Category: Company News and Events

Inc. Ranks Onit as One of the Fastest-Growing Companies in Texas

Onit has once again been honored by the Inc. 5000 awards program – this time scoring #44 on the Inc. list of the top 250 fastest-growing companies in Texas. This is the second time we have been on the regionals list, moving from #70 in 2020 to #44 in 2021 with two-year revenue growth of 273%.

Out of the 250 companies on the list, Onit is among only 20 that are repeat honorees.

According to our CEO and co-founder Eric M. Elfman: “This award for fast growth is significant, given the challenges we faced during 2020 with the pandemic. Being among the 250 fastest-growing companies in Texas further validates our strategy of focusing on our customers and continually fostering innovation.”

Overall, companies on the Inc. 5000 Regionals: Texas 2021 list had a median growth of 95%, total revenue of more than $4 billion and added more than 2,400 jobs.

The 2021 Inc. 5000 Regionals are ranked according to percentage revenue growth when comparing 2017 and 2019. To qualify, companies have to be U.S.-based, privately held, for-profit and independent—not subsidiaries or divisions of other companies. Complete results of the Inc. 5000 Regionals: Texas can be found at https://www.inc.com/inc5000/regionals/texas.

But wait – There’s More! Onit is Also On the Austin Business Journal’s Austin-Area Tech Employers List

In addition to being named one of the fastest-growing companies in Texas, we are also happy to announce that Onit has landed on the Austin Business Journal’s Austin-Area Tech employers list. This year we joined the ranks of more than 100 other companies, including Dell, Apple, IBM and Amazon.com, coming in at #78. Onit opened its Austin office in 2012, which is now located on the north side of the city.

The Austin Business Journal ranks Austin-area tech employers that provide proprietary technology that changes the way business is done. Overall, the list includes hardware and software makers, internet-based services, e-commerce companies, semiconductor corporations, manufacturers, biotech firms and artificial intelligence businesses. Information for the list is gathered from ABJ surveys, news coverage and company websites.

This news is inspiring for us because Onit was also recently included on both Forbes’ America’s Best Startup Employers and the Houston Chronicle’s Top Workplaces lists.

Come Work at Onit

Onit is hiring worldwide, aiming to bring even more employees on board to continue our rapid growth. If you’re interested in learning more, go to our careers page or check out Glassdoor and LinkedIn to see reviews.

Onit Joins the 2021 Forbes List of America’s Best Startup Employers

We are excited to announce that Onit ranked #160 on the second-annual Forbes list of America’s Best Startup Employers. Forbes evaluated more than 2,500 companies before paring the list down to 500 total.

Being included is a rewarding recognition of our company’s commitment to creating an engaging work experience for its employees. Our commitment to employees played a sizable role in getting us on the list. At Onit, success is about more than just financial health.  When faced with the “new normal” forced by the pandemic, we kept employees’ well-being front and center with honest communications, fun virtual events, gift cards, care packages and additional time off to ensure mental and physical health.

According to our CEO and co-founder Eric M. Elfman, “The pandemic presented multiple challenges that led us to reevaluate how we do business. But no matter what, we prioritized our employees, protected jobs and continued to hire. We hired more employees in 2020 than in 2019, and we will hire even more this year as we continue to grow.”

About the 2021 Forbes America’s Best Startup Employers Awards

The Forbes award, researched with partner Statista and based on over 7 million data points in relation to 2,5000 companies, recognizes companies based on three criteria:

  • Employer reputation – Statista reviewed articles, blogs and social media posts to get a sense of the corporate culture diversity and employee engagement at each company considered for the rankings.
  • Employee satisfaction – Statista also looked at online reviews and other evidence of company growth, including website traffic and headcount over two years.
  • Location and age – Companies had to be headquartered in the U.S., have at least 50 employees and be founded between 2011 and 2018.

Additional Onit Awards

The Forbes recognition is just the latest in a series of honors and rewards for Onit. Awards in 2020 included:

  • The Houston Chronicle Top Workplaces named Onit as #30 on the list and gave the company the program’s only Communications Award.
  • The Deloitte Technology Fast 500 ranked Onit as #190.
  • Growjo listed Onit as #52 for growth in the technology services category, #20 for Texas and #648 on its overall Growjo 10K.
  • Magazine and the Syracuse University’s Institute for Veterans and Military Families included Onit on their Vet100, a list of the 100 fastest-growing veteran-owned businesses.
  • The Houston Business Journal ranked Onit #9 on its Fast 100 and #3 on the inaugural Middle Market 50.

The press release about the 2021 Forbes America’s Best Startup Employers is listed here.

Visit the Forbes website to see a complete list of winners.

Interested in a Career at Onit?

Apply to join Onit! You can see current openings on our Onit Careers page. We believe in transparency with our candidates from the start here at Onit, so we encourage you to check out Glassdoor and LinkedIn to find more information about us.

If you’d like to hear more about Onit’s culture, tune in to this podcast episode featuring Angela Mulligan, director of organizational health, Carlos De Leon, senior recruiter and Nash Gates, our Onit podcast host and demand generation manager.

Free Yourself from Legal Invoice Review with InvoiceAI

What’s the best part of the day for in-house counsel? Probably not legal invoice review.

While it’s often necessary to ensure adherence to outside counsel billing guidelines, it still consumes valuable time on highly manual work.

That’s why we are introducing InvoiceAI to our enterprise legal management – to free in-house lawyers from the manual labor of tedious legal invoice review.

Onit announced this next significant phase of innovation at Legalweek(year) with our first InvoiceAI video. Launching in May for both Onit and SimpleLegal, InvoiceAI harnesses AI’s power to increase the efficiency of the invoice review process. It handles the first-pass review of incoming bills and sets up a framework that will continuously learn as invoice corrections are refined in the system. The result: General counsel and in-house counsel can transfer rediscovered bandwidth and energy to higher-value work for their companies.

This second InvoiceAI video shares more about the InvoiceAI.

To learn more about InvoiceAI from Onit and how AI can streamline your legal invoice review, contact your Onit account manager today or email [email protected].

Legal Invoice AI Joins Our Contract AI

AI-enabled invoice review from InvoiceAI modernizes the legal operations function and automates the review of law firm billing for corporations. It perfectly illustrates our founding principle: To help lawyers more effectively practice law.

When InvoiceAI launches in May, it will join an impressive roster of AI solutions already on offer from Onit, including:

  • Precedent, Onit’s AI-powered business intelligence platform that automates and improves both legal and business processes for corporate legal departments, law firms, contract professionals and procurement teams.
  • ReviewAI, contract AI for pre-signature contract review that reviews, redlines and edits all types of contracts in minutes, increasing contract review speed by 60-70%.
  • ExtractAI, contract AI for post-signature contract management that extracts usable data from executed, legacy and third-party paper contracts.

You can schedule a demonstration of any of Onit’s AI solutions here.

A Legal AI Refresher

The field of AI is continually evolving, and it’s essential for today’s legal professionals to stay ahead of the curve. If you’re looking to bone up on AI, here are some great places to start:

Remember: AI won’t replace lawyers. But lawyers using AI will replace those that don’t.

Thanks for your time and stay tuned to our blog. We’ll have more InvoiceAI and contract AI announcements coming soon.

Six Features of the Best Matter Management Software

Matter management software puts critical matter, financial and performance data at the fingertips of corporate counsel and legal operations. But what features should a corporate legal department prioritize to gain the best return on investment? In the first blog post on this series, we explored essential legal spend management technology features for enterprise legal management. Now, we follow up with an exploration of the critical components of matter management.

According to Deloitte’s 2020 Legal Operations Survey, 74% of the corporate legal professionals surveyed felt they did not have clear or accurate metrics on work performed internally or externally. Additionally, 71% said that manual tasks take up a “significant amount” of their teams’ time.

Yet, technology – specifically matter management software – is designed to address challenges such as these.

Catherine Moynihan, associate vice president of legal management services with the Association of Corporate Counsel, told Legaltech News that GCs have seen growing interest from corporate leadership for technology investments. As she explains:

“While budget restraints have constrained the implementation of technology, I think we’re now approaching a tipping point where it’s budget challenges that will help make the case to make that short-term investment because the ROI is there.”

Fortunately, there are advanced enterprise legal management (ELM) solutions available, including matter management tools specifically designed to address issues such as the ones mentioned above.

What to Look For in Matter Management Software

From a high-level perspective, corporate legal departments need data that can show how their internal or external resources are leveraged. This is where matter management technology comes in. With this technology, corporate legal departments gain visibility into an overall matter portfolio and real-time data and dashboards to monitor and track all matters throughout their lifecycle. Legal team members should have immediate access to critical matter metrics, including performance data, through simple information collection, management and workflow.

Here are six features you should look for in a matter management solution:

  1. Custom Intake and Matter Forms

Most businesses require some custom forms for matter management, including custom intake and data forms for multiple matter types such as litigation, employment, intellectual property and claims.

  1. Flexible Workflow

Organization is mandatory, especially when dealing with matters that can substantially impact a business. Corporate legal professionals need configurable workflows relative to the matter type, dollar amount or specific business rules. No-code workflow and business process automation platforms powering ELM, matter management and legal spend management tools enable legal professionals of all technical proficiencies to create, automate and edit necessary workflows easily. To learn more about a platform approach, view this CLOC presentation by Colgate-Palmolive and Baker & McKenzie.

  1. Data Management and Robust Search

One of the necessary conveniences of matter management is that you can easily find the data you need at all times. A solution with full-text search capabilities for all information—including documents, transaction details, emails and notes – makes that happen. This benefit is further enhanced by searching capabilities that put critical matter information, including tasks, documents and notes, in front of you in a click.

  1. Outlook Integration

Those who proclaimed the death of email need to retract their statements. In 2020, more than 306 billion emails were sent and received. Email remains a critical component of communications and information exchange for businesses and many companies use Microsoft Outlook. If Outlook isn’t syncing with a matter management solution, a corporate legal team will ultimately face more manual processes and the potential for inaccurate or missing data.

  1. Email Notifications

To easily share information with corporate legal team members involved with matters, matter management technology should provide automated notifications that replace manual processes. This includes matter-unique emails within the system that keep team members up-to-date on matters.

  1. Reporting and Analytics

As mentioned above, metrics and analytics help legal professionals better understand their matters’ statuses, finances and performance. A matter management solution should have the ability to create dashboards to manage matters by type, location or geography as an essential part of reporting and analytics.

For more enterprise legal management and matter management inspiration, we invite you to check out the following resources:

  • Learn more about InvoiceAI, an AI-enabled legal invoice review offering for enterprise legal management.
  • Access this webinar replay for “Legal Operations Reporting Done Right,” where the global healthcare company Viatris (formerly Mylan) discusses its approach to identifying and collecting the right data and creating reports that are meaningful to different audiences across the organization.
  • Hear how McDonald’s formulated a cohesive, long-term strategy to achieve the right balance of people, process and technology here.

How Legal AI and Automation Work for Law Department Operations

Implementing legal AI and automation is not a one-size-fits-all proposition. With numerous forms of both technologies, it helps to examine specific use cases and the corresponding benefits that come to the table.

In the first part of this blog and podcast series, we outlined what AI is at its foundation. In part two, we tackled how artificial intelligence and law departments are already working together.

Now, we’re back for the third and final segment of his AI series, which covers the combination of legal AI and automation. With the many different types of legal automation and AI assistance available today, we have some crucial points to consider for automation and AI’s role in it.

Starting the Journey of Combining Artificial Intelligence and Law Departments

Start by asking yourself some basic questions about the drivers you’re trying to achieve through automation. Is your goal to increase productivity, efficiency and quality? Are you most concerned about risk mitigation and compliance? Or are you trying to be efficient about identifying trends and actionable insights with the data you currently have?

For example, if your goal is to enhance efficiency, contract AI software and automation can speed up contract approval by up to 70% and increase user productivity by 51.5%.

Your reason for automating your law department will have an impact on how you go about implementing it. Regardless of your goals, you always need to be considering how automation can help your legal department become more valuable to the rest of the organization.

The Different Types of Legal AI and Automation

Automation isn’t one-size-fits-all and there many varieties of it available now. Before you start implementing automation and legal AI, it’s helpful to understand the different automation types that exist today. The goals you have might impact the kind of automation you choose.

There are three significant types of automation, plus a fourth that ties them all together:

  1. Intelligent process automation (IPA) focuses on optimizing tasks that traditionally require some form of human interaction. It assumes that companies have already digitized business processes and created workflows. IPA uses software to perform processes and automate tasks while completing workflows and automating and integrating digital processes. It extends the scope of process automation that has capabilities for reading documents. Think OCR, machine learning and natural language processing. It also manages processes through event triggers and intelligent workflow and helps collate and process data across multiple systems. For example, in the legal domain, an IPA-based platform can read and analyze contracts to automate the identification, extraction and evaluation of contract terms, identify business-critical information such as contract entities and assess them against standard clause statements.
  2. Business process automation (BPA) is the technology-enabled automation of tasks that accomplishes a specific workflow or function. BPA has somewhat similar goals as IPA, but its primary goal is to automate a business process while improving and simplifying business flows. A critical difference between BPA and IPA is that IPA is more about optimizing existing digital workflows, while BPA is about digitization. An example of this in the legal world would be digitizing all incoming matter-related documents and forms, with BPA capturing and validating information in any format as soon as such information is available.
  3. Robotic process automation (RPA) uses intelligent automation technology to handle high-volume, repeatable tasks, enabling business users to devote more time to other, higher-value work. The distinguishing characteristic of RPA is its capacity for awareness and ability to adapt to changes in circumstances.
  4. Hyperautomation brings together several components of legal automation and AI and machine learning to amplify work automation. The goal of hyperautomation is to optimize and deliver work more effectively, more efficiently and at a lower risk to drive innovation. A crucial component of hyperautomation is the ability to include humans in the digitization process. Hyperautomation can provide insights into ROI and leverage AI to enable end-to-end intelligent automation. For example, consider a law firm utilizing two technologies – one that intelligently reads data and documents and the other being an RPA tool (robot). An incoming email from a client triggers the RPA robot to read the email and its attachment. It logs in to the client’s system as an accredited user and downloads the data to be processed by the reading tool. The tool reads all the document’s data (which a human usually had to do) and extracts the relevant information utilizing machine learning to pass back to the RPA robot to populate the case management system and the finance system. It then notifies the supervising partner of the critical case information. With hyperautomation, the time to open a file decreases from 90 minutes to 10 minutes. It meets the service-legal agreement for the first response and the file opening administration team – through AI-assisted automation – focuses on higher-value work for the more complex cases.

Once you understand the different types of legal AI and automation and what you’re trying to achieve through automation, you can start to develop and implement your ideal technology plan for your law department.

To hear more about legal AI and automation, the benefits of combining artificial intelligence and law departments and the essential elements to consider before deciding on technologies, you can listen to our entire podcast (see below.)

Onit Honored as One of the Top Workplaces in Houston; Hear Why on this Podcast.

With more than 14,000 employers, including 21 Fortune 500 companies, the competition to be named one of the top workplaces in Houston is stiff. That’s all the more reason why Onit is honored to be included as one of the Houston Chronicle’s Top Workplaces for the third year in a row, coming in at number 30 for 2020.

We also earned the program’s only Communications Award. The award, also based on employee feedback, is reserved for the organization continually going above and beyond to keep employees informed.

The Houston Chronicle’s Top Workplaces awards program recognizes the most sought-out businesses in the Houston region, based on the feedback of more than 37,000 employees gathered through a third-party survey. The award considers 15 factors critical to any company’s success, including culture, organizational health, engagement, satisfaction, leadership, cooperation, communication, work-life balance, training, pay and benefits.

The Inside Scoop on Onit

What exactly makes Onit one of the best places to work in Houston? In a recent podcast (see below), employees Angela Mulligan, director of organizational health, and Carlos De Leon, senior recruiter, joined Nash Gates to share why they think Onit won this award – and what it means to prospective employees, including:

  • Entrepreneurial culture – Onit encourages employees to have an entrepreneurial spirit while focusing on innovation and creative problem-solving. Have an issue you want to discuss? There’s an open-door policy from the top down.
  • Fast-paced growth – Onit completed three acquisitions in less than two years and recently expanded its offerings with an AI platform and contract AI software. Activities like this, coupled with our emphasis on its customers and innovation, earned us an impressive triple-digit percentage increase in 2020 revenue growth, number seven among the fastest-growing companies in Texas according to Inc. and number nine on the Houston Business Journal’s Fast 100 list.
  • Customers – Onit works with some of the largest companies in the world, with more than 45 Fortune 500 customers.
  • Dedication to employees – While other companies focused on workforce reductions during the onset of the pandemic, Onit grew its employee base by 22% in 2020. The company’s leadership also took measures to support their employees’ well-being during these challenging times, offering help with perks such as additional personal days.
  • Global reach: Onit has a presence on five continents, with representation in Houston, Austin, Mountain View (California), Pune (India), Auckland (New Zealand), London (UK) and Kyiv (Ukraine).

How to Apply for a Job at One of the Best Places to Work in Houston

Are you interested in working at Onit? We’re always happy to hear from qualified candidates.

We also believe in having open transparency with our potential hires from the start. We encourage you to check us out on Glassdoor and LinkedIn, so you understand our culture and our people before you apply. If you think Onit might be a good fit, you should visit Onit Careers to view current job openings and apply.

For more insight on Onit, you can listen to the entire podcast here:

 

Coming Soon: InvoiceAI: AI for Legal Invoice Review

Today, Onit kicked off its next phase of AI innovation at Legalweek(year) with the announcement of InvoiceAI, an AI-enabled legal invoice review offering for enterprise legal management. The offering, which will launch in May for both Onit and SimpleLegal, uses AI to create greater efficiencies in invoice review and allows general counsel and in-house counsel to focus on what they do best for their companies.

The invoice processing AI speaks to Onit’s founding principle: Help lawyers practice law more effectively. InvoiceAI eliminates tasks that aren’t related to practicing law – in this case, removing legal invoice review friction by relying on AI.

Onit leadership served as pioneers for legal e-billing, championing the Legal Electronic Data Exchange Standard (LEDES), the Uniform Task-Based Management System (UTBMS) and more. Now, that experience is taking legal invoice review to the next level with AI.

If you’re interested in learning more about Onit’s AI for legal invoice review, please speak with your account manager or email [email protected].

AI Innovation from Onit

When it launches in May, InvoiceAI will join three other AI offerings from Onit:

  • Precedent, Onit’s AI-powered business intelligence platform that automates and improves both legal and business processes for corporate legal departments, law firms, contract professionals, and procurement teams
  • ReviewAI, contract AI for pre-signature contract review that quickly and accurately reviews, redlines and edits all types of contracts in minutes.
  • ExtractAI, contract AI for post-signature contract management that extracts usable data from executed, legacy and third-party paper contracts.

You can schedule a demonstration of these three solutions by visiting this page.

Harness the Power of AI in Operations Management for Corporate Legal Departments

By now, businesses across all sectors recognize the benefits of legal AI in operations management – especially for processes such as contract management. Along with other technologies, AI is helping to reduce the financial pressure on operations teams and corporate legal departments who need to find ways to be more efficient. Particularly in the past year with the pandemic demands, there have been significant investments to decrease workloads for employees across businesses by streamlining things like workflow and approval processes. For example, this study found that contract AI in legal departments can increase efficiency by more than 50%.

In the first installment of our three-part blog and podcast series published earlier this month, we touched on AI’s ABCs. Now, we take a more in-depth look at some fantastic ways AI for operations is powering corporate legal departments. (You can find the podcast of this by scrolling down.)

Pushing Past the Buzz: Is It Really AI?

There’s no disputing that AI is a hot commodity now and a buzzword you hear often. AI in operations management and for legal teams is no exception. While you think your organization may be using it, you may be surprised. In reality, it can be challenging to identify, as AI in legal operations in day-to-day practice doesn’t always look like the images of AI we might have in our heads.

There are five ways to determine if you have an AI-driven system in place.

  1. Use of an interactive system – A fundamental cornerstone of AI is the ability to interact with your system more conversationally through the concept of a virtual agent.
  2. A wizard powered by learning to guide users – AI-enabled wizards lead users to the right workflows and tools, such as contract templates. This is based on learning from previous contract requests to offer more interactive guidance for your staff.
  3. Identification – Semantic analysis by AI can find patterns in related words relevant to an issue and then applies appropriate tags. This AI enabled semantic analysis is frequently used to identify issues in contracts, for example.
  4. Advanced analytics – AI builds off the identification process and allows you to utilize the identified terms very quickly by providing actionable recommendations for tasks.
  5. Robotic Process Automation (RPA) – RPA can be used for approval of changes, not only in workflow but to help your system streamline the approval process by learning from decisions made in prior cases. Essentially, you’re changing the workflow based on past learning and providing recommendations to approvers based on previous actions.

Corporate legal departments vary widely in their current technology levels, so you may not see all of these hallmarks in your organization. Nonetheless, if you can do any (or all) of the things listed above, you’re currently using AI. The next question is how to ensure you’re fully taking advantage of it.

The Benefits of AI in Legal Operations

AI has significant impacts on lawyer productivity. Onit recently conducted a study of legal AI contract review software to see how it affected in-house lawyers’ productivity. The results showed that new users were immediately 34% more efficient and 51.5% more productive. Team leaders could reallocate 15% of their time from contract work and team management to higher-value activities if they use AI in operations.

Consider those results in the context of a typical midsize company that has 28 lawyers and reviews 4,850 contracts annually. With 51.5% more productivity, that same team of 28 lawyers could process 2,498 additional contracts each year. That’s the equivalent of adding nine lawyers to the team. The additional capacity could also reduce costs and free up lawyers to perform higher-value functions to support the business.

The benefits of legal AI don’t stop with productivity. Legal departments must have access to data, and AI for operations allows departments to combine data from all corporate data sources. AI can also flag suspect transactions or questionable third-party relationships and quickly assess their risk level. Having a value chain of data with an intelligence layer around it is essential. Being able to connect that intelligence layer to your legal operations is crucial.

Listen to the Podcast Now: Contract AI in Legal Operations

For a more in-depth discussion of AI enabled contract management and its importance for legal operations, you can listen to the entire podcast interview below.

In our third and final installment of this blog series coming next week, we’ll dive into some of the most useful forms of AI being used in business today.

 

Onit Achieves Important Milestones in 2020 While Positioned for Growth in 2021

Despite COVID-related complications presented to businesses worldwide, Onit had a successful year. Milestones achieved this year included the launch of an artificial intelligence-powered business intelligence platform and AI contract review, two acquisitions in 30 days, increasing employee headcount by 22% and a market-leading NPS score.

According to Onit CEO and Co-Founder Eric M. Elfman, the credit for these accomplishments goes to the company’s ability to unite behind common goals.

“While Onit faced pandemic-related challenges similar to many other businesses, we succeeded by focusing on what matters most: our customers, innovation and employees,” said Eric M. Elfman, CEO and co-founder of Onit. “I credit the dedication and efforts of our employees for making us even stronger than ever before. We are well-positioned for continued growth in 2021, which has been our trajectory since the founding of the company.”

Acquisitions

In November, Onit acquired McCarthyFinch, reinforcing its innovation strategy by delivering powerful AI-based workflow and business process automation solutions – Precedent and ReviewAI. McCarthyFinch is now the Onit AI Center of Excellence, with a mission to further AI innovation for Onit and SimpleLegal products.

Onit’s second acquisition in 2020, AXDRAFT, expands its contract lifecycle management offerings with document automation technology. AXDRAFT, an independent subsidiary of Onit, offers technology that drafts contracts and other legal documents in less than five minutes.

Additional Milestones in 2020

In 2020, Onit also:

  • Processed more than $5.6 billion in law firm invoices in more than 140 countries
  • Established company operations on five continents
  • Added 93 new customers and more than 330 expansions for existing customers
  • Implemented 90 customers
  • Launched OnitCX, a program dedicated to customer success
  • Won more than 15 awards for fast growth and customer success, including being named on the Inc. 5000 for the fifth consecutive year and the Deloitte Fast 500 for the third straight year and winning the ACC Value Champion award.

In 2021, the company will continue to build on its success by capitalizing on the lessons learned during this pandemic and new technologies, including artificial intelligence and document automation to increase growth.

To learn more, read our 2020 milestone press release.

Join Onit at Legalweek(year) for a Discussion on Contract AI  

Onit is excited to continue its momentum in February with a presentation and virtual exhibition at Legalweek(year) 2021.

Experts from Onit and Adobe will present “The Potential Impact of AI on Managing Contracts” during the conference. The CLE-eligible session, scheduled for Tuesday, February 2, at 3:45 p.m. EST, features a discussion on how AI and automation can address contract management challenges. Speakers include:

  • Stasha Jain, Vice President of Legal and Compliance for Onit
  • Nick Whitehouse, General Manager of the Onit AI Center of Excellence
  • Jean Yang, Vice President of the Onit AI Center of Excellence
  • Letitia Hsu, CIPP/US, Associate Legal Counsel, Adobe Inc.

To register for Legalweek(year) and attend the session, visit here.

Onit will also host a series of demonstrations of its AI and automation technologies during Legalweek. From February 2-4, attendees can view demonstrations of the Onit’s Precedent AI platform, Enterprise Legal Management, Contract Lifecycle Management and Legal Service Request. Email [email protected] for more information on the schedule or to set up an appointment.

We look forward to seeing you at Legalweek(year)!

Four Legal AI Trends Impacting Corporate Legal Departments

Each day, the accomplishments of artificial intelligence multiply. AI recently solved Schrödinger’s equation in quantum chemistry. It regularly diagnoses medical conditions, pilots jets and fetches answers for our everyday queries. And now, it might dance better than you do.

The ever-improving abilities of AI are having marked positive impacts on a wide variety of industries and professions – especially corporate legal departments and the in-house counsel and legal operations professionals that run them. So, what can corporate legal departments expect from legal AI in 2021?

Ari Kaplan, attorney, legal industry analyst, author, technologist and host of the Reinventing Professionals podcast, recently interviewed Nick Whitehouse, General Manager of the Onit AI Center of Excellence. Nick, who is the 2019 IDC DX Leader of the Year and Talent’s 2018 Most Disruptive Leader Award (as judged by Sir Richard Branson and Steve Wozniak), shared the legal AI trends that general counsel and legal operations professionals should keep an eye on for 2021, including:

  • Accelerated adoption – The pandemic has greatly affected the use of AI, spurring businesses and their corporate legal departments to recategorize it from curiosity to necessity. For example, 2020 saw many companies having to quickly reassess large numbers of contracts (such as leases). Legal AI allowed in-house teams to quickly assess their contracts and take action, helping their businesses survive and thrive.
  • Banishing the black box – Legal departments have historically been perceived as black boxes – work goes in and decisions come out slowly with little transparency. AI reduces the time spent on individual transactions, increasing transparency by enabling consistent use of playbooks and the ability for the business to self-serve.
  • Focus on solving in-house challenges  – The technology has shifted from a project-based law firm focus toward products that are centered on solving in-house problems like contract lifecycle management and AI legal contract review. With 71% of lawyers saying they are mired in manual tasks, these AI products can drive a massive amount of value for corporate legal.
  • AI in the near future – In addition to the shift from law firm focused AI services to more in-house based services, corporate legal can expect a greater blending of AI into contract lifecycle management and third-party review as well as AI-assisted document automation and billing management.

Visit the Reinventing Professionals website to listen to the podcast. You can also find it (and subscribe) on Apple podcasts.