to streamline your workflows, improve accuracy, or simply keep up with the pace of business, ReviewAI with Generative AI technology is your answer. 

Take the Next Step 

Ready to experience the future of contract management? Schedule your demo of ReviewAI today and discover how generative AI can transform your legal operations. 

Practical AI Prompting for Legal Teams: What You Need to Know

Feeling comfortable with core prompting concepts? Great — now it’s time to take the next step with integrating AI into your Legal workflows. Let’s walk through some examples to implement these skills. You can use any AI tool (ChatGPT, Anthropic) to illustrate these different prompting techniques.

Feel free to follow along by creating your own prompts, inputting them into the tool, or simply reviewing the examples provided. You can copy and paste the sample prompts into ChatGPT to test it yourself.

After each prompt, think about ChatGPT’s response and how you might refine the prompt using techniques like interactive dialogue or iterative refinement. The prompts below aim to demonstrate ways legal professionals can collaborate with AI to get the insights they need.

Exercise 1: Basic Legal Prompting

Basic Objective:
Have AI summarize a legal contract.

Contract Sample to Summarize:
“THIS AGREEMENT entered into this 1st day of January 2023, by and between Party A, a corporation organized under the laws of the State of California (‘Party A’), and Party B, a corporation organized under the laws of the State of New York (‘Party B’). Both parties agree to maintain and protect the confidential information obtained during the course of this agreement, following the confidentiality clause outlined in Section 5.”

Persona and Specifics:
You are a Paralegal assisting a lawyer, and your role is to review and summarize key points of contracts. The lawyer needs quick understanding through clear and concise summaries of the essential contract content.

Objective:
Short Summary Points: Offer short, precise summaries that illuminate the crucial contract aspects like agreement parties, confidentiality obligations, and other significant rights or duties. Summaries should be brief yet encompassing, shedding light on the contract’s main elements without over-detailing.

Constraints:
Output Length: Limit each summary point to two sentences maximum, with the overall response not exceeding 1000 characters.

Examples (Few-Shot Prompts):
Input: “A clause in the contract defines the agreement parties.”
Output: “Agreement Parties: Party A (California-based) and Party B (New York-based) are engaged in this agreement, each with distinct rights and obligations.”

Input
: “Section 5 of the contract outlines the confidentiality obligations.
Output: “Confidentiality: Both Party A and Party B are bound to protect and uphold confidential
information as detailed in Section 5 of the agreement.”

Accuracy:
Ensure summaries are exact and faithful to the contract’s text, avoiding assumptions and inaccuracies. Summaries should be strictly derived from the contract information.

Format:
Summaries should be presented in a bullet-point format. Each point must have a headline followed by a brief description, ensuring easy readability and understanding even for individuals not specialized in law.

AI Task:
Given the sample contract snippet above, craft a concise summary following the objective, constraints, examples, and format detailed in the Crafted Prompt for AI. Ensure your summary accurately reflects the contract’s content, facilitating quick and clear comprehension for the lawyer you are assisting.

Follow-up questions:
• Iterative Refinement: Ask it to summarize the key points in 3 bullet points instead
of full sentences.
• Interactive Dialogue: Could you clarify the confidentiality obligations – who is responsible for maintaining confidentiality?
• Chained Reasoning: What are the consequences if confidentiality is breached? And then, have it explained based on its previous summary.
• Socratic Questioning: What factors should be considered in determining if this confidentiality clause provides adequate protection?
• Self-Reflection: Review your summary. What are 1-2 ways you could improve the clarity or conciseness?

Exercise 2: Intermediate Prompting

Basic Objective:
Generate LinkedIn posts using AI based on an IDC MarketScape report.

Report Sample to Summarize:
The IDC MarketScape report content provided as input to AI.

Persona and Specifics:
You are an Enterprise Marketer working for a leading legal tech company. Your primary role involves creating engaging content for LinkedIn, blogs, and emails to inform and attract potential clients and partners.

Objective:
Short Summary Points: Deliver succinct, engaging LinkedIn posts capturing key findings and insights from the IDC MarketScape report. The focus should be on the unique capabilities and values of your company over competitors.

Constraints:
Output Length: Each LinkedIn post should not exceed 280 characters (standard LinkedIn post length), and the overall content generated should be close to 3000 tokens to yield multiple LinkedIn posts.

Examples (Few-Shot Prompts):
Input: “The IDC report mentions the unique capabilities of the leading legal tech
companies.”
Output: “Leading in legal tech! Our capabilities stand out in the latest IDC MarketScape report. Discover how we surpass competitors! #LegalTech #IDCReport2023”
Input: “The IDC report emphasizes the importance of business values.”
Output: “Business values at the forefront! The IDC MarketScape report echoes our
commitment to integrity and innovation. #LegalTechValues #IDCInsights”

Accuracy:
Ensure LinkedIn posts capture the essence of the IDC MarketScape report without misrepresentation. The posts should strictly adhere to the report’s findings while highlighting the company’s strengths..

Format:
Posts should be presented in a casual, engaging style suitable for LinkedIn. Each post must capture attention and motivate readers to learn more about the company and the report.

Temperature:
A temperature of 1 is set to encourage the AI to generate creative content. The temperature setting influences the randomness and creativity in the generated text, with higher values resulting in more creative outputs.

AI Task:
Given the sample IDC MarketScape report snippet above, craft LinkedIn posts following the objective, constraints, examples, and format detailed in this Crafted Prompt for AI. Ensure your posts accurately reflect the report’s content and promote the company’s unique position in the legal tech landscape.

Follow-up questions:
• Iterative Refinement: Can you reduce the length of this post while retaining its key message?
• Interactive Dialogue: What were the primary findings regarding our company in the IDC report?
• Chained Reasoning: Based on our company’s highlighted capabilities in the IDC report, how do we compare to our main competitor?
• Socratic Questioning: How does the report’s emphasis on business values differentiate us in the market?
• Self-Reflection: Review the posts you generated. Are there ways to make them more engaging or relevant to our target audience?

Want to learn more about how you can unlock the true potential of AI systems (including advanced prompting techniques)? Download our full eBook entitled The Legal Professional’s Handbook: Generative AI Fundamentals, Prompting, and Applications.

5 Key Factors to Consider When Integrating AI into Your Legal Department

Integrating advanced legal AI tools like LLMs catalyzes a significant shift for in-house legal teams. These models are evolving from mere tools to invaluable partners, extending in-house professionals’ capabilities. Adopting legal AI software is a strategic decision for in-house teams that can transform service delivery, enhance productivity, and provide data-driven insights.

Here’s a closer look at five key factors to think about when integrating AI:

1. Cost Considerations

Immediate Efficiency Gains: AI automation of repetitive tasks like contract reviews can yield direct time savings, reducing manual hours spent.

Optimize Spend: The cost savings allow for investments in training, advanced AI tools, and other high-value initiatives rather than repetitive manual work.

2. Workflow Evolution

Reskilling: With AI excelling in routine tasks, in-house team members can take
on more complex responsibilities, upskilling into higher-value work.

Ongoing Learning: As AI evolves, so must in-house professionals’ skills. Regular AI training ensures everyone stays updated on the latest developments.

3. Data-Driven Insights

Instant Analysis: AI for legal documents can provide real-time insights from data that previously required extensive manual analysis. This empowers faster, informed decisions.

Proactive Risk Monitoring: AI analysis of contracts and documents can proactively detect risks, allowing preventative mitigation.

4. Change Management

Addressing Hesitancy: Hosting regular workshops provides a venue for hesitant team members to gain familiarity with AI systems in a collaborative setting. This can ease adoption.

User Feedback: Encourage continuous user feedback on AI tools. On-the-ground insights allow refinements tailored to team needs.

5. Integration with Other Technologies

Legal Tech AI Synergy with Blockchain: AI can help validate blockchain data beyond smart contracts, offering a more robust solution for secure transactions or records.

Collaborative Platforms: AI can seamlessly integrate with collaborative tools and platforms used by legal firms, ensuring a cohesive workflow. Whether it’s document collaboration or scheduling client meetings, AI can bring efficiency to these tasks.

Adaptive Systems: The beauty of modern AI is its adaptability. By connecting it with tools like CRMs or document management systems, it can learn and adapt based on historical data and user interactions.

Integrating AI is an ongoing journey requiring strategic planning, skills development, and a willingness to evolve. The payoff makes this effort invaluable for in-house productivity and insights. With thoughtful change management, AI transitions from an external tool to an intrinsic capability. Involvement and feedback from professionals is the key to ensuring the tech aligns with team needs. With meticulous implementation, AI becomes a seamless ally rather than a disruptive presence, propelling teams to new heights.

Want to learn more about how you can unlock the true potential of AI systems (including advanced prompting techniques)? Download our full eBook entitled The Legal Professional’s Handbook: Generative AI Fundamentals, Prompting, and Applications.