Author: Onit

Why Legal Billing Guidelines Aren’t Enough for Matter-Level Invoice Review

Legal billing guidelines provide an essential baseline for invoice review, but they cannot account for every negotiated rate, fee arrangement or matter-specific exception. Accurate legal invoice review requires both the general guidelines and the engagement terms that apply to the individual matter. 

The distinction matters because billing guidelines establish the department’s policy, while engagement documents capture the commercial agreement for a specific piece of work. An invoice may comply with one and conflict with the other. Reviewers need both sources to determine what the organization actually agreed to pay. 

Without that complete context, reviewers can miss charges that violate the engagement or dispute charges that were expressly permitted. Either outcome weakens spend control and creates avoidable work for Legal Operations and outside counsel. 

What do legal billing guidelines cover and where do they fall short? 

Outside counsel guidelines establish the department-wide rules for legal billing. They define what is billable, how time should be recorded, which expenses are permitted, and what supporting documentation firms must provide. They give legal teams a repeatable standard and help firms understand expectations before invoices arrive. 

That baseline remains important. Onit’s guide to creating and enforcing legal billing guidelines explains how clear requirements improve consistency, transparency and collaboration with outside counsel. 

But a baseline is not the complete agreement for every matter. An engagement may include a negotiated rate, an approved timekeeper, a fixed fee or alternative fee arrangement, a matter budget, or a travel exception. Those terms can change how an invoice should be evaluated for that specific engagement. 

Consider a simple example. A matter-level engagement letter caps a partner’s hourly rate at $850, while the vendor’s general billing guidelines do not reflect that negotiated rate. If the firm submits time at $950 per hour, a review based only on the general guidelines may miss the variance. Spend Agent can apply the matter-level rate agreement, prioritize it over the general guidelines and identify the line item that exceeds the agreed rate. 

For invoice-review purposes, matter-specific terms should take precedence when the organization has documented and designated them to govern that engagement. Reviewing only the general guidelines leaves the process with incomplete context. 

What risks arise when invoice review lacks matter context? 

Missing engagement terms create risk in both directions. 

First, noncompliant charges may be approved. A rate can exceed the amount negotiated for the matter, an unapproved timekeeper can appear on the invoice or a charge can fall outside the agreed fee structure. If the review process sees only the general guidelines, those issues may appear compliant. 

Second, permitted charges may be disputed incorrectly. Pre-approved travel can be flagged under a general restriction, or a fixed-fee invoice can be evaluated as though it were billed hourly. Legal Operations then has to reverse the dispute, explain the mistake and restart the payment process. That creates rework, delays payment and can strain an otherwise productive outside counsel relationship. 

The challenge is not simply finding more potential violations. It distinguishes a true billing issue from an approved exception. A system that flags every deviation without understanding the engagement can create noise instead of control. 

Onit’s AI Center of Excellence tested large language models and experienced legal invoice reviewers against the same billing-review tasks. The top-performing model achieved 92% invoice-level accuracy and 81% line-item accuracy, compared with 72% and 43% for experienced lawyers. The models also completed reviews 50 to 80 times faster. Importantly, the research found that discretionary human judgment improved reviewer accuracy, reinforcing the value of combining automated analysis with human oversight. Read the Better Bill GPT research. 

These findings establish the potential of AI-assisted review, but accuracy still depends on context. A review process cannot consistently apply a negotiated exception if the agreement containing that exception is unavailable to it. 

The goal is not to challenge every possible charge. It is to make the right decision using the agreement that actually governs the work. 

How does engagement-aware invoice review work? 

Engagement-aware invoice review evaluates an invoice against the department’s general legal billing guidelines and the documented terms associated with the matter and vendor. This gives the review process the context needed to recognize negotiated rates, fee arrangements and approved exceptions while maintaining a consistent department-wide baseline. 

Legal teams can strengthen that process by: 

  • Identifying where matter-specific billing terms are currently stored 
  • Confirming which documents should govern the review when terms conflict 
  • Associating engagement documents with the correct matter and vendor 
  • Establishing a consistent method for recording approved exceptions 
  • Testing review outcomes against representative matters and invoice scenarios 
  • Determining where automated action is appropriate and where a person should make the final decision 

Relevant engagement documents can be added to the matter so Spend Agent can review invoices using both matter-level terms and general vendor billing guidelines. When those sources conflict, the designated matter-level terms receive priority. 

The documents must be uploaded and associated with the applicable matter and vendor. Relevant email correspondence is not automatically pulled from a mailbox; it must be captured in a supported document, such as a PDF, and added to the matter. 

This is an important governance control. The review is based on the terms the organization intentionally provides and associates with the engagement, rather than assumptions drawn from unstructured communications elsewhere. It also makes the source behind a decision easier for reviewers to inspect. 

When Spend Agent identifies a line-item violation, Auto Adjustments can calculate a recommended financial adjustment and present the original amount, the issue, the applicable billing guidance and the recommendation together. Organizations can manage this capability by vendor, reflecting the fact that review requirements and outside counsel relationships are not identical across the panel. 

This additional context does not remove human judgment. Legal teams can use Sentry mode when a reviewer should approve or reject a recommended action and Auto mode when automated handling fits the organization’s operating model. This allows teams to expand review capacity while preserving oversight where judgment, invoice value or vendor relationships require it. 

Key takeaways 

  • General legal billing guidelines establish the default billing standard. 
  • Matter-level engagement documents capture negotiated terms and exceptions that may change how an invoice should be reviewed. 
  • Using both sources helps prevent missed violations and incorrect disputes. 
  • Engagement context strengthens invoice review without eliminating human oversight. 

Legal invoice review works best when every decision reflects the complete agreement, not just the department-wide default. See how AI, business rules and human judgment can work together in engagement-aware invoice review. Watch The Right Invoice: Rethinking Legal Invoice Review to learn more.

Business Rules, AI, or Human Review? A Decision Framework for Legal Invoices 

Two professionals reviewing a document with pens, overlaid with a digital network graphic representing connected data and technology.

The best legal invoice review process does not force every decision through the same layer. Use deterministic e-billing rules for objective checks with no contextual exception, contextual AI when the answer depends on written billing or engagement terms and requires interpretation, and human judgment when a finding is material, ambiguous, or sensitive to an outside counsel relationship. 

That division of labor creates a more practical operating model. Each layer does the work it is best suited to perform, while the legal team remains responsible for governance and the final business decision with greater accuracy and less manual effort than before. 

This framework builds on the discussion in The Right Invoice: Rethinking Legal Invoice Review about assigning business rules, AI, and human judgment to the work each handles best. 

Type of decision Best review layer Examples 
Objective, with no contextual exception Deterministic rule Duplicate invoice number, budget threshold 
Depends on written engagement context / requires interpretation Contextual AI review Appropriate level resource, fee arrangements, daily hour threshold 
Material, ambiguous, or relationship-sensitive Human judgment Review/Act on findings, worked performed in alignment with goal 

1. Use deterministic rules for fixed, objective checks 

Conventional e-billing rules remain an important first layer of legal invoice review. They are well suited to binary checks that should produce the same answer every time and do not change based on the matter, vendor, or surrounding documents. 

A duplicate invoice number is the clearest example. If two invoices carry the same number, the system does not need to interpret a narrative, compare negotiated terms, or weigh an exception. A deterministic rule can identify the condition efficiently and consistently. 

The practical test is simple: Could valid context change the answer? If the answer is no, use a business rule. This keeps stable controls stable and avoids adding complexity where interpretation offers no benefit. 

2. Use contextual AI when written terms can change the answer 

Not every billing decision is binary. General outside counsel guidelines may prohibit a charge, while a matter engagement letter permits it. An approved rate agreement may supersede a standard rate. A negotiated fee arrangement or travel exception may apply only to one engagement. 

These decisions require the reviewer to read multiple sources, understand which terms apply, and resolve conflicts between general and matter-specific guidance. That is where contextual AI review can add value. It can evaluate invoice lines against the relevant written context and surface an explanation for review and is also best positioned to interpret a line item where the coding is not necessarily accurate. 

The source hierarchy matters. Matter-specific terms should take precedence when they conflict with general billing guidelines. Relevant engagement documents must also be captured in a supported file, uploaded to the matter, and associated with the applicable vendor. Contextual AI should not be described as automatically retrieving terms from a user’s mailbox. 

3. Keep people in control of material and sensitive decisions 

Finding a potential variance is not the same as deciding what to do about it. A legal team may need to consider the amount at issue, the clarity of the supporting language, the strategic importance of the matter, and the relationship with outside counsel. 

Human judgment belongs at this decision point. Reviewers can determine whether to accept a recommended adjustment, request more information, make an exception, or address a broader pattern with the firm. This is especially important for high-value invoices, ambiguous guidance, and sensitive vendor relationships. 

Governance should reflect those differences. For example, Spend Agent gives legal teams vendor-level choices for automated action, human confirmation, or no AI review. Those choices are not maturity rankings. They are controls that should align with risk tolerance, billing guidance, and the relationship involved. 

Build a layered legal invoice review model 

The goal is not to choose business rules, AI, or people as a single answer. It is to route each decision to the right review layer. 

Keep deterministic e-billing rules for objective controls. Use contextual AI to interpret applicable written guidance and engagement terms. Reserve human attention for the findings that require materiality, discretion, or relationship judgment. 

Spend Agent is designed to complement established e-billing controls and support this layered approach. Deterministic rules handle fixed controls, contextual AI evaluates complex line-item descriptions against applicable written terms, and people make the decisions that require discretion. Together, those layers give legal teams a more governed and practical approach to invoice review.

Your Best Outside Counsel RFP Data Is Already in Your Matter Management System 

Legal professionals reviewing documents together during a meeting, representing outside counsel evaluation and firm selection.

Before you send an outside counsel RFP, your own matter records can answer six questions a law firm proposal alone cannot reliably validate: which firms have handled comparable matters, what that work actually cost, who stayed within budget, how they staffed it, whether their invoices caused problems and where consistently captured, what outcomes they delivered. Most legal departments never ask. They open the RFP process with a blank questionnaire and let the firms define the terms of the conversation. 

That’s a lot of evidence to leave sitting in a system you already pay for. 

What data should you review before sending an outside counsel RFP? 

Which firms have handled similar matters. Marketing decks describe capability in broad strokes. Your matter records show which firms have run comparable work: same subject matter, same complexity, same jurisdictions. A practice group brochure and a track record are different things. 

What comparable matters cost. Historical spend gives you a baseline you can defend. Rather than asking firms what they’ll charge in the abstract, you can weigh their pricing against what this kind of work has actually cost you. Look at the median and the range, broken out by firm. Use that history as a directional benchmark, particularly when comparing similar work across firms. 

Who stayed within budget. Budget-to-actual variance is one of the most telling metrics in outside counsel management. Firms that land inside their own estimates are firms you can plan around. Firms that don’t become a source of quarterly surprises. Where your department tracks estimates and actuals consistently, use that record to inform the questions and evaluation criteria in the next RFP. 

How they staffed it. Partner-to-associate ratios, team size, and how leverage shifted over the life of the matter. Cross-reference that against outcomes and cycle time and patterns start to surface. Some work rewards a lean senior team. Some doesn’t. At a minimum, ask firms to provide a clear proposed team and staffing model; where historical staffing data is available, use it as additional context. 

Whose invoices caused problems. Rejected line items, out-of-guideline charges, block billing, timekeepers who never got approved. A firm’s invoice discipline  can be a useful signal of the administrative burden it may create during an engagement, and guideline compliance is rarely evenly distributed across a panel. 

What outcomes they produced. Wins, settlements, closings, approvals, tied to specific firms and named lead attorneys. This is the hardest of the six to capture consistently. It’s also the closest thing to a scorecard you’ll get. Where your department captures outcomes in structured fields, tie them to the responsible firm and lead attorneys. 

Answer those six before an RFP goes out and the process changes shape. You stop asking firms to describe themselves and start asking them to explain the distance between what they claim and what your records show. 

Why do legal departments skip their own RFP data? 

For many departments, it lives in three or four places. Matter details in one system, invoices in another, budgets in a spreadsheet on someone’s desktop, outcomes in an email thread. Pulling a coherent picture together for one firm takes hours. Doing it across a panel takes weeks, and the RFP deadline rarely waits. 

There’s a cultural reason too. Matter management has historically been treated as record-keeping. The idea that the same records should inform the next sourcing decision is fairly new, and it doesn’t have an obvious owner in most departments. 

How do you bring matter data into the RFP process? 

Standardize what you capture. Practice area, matter type, jurisdiction, staffing, budget, actual spend, cycle time, outcome. If those fields aren’t populated consistently, nothing downstream will fix it. 

Connect matter data to spend data. Firms should be measurable across the full engagement, not only on what they billed. This is the same connected-data problem that shows up in vendor management, with the same root cause. 

Let what you find set your evaluation criteria. If invoice discipline is a chronic problem across your panel, weigh it explicitly in scoring. If budget predictability is the sore spot, ask firms to defend their record on it. 

Feed the results back in. Capture the same fields on the new panel. Year three of a sourcing program should look nothing like year one. 

What changes in the RFP itself 

Better inputs are only half of it. The evaluation has to be structured well enough to use them: standardized questionnaires so pricing arrives in a format you can line up side by side, blind review so evaluators score independently, weighted dimensions that reflect what your history says matters, and conflict questions asked the same way every time. 

Structured bidding belongs in the conversation too. For defined, price-comparable work where several qualified firms are competing; a reverse auction lets them adjust pricing against anonymized rankings and produces a record of how pricing moved. It is not the right approach for every engagement; expertise, capacity, conflicts, urgency, and relationship fit should remain part of the evaluation.  That record is often more useful in the CFO conversation than the final number, because it shows the competitive pressure was real. 

Where this leaves you 

Relationships should stay in the decision. Lawyers know things about firms that no dataset captures. But relationships alone won’t hold up when finance asks why a particular firm won a seven-figure engagement, and they won’t tell you which firm in an otherwise fine-looking panel is drifting. 

Unity RFP is where that structure lives. It’s a module inside the Unity platform, working alongside matter management and e-billing rather than as a separate sourcing tool, with reusable questionnaire templates, side-by-side proposal comparison, weighted scoring with blind review, conflict-of-interest disclosures and documented responses, reverse auctions, standardized conflict-disclosure questions and documented responses, and a complete record of how the decision was made. For matter-specific RFPs, confirm the applicable rate-card, rate-transfer, and enforcement workflow before stating that negotiated rates automatically flow into Matter Management. 

See how Unity RFP structures outside counsel selection 

How Government Purchase Cards Are Simplifying Legal Technology Procurement

Close-up of a computer screen displaying a Purchase button with a cursor selecting it, representing digital procurement, online purchasing, and government technology acquisition.

Government agencies are under increasing pressure to modernize operations while working within tight budgets, limited staff, and evolving procurement requirements. One area seeing significant growth is the use of Government Purchase Cards (GPCs) and other micro-purchase programs, which allow agencies to procure low-dollar solutions quickly and efficiently. 

For legal departments, procurement teams, and administrative offices, this shift presents an opportunity to adopt technology that improves efficiency without requiring lengthy procurement cycles. 

Why Government Purchase Cards Matter 

The Government Purchase Card program has become the preferred purchasing method for many low-dollar acquisitions across federal agencies. Similar purchasing programs also exist at the state and local level, helping organizations reduce administrative burden while accelerating access to essential technology. 

For legal and procurement professionals, this means the focus is no longer just on finding the right solution. It’s also about finding solutions that are easy to purchase, deploy quickly, and deliver measurable value. 

Technology that aligns with these procurement models gives agencies the ability to improve operations while remaining compliant with purchasing regulations. 

The Challenges Facing Government Legal Teams 

Public sector legal departments manage a growing volume of contracts, investigations, litigation, public records requests, and regulatory matters. Many agencies continue to rely on disconnected spreadsheets, shared drives, email, or paper-based processes that create unnecessary risk. 

Common challenges include: 

  • Difficulty locating contracts and case files 
  • Missed renewal dates and compliance deadlines 
  • Limited visibility into workloads and case status 
  • Manual approval processes that slow operations 
  • Increasing expectations for transparency and accountability 

At the same time, staffing levels often remain flat while workloads continue to increase. 

Modern Legal Operations Start with Better Information Management 

Cloud-based legal technology helps agencies centralize information while automating many of the manual tasks that consume valuable staff time. 

For contract management, a centralized repository gives authorized users immediate access to current agreements while automated reminders help prevent missed renewals. AI-assisted metadata extraction and integrated eSignature capabilities further reduce administrative work and eliminate the need for multiple standalone tools. 

Case and matter management platforms provide similar benefits by organizing documents, emails, investigations, and legal matters within a single secure system. Workflow automation helps ensure deadlines are met, while dashboards provide leadership with real-time visibility into caseloads and operational performance. 

Together, these capabilities allow agencies to spend less time managing paperwork and more time serving their constituents. 

Procurement Shouldn’t Be the Barrier to Modernization 

One of the biggest obstacles to adopting new technology has traditionally been the procurement process itself. 

Subscription-based software fits well within many agency purchasing models by providing predictable costs, rapid deployment, and reduced infrastructure requirements. 

For agencies using purchase cards, this can significantly shorten the timeline between identifying a need and implementing a solution. 

Security and Compliance Remain Essential 

Government organizations cannot sacrifice security for speed. 

When evaluating legal technology, agencies should look for solutions that provide: 

  • Secure cloud hosting 
  • Role-based access controls 
  • Audit trails 
  • Encryption for data at rest and in transit 
  • U.S.-based hosting 
  • Compliance with standards such as SOC 2 and other applicable government security requirements 

These capabilities help agencies protect sensitive legal information while supporting transparency and regulatory compliance. 

Supporting Government Legal Teams with Purpose-Built Technology 

Onit offers solutions designed to help government legal teams modernize operations while simplifying procurement. 

ContractWorks provides cloud-based contract lifecycle management with unlimited users, AI-assisted contract organization, integrated eSignatures, automated reminders, and reporting that helps agencies improve contract visibility and reduce administrative effort. 

ReadySign delivers secure, cloud-based electronic signature capabilities that help government legal teams execute documents faster without heavy IT involvement. With unlimited users, reusable templates, automated reminders, and a complete audit trail for every signature, ReadySign streamlines approvals while maintaining the security and compliance agencies require. Its straightforward, subscription-based pricing and rapid setup—with no lengthy implementation—make it easy to purchase and deploy within purchase-card and micro-purchase programs. 

Together, these solutions provide a modern foundation for legal operations while supporting the procurement flexibility that today’s government buyers increasingly expect. 

Looking Ahead 

Government purchasing continues to evolve toward faster, more efficient acquisition methods. As agencies look to modernize legal operations, technology that combines secure cloud delivery, rapid implementation, and procurement-friendly purchasing options will become increasingly valuable. 

Organizations that align both their technology strategy and procurement approach will be better positioned to improve service delivery, increase operational transparency, and make the most of limited public resources. 

To learn how Onit’s government solutions can help your agency streamline legal operations and simplify procurement, contact our team or explore our public sector solutions

The Mandate Went Up. The Budget Didn’t. Now What?

Judge's gavel beside organized legal case files representing court case management, legal document organization, and judicial administration.

Ask almost any court administrator what’s changed in the last two years, and you’ll hear a version of the same thing: the expectations went up, the deadlines got tighter, and the resources didn’t follow. 

It’s a familiar bind for anyone in public-sector legal work. New rules demand faster, more consistent case handling. Legislatures agree modernization matters. Then the budget arrives, and the funding covers a fraction of what the work actually requires. The mandate is real. The money is not — at least not yet. 

Florida is a sharp, current example. The state’s trial courts asked for roughly $27 million to launch a case management technology overhaul; they received about a tenth of that. A parallel request for nearly 50 new case managers — the people who would monitor dockets and keep cases on schedule — went unfunded entirely. All of this lands at the exact moment Florida’s rewritten civil procedure rules require every case to be tracked, scheduled, and held to deadlines that “must be strictly enforced.” More accountability, tighter timelines, and roughly the same staff and systems to deliver it. 

Florida isn’t an outlier. It’s a preview. Courts and government legal offices across the country are being handed the same equation, and it doesn’t balance with headcount alone. 

So the practical question for court leaders isn’t whether to modernize — the rules have decided that. It’s how to get dramatically more visibility, consistency, and throughput out of the resources they already have. 

That’s where the right technology stops being a “someday” line item and becomes the thing holding the whole plan together. A modern case management platform absorbs work that would otherwise demand more people: 

It maps every case to the right track and flags deadlines before they slip, so rule compliance doesn’t hinge on manual calendaring across thousands of matters. It automates the routine routing, status updates, and standard documents that quietly consume staff time. It gives judges and administrators a live view of docket health — the same monitoring those unfunded case-manager roles were meant to provide. And it turns performance into data, so leadership can show what’s working and make the case for the next round of funding on evidence, not hope. 

None of this replaces the need for people or budget. But it changes what a court can do while it waits for both. The offices that treat this as a process-and-technology challenge — not only a funding problem — will keep cases moving on deadline while others fall further behind. 

That gap, between what’s required and what’s resourced, is exactly where the right system earns its keep. The hard part isn’t recognizing the need — it’s choosing a platform that actually fits how courts and government legal offices work, without a multi-year rollout you can’t fund. If that’s the decision in front of you, start here: how to select the right government legal case management system. It walks through what to prioritize when the pressure is high and the budget is tight — which, right now, is just about everywhere.

Beyond Legal AI Assistants: Why Governed Execution Matters

Business professional using a laptop displaying AI-powered legal analytics dashboards with charts, performance metrics, and workflow data visualizations.

Legal AI has largely been sold on productivity: faster research, drafting, and review. But as legal departments move from experimentation to deployment, speed is no longer the only consideration. 

The next question is whether AI can take action within legal workflows while preserving the approvals, controls, and records the department needs. 

Recent industry research backs this up. Deloitte’s 2026 report, The AI Imperative: Reshaping of the Legal Industry, found that 71% of surveyed legal departments had moved beyond experimentation into initial, scaling, or fully embedded AI deployment. That is a sharp shift up from a landscape where 76% reported no adoption just two years earlier. Among the 121 senior legal leaders surveyed, 79% said their legal department’s AI investment had increased year over year. For departments increasing investment, budgets rose by an average of 67%. 

But the same research points to a gap. Departments are buying AI tools faster than they are investing in the training, process redesign, and data foundations needed to use those tools well. Most of the money is going to technology, not to the people and systems around it. 

That gap defines the next stage of legal AI. Generating an answer is one thing. Taking action with the right permissions, approvals, escalation paths, and audit history is another. 

When AI Takes Action, Accountability Matters 

Agentic AI, meaning AI that does not just draft but takes multi-step action, is quickly becoming a live buyer conversation.  Deloitte found that 61% of surveyed legal departments are already experimenting with or piloting agentic AI. For legal teams, potential applications include intake triage, contract routing, and other repeatable workflows with defined decision points. (For a plain-English primer on what agentic AI actually is, see Agentic AI in Legal Operations: What It Is and Why It Matters.) 

But autonomy without accountability is a liability, not a feature. 

Every legal team evaluating agentic AI should be asking the same handful of questions. Who approved this action? What happens when the AI is uncertain? Is there a human in the loop before something is finalized? Is there a record afterward that would hold up under audit? 

These are not hypothetical concerns. They are the actual criteria shaping how legal departments evaluate AI vendors right now. 

Where work happens matters, but it is not the whole story 

Legal AI vendors have converged on making their tools available inside familiar surfaces, Microsoft Word chief among them. That is a legitimate and overdue improvement. Lawyers should not have to leave the tools they already use to get AI assistance. 

But where AI drafts a clause is a much smaller question than what happens to that clause afterward.  

  • Does it connect to a matter?  
  • Does it trigger a review workflow?  
  • Does it roll into spend, vendor, or obligation tracking anywhere else in the organization? 

A clause that lives only inside a word processor, however capable the assistant that wrote it, still leaves the rest of the legal operating model disconnected. 

The governed execution layer 

This is the frame legal teams should use to evaluate AI: not only which assistant is smartest, but which platform can be trusted to execute, govern, and record legal work end to end. In practice, that means: 

  • Permissions and approval gates before an action is finalized 
  • A durable, auditable record of what the AI did and why 
  • Connection across the legal function — matters, contracts, spend, vendors, and outside counsel — rather than an isolated point tool 
  • Measurable outcomes tied to the work itself, not just usage metrics 

None of this lives in the interface. It lives in the system of record underneath the work, the operational backbone a legal department already runs on. That is the layer where AI becomes durable rather than disposable, and it is the layer Onit has spent over a decade building. 

Legal departments do not need one more assistant. They need an execution layer they can govern. 

Preparing for Agentic AI in Legal Operations 

If your team is moving from experimenting with AI to trusting it with real work, the next question is what “agentic” actually means in a legal context, and where autonomy makes sense versus where a human still belongs in the loop. 

Start here: Agentic AI in Legal Operations: What It Is and Why It Matters breaks down how agentic AI works, where it delivers, and the tradeoffs worth weighing before you deploy it. 

You’re Negotiating Outside Counsel Savings. Can You Actually Prove Them?

Business professional presenting a legal spend analytics dashboard with charts showing invoice savings, legal spend reporting, and performance metrics on a tablet.

Legal operations teams spend countless hours reviewing invoices, enforcing billing guidelines and negotiating reductions with outside counsel. It’s an important part of managing legal spend, and one that can lead to significant cost savings over time. 

But there’s a question many organizations overlook: 

Can you actually prove the value of those savings? 

If negotiated write-downs are tracked in email threads, spreadsheets or informal conversations, they’re difficult to measure, report on and use to demonstrate the impact of legal operations. While the savings are real, the visibility often isn’t. 

For legal operations leaders, that’s a missed opportunity. It’s not enough to reduce spend. You also need to show how your team is delivering measurable business value. 

Negotiating Savings Is Only Half the Battle 

Most organizations have a process for reviewing outside counsel invoices. Legal teams flag billing issues, challenge questionable charges and negotiate adjustments before invoices are approved. 

The problem is what happens next. 

In many organizations, those negotiated reductions never make it into a centralized system. Instead, they’re documented in emails, noted in spreadsheets or simply remembered by the people involved. Over time, that creates gaps in reporting and makes it difficult to answer questions like: 

  • How much did we save through invoice review this quarter? 
  • Which firms consistently require adjustments? 
  • Are our billing guidelines improving compliance over time? 
  • Where are we seeing the greatest opportunities to reduce spend? 

Without reliable data, legal operations teams are left relying on anecdotes instead of measurable outcomes. 

Visibility Turns Savings Into Strategic Value 

Negotiating better invoices is valuable. Being able to demonstrate that value to finance and executive leadership is even more powerful. 

When savings are captured within your enterprise legal management platform, legal operations teams can: 

  • Report on realized savings with confidence. 
  • Identify trends across firms, matters and practice areas. 
  • Measure compliance with outside counsel billing guidelines. 
  • Support budgeting and forecasting conversations with accurate data. 
  • Demonstrate the ongoing impact of legal operations initiatives. 

Instead of simply saying, “We’re helping control outside counsel costs,” you can show exactly how much value your team has delivered and where that value came from. 

That evidence strengthens conversations with finance, informs outside counsel strategy and gives legal operations a clearer way to demonstrate its impact on the business. 

Build Savings Tracking Into Your Process 

Creating better visibility doesn’t necessarily require more work. It often requires a better process. 

Rather than managing invoice negotiations outside of your legal technology, consider bringing those activities into the same platform where invoices are reviewed and approved. 

Some best practices include: 

  • Capture negotiated invoice adjustments directly within your ELM platform. 
  • Standardize invoice review workflows across the legal team. 
  • Use billing guidelines and automated review rules to improve consistency. 
  • Monitor trends through dashboards and reporting rather than spreadsheets. 
  • Use historical data to benchmark outside counsel performance and inform future rate negotiations. 

The goal is not simply to centralize information. It is to connect invoice adjustments with firm, matter, budget and accrual data so the legal team can understand what is driving spend and where intervention is having the greatest impact. 

A Real-World Example 

The RealReal, the world’s largest online marketplace for authenticated luxury resale, faced this same challenge. 

Like many legal departments, the team was reviewing invoices and negotiating reductions with outside counsel. However, those write-downs were happening outside of their enterprise legal management platform, making it difficult to measure and report on the savings they were achieving. 

By centralizing invoice adjustments and taking fuller advantage of their ELM capabilities, the team gained greater visibility into noncompliant charges and the savings generated through invoice review. 

The team also began using data to compare requested attorney rates with similarly positioned firms and practitioners. Those insights supported outside counsel negotiations that resulted in rate reductions of 5% to 20% off standard rates for a number of firms. 

The result wasn’t just better invoice management. It was a more complete understanding of outside counsel spend and more meaningful insights to support future decision making. 

Want to see how they did it? Read the full The RealReal customer story to learn how the team improved visibility into legal spend and unlocked more value from its legal technology. 

Proving Value Is the Next Step in Legal Spend Management 

Reducing outside counsel spend is an important objective for every legal department. But today’s legal operations leaders are expected to do more than control costs. They’re expected to measure results, communicate impact and support smarter business decisions. 

The organizations that stand out aren’t just the ones negotiating better invoices. They’re the ones that can clearly demonstrate the value of every improvement they make. 

When savings become measurable, legal operations becomes more than an operational function. It becomes a strategic driver of business value. 

5 RFP Myths Costing Your Legal Team Time, Money, and Better Outside Counsel 

For many legal departments, outside counsel selection still starts with relationships, familiar firms, and past experience.  

Those factors matter. Legal work is high-stakes, and relationships can be valuable. But as legal departments face more pressure from finance, procurement, and executive leadership, the old approach is getting harder to defend on its own. 

Outside counsel is often one of the largest areas of legal spend, yet many teams still lack a consistent way to compare firms, evaluate value, and manage performance after selection. T 

That’s where a well-run RFP can help. 

RFPs are not about replacing legal judgment with a procurement checklist. They are about giving legal teams the structure and information they need to choose the right firms for the right work. 

Below, we break down five common RFP myths and what legal teams should do instead. 

Myth #1: Legal RFPs Are Just a Procurement Exercise 

One of the most common objections to RFPs is they exist solely to satisfy procurement requirements. 

In reality, well-designed legal RFPs are strategic decision-making tools. They help legal teams gather meaningful information about a firm’s expertise, staffing approach, technology investments, pricing model, and overall fit. 

The goal is not to replace legal judgment with a procurement process. It is to give legal teams the structure and insight they need to choose the right firm for the right work. 

What to do instead: Position RFPs as a collaborative evaluation process focused on finding the best partner, not simply fulfilling a procurement mandate.  

Myth #2: The Lowest Bidder Always Wins 

Many law firms assume RFPs are simply a race to the bottom on price. 

The reality is far more nuanced.  RFPs are as much about information as they are about the best price. 

Leading legal departments evaluate proposals across multiple dimensions, including: 

  • Matter strategy  
  • Relevant experience  
  • Staffing models  
  • Predictability  
  • Technology capabilities  
  • Overall value  

While cost matters, it is rarely the sole deciding factor. In fact, organizations often favor firms that demonstrate the strongest overall value proposition, even when they are not the lowest-cost option. 

What to do instead: Evaluate firms holistically. Focus on total value and expected outcomes rather than hourly rates alone.  

Myth #3: We Already Know the Best Firms 

Many legal departments rely on a small group of trusted firms they’ve worked with for years. 

The challenge is that legal markets evolve quickly. 

Firms develop new capabilities. Rising talent emerges. Technology investments change service delivery models. New competitors enter the market. 

Even when incumbent firms ultimately retain the work, a structured RFP process often uncovers valuable information about alternative providers and reveals opportunities to improve existing relationships. 

As Jason Winmill noted, the process frequently surfaces insights that legal teams simply wouldn’t have the opportunity to learn about otherwise. 

What to do instead: Treat RFPs as a market intelligence exercise, not just a vendor selection exercise.  

Myth #4: Formal RFPs Damage Law Firm Relationships 

Some legal leaders avoid RFPs because they worry trusted firms will view them negatively. 

In practice, the opposite is often true. 

When handled thoughtfully, RFPs create opportunities for deeper conversations around expectations, service models, innovation, and value. They establish transparency and encourage meaningful dialogue between legal departments and their outside counsel. 

The key is communication. 

Law firms generally understand that legal departments face increasing pressure to demonstrate value and manage costs. A well-run process reinforces accountability without undermining trust.  Additionally, modern firms are structured in a way that they now have full visibility into their data and operating models, and are positioned to partner with legal departments on something that is a win-win. 

What to do instead: Focus on transparency, professionalism, and clear communication throughout the process.  

Myth #5: Once the Panel Is Selected, the Work Is Done 

This may be the most expensive myth of all. 

Selecting outside counsel is only the beginning. 

The most successful legal departments continue managing relationships after selection by establishing: 

  • Clear scope definitions  
  • Staffing expectations  
  • Budget guidelines  
  • Communication protocols  
  • Performance metrics  
  • Regular review cadences  

Without ongoing governance, many of the benefits gained during the RFP process can quickly disappear. 

As the presenters noted, selecting a firm is simply the first leg of the marathon. Real value comes from how the relationship is managed over time.  

The Bottom Line 

Legal RFPs are no longer just procurement exercises. They have become strategic tools that help legal departments gain valuable insights from their law firm partners, improve decision-making, strengthen outside counsel relationships, and maximize value from legal spend. 

The organizations seeing the greatest success aren’t treating RFPs as one-time events. They’re using structured evaluation processes, data-driven insights, and ongoing governance to build stronger partnerships and better business outcomes. 

The question is no longer whether legal departments should use RFPs. It’s whether they’re using them strategically enough.  

Onit Named to the 2026 Global 100 Most Loved Workplaces®

Onit has been named to the 2026 Global 100 Most Loved Workplaces®, featured in The Economist

This recognition reflects the experiences that matter most in a workplace, including connection, growth, trust, and shared purpose. For Onit, it is also a reflection of the people who bring our mission to life every day. 

For more than 15 years, Onit has helped legal teams work smarter and operate with greater impact. As the legal industry continues to evolve, our people remain at the center of that progress. Across functions and regions, Onit employees support our customers, shape our products, and move the business forward with care, curiosity, and commitment. 

That kind of workplace does not happen by accident. It is built over time through how teams collaborate, solve problems, and bring new ideas forward. It also influences how we innovate, helping drive the continued evolution of our Unity platform and AI-native approach to legal technology. 

“This recognition reflects the people behind Onit,” said Nathan Peirson, Chief Operating Officer. “Across our teams, there is a shared commitment to meaningful work and to supporting one another as we help customers navigate a changing legal landscape. I am proud of the culture our employees have built together and grateful for the momentum they continue to create.” 

As Onit continues to advance Unity and our vision for AI-driven legal technology, this recognition reinforces a core belief. The future of legal is built by teams who are empowered to innovate, collaborate, and lead change. 

Learn more about the 2026 Global 100 Most Loved Workplaces here.

When the Hype Outruns the Infrastructure

The Legal AI category has spent the last several weeks in a narrative pile-up.

A pure-play AI Legal vendor closed funding at an $11 billion valuation. A direct competitor closed at $5.5 billion. Within days, an open-source alternative dropped on GitHub claiming feature parity with both. Every Legal tech newsletter, podcast, and analyst note has been dissecting what it means.

Most of the analysis has missed the point.

The story being told is about who wins the Legal AI race. Who has the best foundation model. The slickest interface. The fastest growth chart. The richest funding round. The most ambitious open-source rebuttal.

It is a compelling story. It is also the wrong race.

Front-end AI is the easy part

Building a chat interface on top of a foundation model has become a fast project. The recent open-source release proves it. A working alternative to two of the most-funded companies in the category, available as free code anyone can run.

That is not a knock on any of those companies. They have done real work. But the speed at which their core capability can be replicated tells you something important about where the defensible value in Legal AI actually lives.

It does not live in the interface.

It does not live in the foundation model.

It lives in the system of record underneath the work.

What that system of record actually is

Legal operations does not happen in a chat window. It happens across matter management, spend management, vendor relationships, compliance frameworks, document repositories, billing systems, and the integrations that connect all of them to the rest of an enterprise.

Onit has spent over a decade building that infrastructure. Today it serves more than 3,000 corporate Legal teams and connects more than 23,000+ law firms. It is the operational backbone that Legal departments at the world’s largest companies actually run on.

That is the layer where AI for Legal becomes durable. A chat interface can be replaced in a week. A system of record cannot be replaced in a year, and the data, workflows, and trust accumulated inside it cannot be replicated at any speed.

What we did in twelve hours

When the open-source Legal AI release dropped, our AI team was already deep into building Olava, Onit’s own small language model, and the broader AI capability layer of our platform. The release was not a surprise. It was a market signal that the front-end of Legal AI had reached commodity status, exactly as we had been building toward.

So we ran a test.

Within twelve hours of the release, our team integrated it with Olava and put it in front of our own Legal department to evaluate against the work already underway on our platform. Real lawyers. Real workflows. Real comparison.

Twelve hours.

What that test confirmed was what we already believed. The interface is replicable. The foundation models are commoditizing. The defensible value of Legal AI lives in what surrounds it. The data, the integrations, the security posture, the network of Legal teams and law firms doing the work.

The integration itself was not twelve hours of work. The years of platform investment that made twelve hours possible, secure deployment pipelines, model evaluation infrastructure, data architecture, integration scaffolding, was the harder thing. The twelve-hour test is a proof point about the platform, not just the team.

What we are committing to

Olava is real. It is in active development. It will be in production with our own Legal department in the coming weeks, and in customer pilots shortly after.

That is one piece of a broader commitment. Every new AI capability that emerges in this category, whether from a well-funded vendor, an open-source contributor, or anywhere else, can be evaluated, integrated, and deployed inside the platform our customers already trust, on the security posture they already know.

We are not going to chase the AI hype cycle. We are going to do the harder work of putting durable AI capability into the system of record where Legal actually happens.

Why this matters for the category

The companies winning the AI hype cycle today are racing on a dimension where speed compounds quickly and moats erode just as fast. Their models will be matched. Their interfaces will be cloned. Their funding rounds will not protect them from the underlying truth that everything they have built can be rebuilt in a fraction of the time it took to build it the first time.

The companies that will define what Legal AI actually becomes, five years from now, ten years from now, are the ones building at the infrastructure layer. The system of record. The system of process. The trust posture. The network of Legal teams and law firms doing the work.

Onit is one of those companies.

What comes next

The next 30 days will bring more. A behind-the-scenes look at our AI work, the workflows Olava is being designed to support inside our own Legal department, customers joining the early access program, a live broadcast with our AI team, and an honest accounting of what is working and what is not.

The bigger story will unfold over the next several quarters. The Legal AI race is not going to be won where the market is currently watching. It will be won underneath, in the infrastructure that makes Legal work actually run.

Onit is building there.