Author: Kemari Messineo

Modern Legal Ops Software vs. Legacy ELM: One Drives Legal Forward, the Other Holds You Back 

Modern Legal Ops Software vs. Legacy ELM: One Drives Legal Forward, the Other Holds You Back

Modern legal ops software isn’t just a nice-to-have. It’s the difference between keeping pace and falling behind. Legal teams today are buried under increasing demands to move faster, control spend, reduce risk, and deliver measurable value to the business. But too many are still stuck using outdated dinosaur systems that are molasses-slow and create more work than they solve.  

But the world has changed. And your software should too. 

The Evolution of Legal Ops Software 

Legal operations has matured into a critical function that supports everything from risk management to vendor oversight to spend optimization. What once required spreadsheets and emails is now managed through dedicated platforms. 

But not all platforms are created equal. Older tools often fall short in key areas: 

  • Limited connectivity across departments and enterprise systems 
  • Rigid workflows that cannot adapt to evolving legal processes 
  • Outdated interfaces that hinder adoption and user engagement 
  • Minimal automation and little embedded intelligence 
  • Siloed functionality due to years of bolt-on acquisitions 

For years, enterprise legal teams relied on traditional ELM tools. But those systems are showing their age, and Onit is changing the game.  

This shift has made the case for modern legal ops software stronger than ever. Additionally, as some mid-market platforms get absorbed into legacy stacks, their innovation slows, roadmaps stall, and legal teams are left waiting.  

If your software only documents legal work, it’s already behind. Forward-thinking teams demand more. They expect speed, clarity, and real impact. 

Whether you’re a three-person team or a global legal department, the right legal ops software grows with you and adapts to whatever comes next. 

Legacy ELM: Familiar Foundations, But Growing Friction 

We’ll be honest, legacy legal ops software had its moment. It brought order to chaos when spreadsheets ruled legal ops. But those wins? They’ve become friction. The platforms are rigid and outdated. And dressed-up design doesn’t fix what’s broken underneath. 

Most legacy legal ops tools were never designed for AI, automation, or real-time data. They create silos instead of streamlining collaboration. 

The interfaces are antiquated and clunky. Instead of helping teams move faster, these platforms slow everything down. 

And as demands on legal teams grow, that friction only increases. If your team is spending more time managing the system than getting work done, then it’s not a platform, it’s a problem.  

AI-powered solutions for legal ops exist for a reason. They’re built to replace all of this. 

How Legacy Systems Stall Legal Operations 

Legacy legal ops systems were built to bring order to legal work, but today they often create bottlenecks that slow progress. Whether it’s processing invoices, pulling reports, or updating workflows, tasks that should take minutes often take days (or weeks!). 

Here’s how legacy systems typically hold teams back: 

  • Data is fragmented. Teams must dig through disconnected systems to get a full picture of legal spend or matter status 
  • Workflows are rigid. Making process changes requires technical resources, vendor support, or both 
  • Reporting is slow and disconnected. Teams still export spreadsheets and cobble together outdated views instead of acting on live data. 
  • Collaboration is difficult. Finance, procurement, and legal often work in silos, leading to misalignment and duplicated effort 

An AI-powered legal ops solution eliminates these issues by unifying data, streamlining collaboration, and making critical processes faster and easier to manage. It removes friction from day-to-day operations so legal teams can focus on delivering business value, not managing tools. 

Modern Legal Ops Software: Built for Today’s Teams 

Modern legal ops software isn’t just easier to use. It’s built to help legal teams lead. No more clunky interfaces, no more waiting on IT, and no more systems that slow you down when everything around you is speeding up. 

The best platforms feel intuitive from day one. They don’t just digitize your workflow. They improve it. AI handles the busywork like invoice review and guideline compliance so your team can stay focused on higher-impact work. Updates are fast. Reporting is real time. The software fits how your team works, not the other way around. 

And when it’s time to scale, you won’t outgrow it. Whether you’re a three-person team or a global legal department, the right legal ops software grows with you and adapts to whatever comes next. 

This goes beyond better software. It’s a better way to run legal. 

Image representing a legal team considering modern legal ops software

What Legal Teams Need Today

Companies now hold legal teams to the same standards as departments like finance and sales, but legal often lacks the automation, analytics, and infrastructure to keep up.

AI-native legal software changes that. It transforms legal from a reactive cost center into a proactive business driver.  

Here’s what legal teams can (and should) expect when they make the switch: 

  • Answers in seconds, not hours. Built-in AI surfaces key insights instantly without digging through spreadsheets or waiting on IT 
  • Smart workflows that reduce manual effort. Configurable logic automates routing, triage, and task assignments
  • Invoice review that enforces your policies. AI catches billing violations before they hit your team, removing manual review queues and human error 
  • A platform that gets smarter over time. AI continuously analyzes how your team works and fine-tunes processes for greater speed and efficiency. 
  • Scales with intelligence, not added headcount. AI-native solutions grow with your team by automating what legacy tools outsource, without inflated service costs or slow timelines 

This is not traditional automation dressed up with buzzwords. Legal ops software designed from the ground up ultimately deliver speeds, accuracy, and strategic impact. And that’s what legal teams want and need.

Legacy ELM vs. Today’s Legal Ops Tech Choice 

Legacy ELM Smarter Legal Tech 
Outdated user interfaces that slow teams down Clean, intuitive design that legal teams actually use 
Long, complex implementation timelines Quick deployment with minimal lift from IT 
Disconnected tools that don’t speak to each other A simplified experience for managing spend, matters, contracts, and vendors 
Basic automation that still requires manual cleanup AI-powered automation that handles the heavy lifting 
Configuration changes that depend on IT or consultants Easily configurable workflows with no code required 
Unclear or stagnant product roadmaps Transparent, customer-informed product development 

Making the Case for Change 

Switching from a legacy tool to modern legal ops software is a strategic decision. Many teams hesitate due to long-standing contracts or internal dependencies. But increasingly, the costs of standing still — inefficiency, missed insights, and user frustration — outweigh the challenges of change. The longer teams delay, the more money slips through the cracks. 

Legal teams are choosing to move forward for a reason. They want to operate as strategic partners to the business. They need data to drive faster, smarter decisions. They’re done with bottlenecks and overhead. And they want tools that actually scale with them, not against them. 

Next-generation legal operations tools are not just replacements. They’re accelerators. 

A laptop with a sprout, representing growth and change for legal teams

Implementing Scalable Legal Tech Solutions Without the Headaches 

Modern legal ops software is designed for quick, low-stress implementation. Cloud-based delivery removes installation barriers, and configuration happens through intuitive tools rather than complex code. 

Legal teams can customize workflows to match their processes without relying on IT. Onboarding is guided and streamlined, helping teams see value faster. 

With clean interfaces and simplified workflows, adoption feels natural. The transition is not disruptive. It’s a faster path to better operations. 

The Bottom Line on Legal Ops Software

It’s true: Legacy systems helped legal departments digitize. But modern legal ops software helps them optimize. 

This shift is not about chasing trends. But it is about enabling your team to do its best work with tools that meet you where you are and grow with you.  

If your platform is slowing you down, it’s time to consider one designed for the pace and precision your legal team needs.  

Book a demo to see how Onit empowers legal teams with AI-native software, so you can stop settling and start scaling on your terms. 

Want a quick gut check on where your legal ops stack stands? Download our Legal Ops Checklist to find out if your tech is keeping up or holding you back.

Agentic AI in Legal Operations: What It Is and Why It Matters 

Agentic AI in Legal Operations: What It Is and Why It Matters

The legal tech world has no shortage of buzzwords, but every once in a while, one sticks for good reason. Agentic AI is one of them. Agentic AI in legal operations is stepping into the spotlight as legal departments continue to look for ways to streamline operations, manage risk, and do more with less. Unlike traditional AI tools that wait for instructions, agentic AI can make decisions, take action, and complete complex legal workflows autonomously. 

Let’s break down what agentic AI is, how it works, and why it’s becoming an essential part of legal operations strategy

What Is Agentic AI? 

Agentic AI refers to a new class of AI tools designed to plan, execute, and adapt multi-step tasks on their own, with minimal human input. These “AI agents” don’t just answer prompts — they take goals and run with them. 

For example, instead of asking an AI to redline a single clause, a legal operations team could give an agentic AI a broader task: review this contract, identify risky clauses, suggest edits, and generate a final version based on company policy. And it would do it — autonomously. 

The key difference between agentic AI and standard generative AI is agency: the ability to make decisions, use tools, and iterate toward a goal. 

Representation of Agentic AI for legal ops, with person holding cell phone and using AI

How Agentic AI Powers Legal Workflow Automation 

In legal operations, time is money — and repetitive tasks are the bottlenecks. Agentic AI in legal operations can help automate end-to-end legal processes such as: 

  • Reviewing and redlining contracts based on predefined rules 
  • Extracting data from legal documents and routing it to the right systems 
  • Managing intake and triage for legal service requests 
  • Drafting reports, summaries, and status updates across departments 

By enabling AI agents to interact with tools (like databases, document editors, and workflows), Agentic AI in legal operations creates a smarter, self-sufficient layer of automation that reduces manual effort while increasing speed and consistency. 

How Does Agentic AI Work: A Brief Explanation

At its core, Agentic AI blends a powerful language model with access to tools, data, and logic, giving it the ability to not just respond but act.  
 
Think of it this way: traditional AI tools wait for you to tell them what to do, step-by-step. Agentic AI starts with a goal and figures out how to get there. It doesn’t just generate an answer, it drafts the document, finds the data, reviews the terms, and refines the output until the task is done.  
 
These tools are often built by connecting a language model with software tools, business rules, and datasets the designated agent can access and use. Depending on the complexity of the workflow, this setup can be customized to suit specific tasks — whether that’s redlining contracts, generating reports, or routing approvals.  

Benefits of Legal AI Automation for In-House Teams and Law Firms 

Some teams opt for pre-configured setups with broader capabilities, while others tailor their systems for more focused use cases.  

The choice comes down to speed vs. precision — some teams need flexibility, while others prioritize control and simplicity. 

Benefits of Agentic AI in legal ops

The result? Faster legal service delivery, better alignment with business goals, and a more modern, resilient legal ops function. That’s exactly the kind of impact Agentic AI in legal operations is designed to deliver. 

What to Know Before Implementing Agentic AI in Legal Operations 

Of course, agentic AI isn’t magic. There are tradeoffs: 

  • Cost and complexity: Building agentic systems — especially at enterprise scale — can require time, money, and technical expertise. 
  • Testing and trust: Because agentic systems can produce a range of outputs, validating their performance and accuracy takes careful design. 
  • Overengineering risk: Sometimes a simple rule-based automation is enough. Not every task requires a multi-agent system. 

The key is finding use cases where autonomy pays off and implementing right-sized solutions. 

Why Agentic AI Is the Future of Legal Tech 

The shift toward agentic AI reflects a broader movement in legal operations: from reactive support to proactive enablement. Legal teams are no longer just processing work — they’re driving innovation, shaping policy, and delivering business value. 

The future is PEOPLE PLUS AI. We're going to be completing tasks 25% faster and to a higher quality. - Jean Yang, VP of AI Transformation

Agentic AI isn’t just another tool in the tech stack. It’s a teammate.  

And in some cases, it’s doing the work 70x to 270x faster. In our recent Better Call GPT research from the Onit AI Center of Excellence, we found that AI-powered contract review using Large Language Models (LLMs) can dramatically outperform human reviewers. This isn’t just about speed — it’s about freeing legal teams to shift their focus from manual review to high-impact strategic work. When AI agents handle the grunt work, legal becomes a driver of business velocity.

How Onit Is Supporting Legal AI Automation 

At Onit, we’re focused on helping legal teams evolve through automation, innovation, and intelligence. Whether you’re exploring your first AI use case or scaling your legal ops ecosystem, our platform is built to support modern workflows — including emerging agentic AI capabilities. 

Want to see how legal AI automation can transform your team’s impact?

Explore our solutions to discover how Onit is helping legal departments streamline workflows, accelerate service delivery, and embrace the future of legal tech with confidence.

Ready to Take the Next Step?

If your team is ready to move from experimentation to execution — and you want a smarter, faster way to operate — we’re here to help. Book a demo and see agentic AI in action.

Better Call GPT: Can AI Contract Review Outlaw the Traditional Legal Reviewer?

Better Call GPT: Can AI Contract Review Outlaw the Traditional Legal Reviewer?

Legal departments are under more pressure than ever to do more with less — more contracts, tighter budgets, shorter timelines. For years, contract review tasks were handed off to junior lawyers or sent to legal process outsourcing providers (LPOs). But today, AI contract review using Large Language Models (LLMs) is emerging as a game-changer.

At Onit’s AI Center of Excellence, we set out to answer a bold question: Can Large Language Models (LLMs) outperform human lawyers in reviewing legal contracts? The results aren’t just compelling — they signal a shift that’s already underway.

Here we outline major takeaways from the full research paper conducted by the AI Center of Excellence, available here.

AI Contract Review: LLMs vs. Lawyers – Who Wins?

What are LLMS?
An LLM, or Large Language Model, is an AI system trained on massive amounts of text data to understand, generate, and reason with human language.

To find out how LLMs stack up against Junior Lawyers and LPOs, we benchmarked performance on three fronts: accuracy, speed, and cost. We used real-world procurement contracts and measured every review against the gold standard — senior lawyers’ assessments.

AI Contract Review

Here’s what we found:

1. AI Isn’t Just Matching Humans — It’s Elevating Them

LLMs like GPT-4 are now performing contract reviews with a level of precision that rivals professional legal service providers — and in many cases, they’re outperforming junior lawyers.

They’re not just keeping up, they’re raising the bar. While seasoned professionals still have an edge in pinpointing where issues appear, AI is closing that gap fast and already exceeding the capabilities of many junior team members.

Takeaway: This isn’t about humans being replaced. It’s about giving legal teams the superpowers they need to move faster, think bigger, and focus on what matters most. When AI handles the tedious, humans can lead with insight, creativity, and strategy.

2. AI is 70x–270x Faster

Speed is where LLMs leave human reviewers in the dust. While a junior lawyer may take nearly an hour to review a contract, LLMs clock in at just a couple of minutes or less.

  • Junior Lawyers: ~56 mins

  • LPOs: 201 mins

  • GPT-4 1106: 4.7 mins

  • Claude 2.0: 1.63 mins

  • Palm2: under 1 minute

Even with setup and prompt engineering time factored in (averaging about 16 hours), LLMs still provide massive long-term efficiency gains.

Takeaway: LLMs aren’t here to compete with humans — they’re here to boost our capacity. By offloading repetitive work, they help legal teams move faster, take on more, and focus on the strategic work that really matters.

3. AI is 99.97% Cheaper

Cost savings were just as dramatic. A junior lawyer averages around $74 per contract, while top LLMs do the same job for $0.02–$0.25.

ReviewerAvg. Cost Per Contract
Junior Lawyer$74.26
LPO$36.85
GPT-4 1106$0.25
Claude 2.1$0.02
Palm2$0.03

Takeaway: LLMs don’t just save time. They shift how we invest in human talent. Instead of spending hours on repetitive reviews, junior lawyers can focus on higher-value work that demands judgment, creativity, and critical thinking. It’s not about hiring less. It’s about empowering your team to do more meaningful work.

What This Means for Legal Teams

If you’re managing a high-volume legal workload — procurement, compliance, risk — you already know the pain points: too many documents, too few hands. LLMs are ready to fill that gap. They’re fast, cost-effective, and increasingly accurate.

In fact, our research findings suggest LLMs are already strong enough to disrupt the traditional LPO model. And while junior lawyers won’t be replaced anytime soon, we see their roles evolving — moving from routine tasks to higher-value, strategic work.

The Future of Legal Work is AI-Native: Are You Ready?

This research confirms what forward-thinking legal leaders already sense: the future of contract review isn’t just powered by AI — it’s AI-native. Success will belong to those who rethink processes from the ground up with AI at the core, not as an add-on.

This isn’t about replacing humans. AI is redefining how legal work gets done. Whether you’re exploring LLMs to speed up contract review or scale your legal operations, the opportunity is clear.

Early adopters will unlock efficiency, reduce costs, and gain a competitive edge. Those who wait? Risk being left behind.


Just Getting Started? Download our Better Call GPT one pager for a quick snapshot of the research — perfect for sharing or bringing to your next team sync.

Ready to Go Deeper? Unlock the full research insights, benchmarks, and legal impact analysis in our comprehensive whitepaper — available for download.