Category: Artificial Intelligence

AI in Legal Operations: Why Some Teams Scale and Others Stall

Posted on October 3, 2025 by - Artificial Intelligence, Legal Operations

AI in legal operations: why some teams scale and others stall

Everyone has something to say about AI in legal operations. It’s a hot button issue. But talk is cheap. The departments that are moving ahead are the ones treating AI as more than a pilot. They are cleaning up data, replacing outdated systems, and preparing their people to work in new ways. That is what separates the talkers from the doers: legal teams that add measurable value instead of chasing hype.

Treat Data as a Strategic Asset

The teams making AI in legal operations work well begin with the one thing that powers it all: data.

They are cleaning up timekeeper rate inconsistencies, standardizing matter metadata, tracking vendor performance with accuracy, and enforcing billing guidelines that too often slip through the cracks. It’s not glamorous work, but it is essential. AI relies on information that is clean, structured, and accessible. Without it, models return unreliable results and adoption stalls.

The most effective teams don’t treat this as a one-time project. They embed governance into their operations, assign owners to critical data sets, and create rules that keep information accurate as new matters, vendors, and invoices enter the system. They also prioritize integrations that keep data flowing in real time, not stuck in silos or spreadsheets.

Instead of drowning in disconnected platforms, they consolidate. They invest in centralized environments where data can fuel multiple functions at once, from invoice review and accrual tracking to forecasting legal spend. This shift gives them visibility they never had before and sets the stage for legal ops teams to create real business impact.

Ai in legal operations: data means everything

Replace Tools that Lag

Legacy systems weren’t designed for intelligent automation or embedded AI. Some were built decades ago, long before today’s demands for flexibility and speed. High-performing departments know this, and they aren’t waiting for outdated platforms to bolt on partial fixes.

They’re replacing rigid, one-size-fits-all systems with enterprise legal management software that’s AI-native. These modern platforms allow legal operations teams to build, automate, and adapt workflows on their own terms. That means no waiting on IT tickets for every small adjustment. No rigid templates that block experimentation. Just intuitive tools that legal and operations can control directly.

Equally important, these systems are not isolated. They integrate with finance, procurement, and contract management systems so that data and automation can flow across the business. This connection ensures AI in legal operation is not a siloed effort, but part of a larger digital strategy.

When tools are flexible and connected, adoption is not only easier, it’s sustainable.

Redefine Efficiency

For leading legal teams, efficiency isn’t just cutting headcount. It’s removing the friction that slows everyone down.

They deploy AI for high-volume, repeatable tasks like invoice routing, matter intake, or compliance checks. This reduces the hours spent on administrative work and frees legal professionals to focus on strategic advice, risk management, and collaboration with the business.

But they also know speed alone is not enough. They measure results in terms of impact:

  • How much time is actually being saved?
  • How much rework is being avoided?
  • Where can legal add more value to the business now that routine tasks are automated?

For these departments, efficiency means precision and purpose, not just productivity. It’s a redefinition of legal’s role, moving from reactive support to proactive business partner.

Prepare People, Not Just Platforms

Technology on its own cannot drive AI in legal operations. People do.

That’s why the most successful departments invest in team readiness alongside system rollout. They don’t assume new tools will automatically be used correctly. Instead, they offer training sessions, set shared definitions for what AI will be used for, and make sure different functions — legal, finance, IT, procurement — are aligned from the start.

Many are creating new roles to guide adoption. Some are formal positions like legal tech program managers or AI operations leads. Others are informal champions within practice groups who normalize change, collect feedback, and help translate new use cases into day-to-day results.

They also establish clear accountability. Someone is responsible for tracking AI performance, handling exceptions, and feeding insights back into the system. That structure ensures adoption does not stall when workflows shift or regulations change.

When teams feel prepared, adoption does not feel like forced change management. It feels like progress.

ai in legal operations - people over platforms

Choose the Right Vendors

Not every platform is ready to support AI in legal operations. The strongest departments know this and ask sharper questions before they buy.

They want platforms their teams can configure without relying on expensive professional services. And they want AI features that are fully integrated, not patched on. They want models that are transparent enough to audit. And most importantly, they want partners who understand how legal teams actually operate.

The best teams go further. They evaluate what happens after the contract is signed:

  • Will the vendor evolve the system as priorities shift?
  • Are upgrades included or locked behind additional fees?
  • What kind of training, documentation, and human support are available?

Departments that succeed in AI adoption are not just out there buying shiny technology. They’re choosing long-term partners who can help them adapt as their strategy matures. That’s how they keep adoption scalable and defensible.

Focus on Problems, Not Pilots

High-performing departments don’t pursue AI for its novelty. They focus their efforts on recurring problems that slow down the business and apply AI to solve them.

Examples include:

  • Flagging noncompliant invoice line items automatically
  • Summarizing matter updates for business stakeholders
  • Predicting budget overages based on historical patterns

They test, measure results, and scale from there. This grounded approach is what makes AI adoption in legal ops stick. It’s always tied to real business needs, not abstract experiments.

Use Frameworks that Keep You Aligned

The most effective teams don’t improvise. Instead, they use frameworks like the AI Buyer’s Checklist to stay focused and ensure adoption does not lose direction.

They ask questions like:

  • Is our legal data clean, consistent, and centralized?
  • Can our workflows adjust as priorities change?
  • Are our teams aligned on how AI will be governed?
  • Can our platform support automation without adding complexity?

The goal isn’t perfection. It’s clarity. And clarity is what makes momentum sustainable.

choosing the right ai for your legal ops team

What Drives the Adoption of AI in Legal Operations?

Well, it certainly isn’t hype. It’s intent.

The departments that are getting AI right are aligning people, data, and systems to scale intelligently. They set expectations early, bring business stakeholders into the fold, and ensure AI is part of broader strategy, not just a side project for legal.

They aren’t just implementing a new feature, but rather, they’re building new ways of working.

So, the question is: are you a team of talkers or doers when it comes to AI adoption?

If you are ready to assess where your team stands, the AI Buyer’s Checklist is the best place to start. It will help you evaluate your data quality, workflow flexibility, stakeholder alignment, and vendor fit. Use it to spark internal discussions, compare options with confidence, and design a smarter plan for AI in legal operations.

Because lasting adoption isn’t about chasing all the trends. Instead, it should be about preparing for what comes next, on your terms.

Download the AI Buyer’s Checklist here.

The Future of Legal Operations: 5 AI Skills Every Leader Needs

Posted on September 18, 2025 by - Artificial Intelligence

Future of Legal Operations 5 AI Skills Leaders Need

The future of legal operations refers to the shift from traditional process and spend management toward a strategic, AI-first model where legal departments drive business value. This future is already unfolding. Artificial intelligence is no longer limited to pilots or side projects. It is embedded in workflows, analyzing contracts, managing spend, and even completing tasks independently.

For legal ops leaders, this means technical knowledge is not enough on its own. To succeed in the future of legal operations, leaders need a new skill set that blends AI fluency, adaptability, and strategic leadership.

The future of legal ops requires leaders to develop new skills beyond technical expertise. The most important include AI fluency, strategic decision-making, adaptability, collaboration, and leadership. The AI Buyer’s Guide helps legal ops teams assess readiness and build a roadmap for success.

Why does the future of legal operations require new skills?

The future of legal operations requires new skills because the role of legal departments is evolving. Tasks that once depended entirely on humans — like reviewing contracts or processing invoices — are now supported or completed by AI. As a result, leaders must focus less on manual execution and more on orchestration: deciding which tasks belong with humans, which belong with AI, and how the two can work together.

This shift means the most valuable legal operations skills are no longer limited to compliance oversight or matter management. Leaders must now prioritize continuous learning, collaboration across functions, and the ability to guide teams through technological change.

Future of Legal Operations - Image of AI and Humans together

What AI skills are essential for the future of legal operations?

The essential skills for the future of legal operations combine technical fluency with leadership and adaptability. The five most important AI skills for legal ops leaders are:

  1. AI fluency and prompting – understanding how AI systems work and how to interact with them effectively.
  2. Strategic decision-making with AI insights – interpreting Generative AI outputs within business context.
  3. Adaptability in hybrid human and AI teams – evolving roles and responsibilities as automation grows.
  4. Collaboration across AI-augmented workflows – aligning legal with other enterprise systems.
  5. Leadership for the AI era – coaching, hiring, and inspiring teams through change.

Each of these skills ensures that legal departments can use AI not just to reduce costs but to elevate their role as a trusted business partner.

1. AI fluency and prompting

AI fluency means knowing how to use AI responsibly, effectively, and efficiently. Prompting is a core part of this skill. The way a request is phrased can determine whether an AI tool produces a generic output or a tailored, actionable insight. Legal ops leaders need to model this fluency for their teams and provide frameworks that help staff improve. With the right AI prompting skills, legal departments can move beyond surface-level outputs to gain meaningful guidance that supports strategy.

2. Strategic decision-making with AI insights

AI tools can process thousands of contracts, invoices, or data points in seconds. But they cannot replace human judgment. The future of legal operations depends on leaders who can take AI-driven insights and apply them in the right business context. For example, when AI highlights risk in a contract, a skilled leader knows how to weigh that risk against revenue timelines, supplier relationships, or market pressures. This balance of data-driven insights and human judgment is where legal ops adds its greatest value.

3. Adaptability in hybrid human and AI teams

As AI takes on more tasks, legal departments will increasingly become hybrid teams — with humans and AI agents working side by side. Adaptability is the skill that allows leaders to evolve roles, reallocate responsibilities, and help people focus on higher-value work. Legal ops leaders must prepare their teams for constant evolution, ensuring they are comfortable shifting into new responsibilities as AI expands. Adaptability is no longer a soft skill; it is a critical capability for operational success.

4. Collaboration across AI-augmented workflows

Collaboration has always been central to legal operations, but in the age of AI it extends beyond people. Legal must now coordinate with AI systems that integrate into finance, procurement, and compliance functions. Strong collaboration skills ensure that legal data and workflows align with enterprise systems rather than existing in silos. Leaders who foster cross-functional trust and transparency will position their departments as true business partners in the future of legal operations.

Future of Legal Operations - Collaboration with AI for better workflows

5. Leadership for the AI era

The most important skill for the future of legal operations is leadership itself. AI adoption requires guiding teams through uncertainty, setting a clear vision, and rethinking how to hire and coach talent. Instead of recruiting only for technical expertise, leaders must now prioritize curiosity, adaptability, and a growth mindset. Coaching teams means not just teaching them how to use tools, but helping them challenge assumptions, question outputs, and continuously learn. Leaders who embrace this approach will build legal departments that thrive in any environment.

How can legal ops leaders prepare today?

To prepare for the future of legal operations, leaders need both awareness of critical skills and the right frameworks to assess their technology and team readiness. This is where practical guidance makes the difference. Onit’s AI Buyer’s Guide offers a clear framework for evaluating whether your current solutions and processes are ready to support AI-driven legal operations. It helps you identify gaps, prioritize investment areas, and build a roadmap that positions your team to succeed in the years ahead.

Leading the future of legal operations

The future of legal operations will not be defined by technology alone. It will be shaped by the leaders who know how to combine AI tools with human skills. Legal ops leaders who build fluency in AI, make strategic decisions with confidence, adapt to hybrid teams, collaborate across the enterprise, and lead through change will set their departments apart. These are not skills for tomorrow. They are the capabilities legal teams must begin strengthening today.

The future of legal operations belongs to leaders who act now.

Download the AI Buyer’s Guide to start evaluating your current environment and take the first step toward building the skills and systems that matter most.

AI for Legal Teams Begins with the People, Not the Platform

Posted on September 10, 2025 by - Artificial Intelligence, Legal Operations

AI for Legal Teams Begins with the People, Not the Platform

You’ve seen the shift coming for a while… now it’s right at your desk. AI for legal teams isn’t a someday conversation anymore. It’s the reality smart legal ops leaders are stepping into right now. But if you’re still waiting for the perfect tech stack to drop from the sky, you’re looking in the wrong place. Probably somewhere between the fax machine and the fantasy budget.

But you know what? The most important thing to get right before anything else isn’t the tool. It’s the team.

AI for Legal Teams Begins with Who, Not Just What

The legal tech market is loud and noisy. Everyone’s promising smarter processes, faster turnaround, and less manual work. But here’s what often gets overlooked: no matter how advanced a tool is, it doesn’t know your business. Not like your team does.

Bringing AI into legal operations is less about shiny features and more about empowering the people who already understand where the work slows down. The ones reviewing line items, redlining NDAs, chasing outside counsel for timekeeper adjustments. They’re the ones who know what needs to change.

Legal ops leaders who succeed with AI aren’t scrambling for new hires. They’re rethinking how their current team is structured and supported. That starts with trust, context, and a framework that gives people permission to question the way things have always been done.

Clarifying Roles Creates Real Capacity

Most legal departments have talent that’s underleveraged, not underqualified. The challenge is clarity. When responsibilities are vague, opportunities for automation fall through the cracks. Time gets lost in follow-ups, escalations, and duplicated effort: the triple threat of legal inefficiency.

AI for legal teams becomes exponentially more effective when roles are aligned to the work that AI can actually support. Think about the person who’s always customizing approval workflows or manually reviewing every invoice line. They don’t need a replacement. They need to be freed up for higher-value analysis, exception handling, or cross-functional collaboration.

That’s not just good for efficiency. It’s good for morale. Empowered legal teams feel the shift when they stop fighting systems and start owning them.

Legals ops and ai for legal teams - smiling workers at their desks

Leadership Is the Difference Between Experiment and Execution

Implementing AI in legal operations isn’t just an IT decision. It’s an operational transformation, and legal ops leaders are uniquely positioned to drive it.

It starts with asking better questions. What’s repetitive and rules-based? What drains the team’s time without moving legal forward? What’s being done “because we’ve always done it that way”? If that phrase had a frequent flyer program, legal ops would have lifetime status.

The answers to those questions will uncover more than just inefficiencies. They reveal opportunities for AI that actually make a difference. The kind that increases transparency, reduces legal spend, and improves collaboration across departments.

That’s how you move beyond experimentation and into meaningful execution.

Great Legal Ops Teams Don’t Work in a Vacuum

AI for legal teams doesn’t exist in a legal-only bubble. The most effective teams are the ones building smart bridges across functions, especially with IT, compliance, procurement, and finance. And not just after the fact, but from the start.

If legal wants to own its AI roadmap, it needs allies who understand the business case and the operational needs behind it. That means getting IT out of reactive troubleshooting mode and into collaborative planning. It means helping finance see spend control not as a reporting exercise, but as a strategic lever.

The best legal ops teams don’t just ask for buy-in. They show their cards. They bring forward a plan backed by realistic implementation steps, accountability, and expected ROI. And they come to the table understanding the risks, concerns, and language of each partner.

The result is fewer roadblocks, smoother execution, and legal that’s no longer seen as “different,” but as an integrated part of the enterprise strategy.

Modern Legal operations playbook and ai for legal teams - worker pointing to their device.

What Forward-Thinking Legal Ops Teams Are Doing Now

If you’re not overhauling your department overnight, good. The smartest legal ops leaders know that progress doesn’t come from massive changes. It comes from small, strategic shifts made consistently and visibly.

Start by documenting where your team spends the most time, especially on tasks that feel manual, repetitive, or invisible to the business. Look for areas where you are double-handling data, reviewing things that should never have made it to your desk, or chasing down missing details from vendors.

Then talk to your internal partners. Find out what IT needs from you to support AI projects more smoothly. Ask finance what data would help them feel more confident in legal’s spend strategy. Look for the low-friction, high-impact changes that set the stage for bigger moves.

The best part? You don’t have to do it all on your own. With the right framework and the right partners, your team can move faster than you think. It all starts with clarity, intent, and the decision to lead.

Of Course Tools Matter, But Timing and Ownership Matter More

Yes, your team needs tools that are explainable, configurable, and purpose-built for legal work. That’s why we created a tech stack checklist to help legal ops leaders evaluate what fits.

Before you dive into demos or explore AI agents with IT, map the workflows your team owns, the bottlenecks that slow you down, and the outcomes that legal leadership actually cares about. Then match solutions to those realities.

A tool with the wrong team is just shelfware: expensive, impressive, and utterly unused. A focused team with the right structure can unlock results in weeks, not quarters.

Image of ai growth representing legal ops teams and scalability

The Playbook for Legal Ops Teams Who Want More Than Buzz

The AI Legal Ops Playbook was built for legal teams who want to lead with intention, not react to pressure. Inside, you’ll find:

  • A strategic framework for team design and role alignment
  • A buyer’s checklist for evaluating legal AI solutions
  • Tips for communicating ROI to the GC, CIO, or CFO
  • Real examples of how AI is helping teams reduce review cycles and tighten spend controls

It’s built for real teams doing real work, not hypothetical tech stacks that assume more resources than you actually have.

The Teams That Will Win Are the Ones That Move with Purpose

AI for legal teams is not a side project anymore. It’s the main event. The training wheels are off and the spotlight is on.

Legal’s no longer in the corner. You’re front and center on the transformation stage. Time to step into the ring and bring it.

AI is already reshaping how the best legal teams operate, and everyone else is just racing to catch up. But real change doesn’t start with tools. It starts with a team that’s aligned, confident, and ready to lead with clarity.

If you’re tired of AI content that talks around legal, this cuts through it. It’s made for you: the team doing the real work and ready to lead. We kept it tight, useful, and totally focused on legal ops. Think of it as your shortcut to strategy, minus the 50-slide internal pitch deck.

Download the AI Legal Ops Playbook

Or if you’re already mapping out your AI plan, let us show you what we can do – Book a demo.

Legal Spend Just Got Its Groove Back 

Posted on August 13, 2025 by - Artificial Intelligence, Enterprise Legal Management, Legal Operations

Legal Spend Groove Back Blog Image

There was a time when managing legal spend was supposed to transform the way legal teams worked. But what they actually got were clunky interfaces, disconnected tools, and manual workflows disguised as “digital solutions.” 

That ends now. 

Onit’s 2025 summer release marks a new era for legal operations, one where legal spend is easier to control and optimize.  

Introducing Unity, the AI-native framework built from the ground up to bring legal’s most critical workflows — spend, vendors, and data — within a more unified and intuitive experience. And yes, it actually does the work. 

This is what legal looks like, on your terms. 

Legal Ops Revolution - Legal Spend Just Got It Groove Back

What Makes Unity Different? 

With Unity, legal teams get a more connected interface. It’s designed to bring together work across legal spend, vendors, and data over time. And it offers AI agents that automate tasks and understand legal context, along with configurable workflows that scale. 

Say Hello to Unity e-Billing 

The first spend management pillar launched on Unity is our new ELM e-Billing experience. This was designed to help you manage outside counsel spend with precision, speed, and total control. 

ELM e-Billing centralizes all your spend management in one place. So this brings vendor data, invoice review, and budget tracking together for a clear, real-time view of legal spend. AI-powered automation speeds approvals and enforces billing guidelines. While flexible reporting and budgeting tools help you track performance, forecast accurately, and make smarter spend decisions as your team grows.  

Meet Spend Agent: Your First AI Assistant for Legal Spend 

Manual rule coding? Over. Vague invoice rejections? Gone. 

Spend Agent is your new AI-native reviewer for legal spend invoices. It interprets billing guidelines in plain language, flags issues on incoming invoices, and generates crystal-clear justifications. It even helps vendors understand and fix issues faster. 

Spend Agent offers instant compliance without the complexity; audit-ready transparency; smarter decision-making with less manual effort. 

Legal spend - Spend Agent by Onit

CounselMatch: Find the Right Firm, Fast 

When outside counsel selection feels like guesswork, CounselMatch steps in. With access to more than 400,000 attorneys and 5,800+ firms, it lets you filter by performance, billing model, diversity, and practice area, then integrates your choice. 

Faster selection. Smarter partnerships. Better results. 

And That’s Just the Beginning 

In addition to Unity, this release brings major upgrades across the broader Onit ecosystem: 

SimpleLegal now keeps internal and external budgets in sync with matter-specific rate settings that put you in the driver’s seat. And the redesigned budget view makes it faster to filter, sort, and take action because budgeting should move as fast as the rest of the team.  

Legal Ops and Spend Management

ContractWorks now offers folder-level auto-tagging (Beta) for instant metadata capture, Retry AI Processing to refresh legacy contracts, and self-service tag activation for faster implementation and value. Contracts API adds e-signature support, enabling packets to be sent from external systems with fewer steps for quicker execution and a smoother path from draft to done.  

BusyLamp now allows users to track invoice revisions; automate WIP archiving; simplify dropdowns; tighten access controls to protect sensitive data. 

Built for Scale and Designed for Legal, by Legal 

Unity is more than a product. It’s a signal that legal tech software is finally evolving and that it’s evolving on legal’s terms. 

With Unity, legal departments gain more control over legal spend across your department; improved workflows across every part of the legal lifecycle; real-time visibility into vendors, matters, and contracts; automation that speaks legal’s language; a connected experience that replaces siloed systems. 

legal spend with onit elm ebilling spend agent and counselmath

Why Legacy ELM Fell Short 

For years, enterprise legal management software made promises it couldn’t keep. Legacy systems were built for a different era, before AI, before flexible workflows, and certainly before legal ops became the strategic driver it is today. They were hard to configure, harder to adopt, and forced legal teams to work around technology instead of with it. 

The result? Fragmented systems, manual workarounds, and limited visibility. Innovation stalled because the software didn’t move at the speed of legal. 

Unity changes that.  

Moving Legal Workflows Toward Connection and Scale  

Many legal ops teams struggle with time-consuming invoice reviews, vendor management spread across spreadsheets, and point solutions that do not connect. Unity is being built to address these challenges by bringing core legal workflows closer together in an AI-native environment that can scale over time.  

With Spend Agent reviewing invoices in real time as an add-on to Unity e-Billing and OnitX ELM, and contract data extracted in seconds via ContractWorks, legal teams are gaining back time and putting it toward higher-impact work. They’re spending less time fixing broken workflows and more time driving strategy. 

Who Unity e-Billing is Built For 

Unity e-Billing is designed for legal teams that want a lightweight, simple, and fast legal spend management solution. It’s built for in-house teams looking to enforce billing guidelines, accelerate approval workflows through automation, and gain clear insights into vendors and legal spend.  

Whether you’re a GC looking for visibility across departments, a legal ops lead managing complex budgets, or a contract manager streamlining workflows, Unity e-Billing was built with you in mind. 

Legal Ops on your terms. Spend management. Onit ELM ebilling. CounselMatch. SimpleLegal.

Why Onit Built Unity 

At Onit, we’ve always believed legal should lead, not follow. That’s why we built Unity from the ground up: to deliver a truly AI-native solution that’s powerful enough for enterprise scale but flexible enough to meet teams where they are. 

Unity combines intelligent automation, hands-on support, and a modular structure that adapts to each customer’s needs. It’s more than software. It’s a commitment to helping legal teams modernize on their terms with trusted intelligence, connected tools, and expert guidance at every step.  

Ready to See Unity in Action? 

Whether you’re rethinking spend management, centralizing vendors, or ready to use an AI spend agent, Unity gives you the tools to move faster, smarter, and with more confidence than ever before. 

Ready to see it in action? We’ll show you. 

Book a demo to explore how Unity can work… on your terms. 

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

Posted on July 11, 2025 by - Artificial Intelligence, Legal Operations

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.

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

Posted on June 12, 2025 by - Artificial Intelligence, Contract Lifecycle Management

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.

Is Your Contract Management Stuck in the Past? How Generative AI is Transforming Operations

Posted on February 20, 2025 by - Artificial Intelligence

Harness the Power of AI for Smarter Contract Extraction

Manual contract tagging is time-consuming, error-prone, and inefficient.  AI Contract Extract for ContractWorks automates this process using generative AI to identify and tag critical data elements and clauses. This functionality ensures greater accuracy, and improved compliance—helping legal and procurement teams focus on strategic tasks.

From tagging payment terms to tracking force majeure provisions, traditional contract management methods often introduce inconsistencies and blind spots—leading to missed renewal deadlines, costly compliance violations, or even disputes over unclear obligations. A single overlooked clause can mean significant financial and legal consequences, making accuracy and efficiency in contract tagging more crucial than ever. AI Contract Extract eliminates these inefficiencies, offering an intelligent auto-tagging solution that brings contract management into the future.

Why Contract Management Needs Innovation

Organizations today face growing pressure to optimize workflows while avoiding costly errors. Conventional methods for reviewing and tagging large volumes of contracts are not only labor-intensive but also prone to oversight. As businesses expand, the risk of missing critical obligations or mismanaging renewals increases exponentially.

AI Contract Extract addresses these pain points head-on by leveraging generative AI. It’s built to handle the heavy lifting of identifying and tagging key data—such as governing law or payment terms—so legal, procurement, and risk management teams can reclaim time and reduce compliance risks.

How AI Contract Extract Transforms Your Workflow

  • Automated Clause Tagging
    Automatically identifies and tags crucial contract elements—like confidentiality, force majeure, and governing law—drastically reducing manual inputs and potential errors.
  • Customizable AI Prompts
    Tailor the solution to your organization’s specific needs by defining unlimited custom prompts for AI-driven tagging, ensuring complete alignment with your business requirements.
  • Enhanced Searchability
    A centralized tag library, combined with precise auto-tagging, makes it easy to locate and organize key clauses across vast contract repositories.
  • Improved Compliance Tracking
    By consistently capturing obligations and risk clauses, AI Contract Extract mitigates compliance errors and promotes more reliable contract oversight.

Efficiency Meets Innovation

Beyond streamlining manual tasks, AI Contract Extract is designed to elevate your legal and procurement operations:

  • Speed and Accuracy: Eliminate time-consuming reviews and reduce errors.
  • Better Compliance: Gain a transparent view of critical obligations, reducing risk.
  • Greater Visibility: Centralize and structure data to make faster, more informed decisions.

The Future of Contract Management Starts Now

AI Contract Extract provides a sophisticated, automated approach to organizing and analyzing contract data, allowing teams to focus on strategic tasks rather than routine administrative work.

Ready to see AI Contract Extract in action?

Already a ContractWorks customer? Contact your CSM to learn more about how AI Contract Extract can transform your workflow.

New to ContractWorks? Book a demo today to discover how generative AI can revolutionize your processes—and learn about Onit’s full suite of AI-driven solutions designed to streamline every aspect of legal operations.

5 Legal Tech Tools Generative AI Can Enhance in 2025

Posted on December 9, 2024 by - Artificial Intelligence

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.

Schedule a Demo

How Generative AI is Transforming Enterprise Legal Operations

Posted on November 27, 2024 by - Artificial Intelligence

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.

Learn More

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

Posted on November 22, 2024 by - Artificial Intelligence

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.

Learn More