A mid-year review article from our Founder & CEO Jared Coseglia:
At the start of 2026, I published ten predictions for the legal job market. Six months later, I want to do something I rarely do: stop and take stock of what has actually happened.
I have spent the better part of this year writing about AI's impact on the legal profession through the lens of talent.
AI has stopped being a conversation and started being a reckoning.
Here is what the first half of 2026 has made impossible to ignore.
In January, I predicted that AI-enabled legal professionals would command disproportionately higher compensation, both at the point of hire and through meaningful raises inside existing organizations. That prediction has accelerated.
TruLegal tracked the largest average increase in base compensation adjustments we have ever recorded for AI-enabled legal professionals: 14% for those actively leveraging AI technology daily. That is the market's clearest signal that AI fluency has crossed from differentiator to prerequisite.
PwC's 2025 Global AI Jobs Barometer confirmed the same pattern. Workers with AI-related skills now command a wage premium of approximately 56% compared to similarly situated professionals without those capabilities. LinkedIn Workforce Insights tracked a 142% acceleration in job postings requiring AI-related skills between 2025 and 2026.
The compensation conversation in legal has changed fundamentally. Salary bands built even twelve months ago are already behind the market. General counsels who have not revisited their compensation benchmarks before opening new full-time roles are going to have unreasonably long hiring processes that drive away the best talent. The first half of 2026 confirmed what the data was always pointing toward. AI fluency is a premium skill in legal, and the premium is getting bigger.
If the compensation story was the signal, the structural split in the talent market was the biggest outcome of the year – so far.
For most of the last decade, the legal staffing market operated on a fairly predictable spectrum: full-time hires on one end, contractors on the other, with a conversion pipeline connecting them. In 2024, nearly one in three contractors across TruLegal's placements converted into full-time employees. As of mid-2026, that number has dropped to under 3%.
Full-time hiring for AI-enabled legal roles is slower than it has ever been, five to ten times slower than contract hiring in some cases. Organizations know they need AI-capable talent, but many have never hired for it before, which means more interview rounds, more internal stakeholders, longer approval chains, and more shopping than buying. The search is deliberate because the stakes feel permanent.
Contract and fractional hiring are still the fastest modality for acquiring talent. Decisions happen in days, sometimes in hours. The skill set is known and the need is defined. Hiring managers with specific legal and regulatory challenges or a specialized integration project are not waiting for a twelve-week search. They are sourcing specialized talent on demand.
The result is two legal talent markets operating simultaneously with almost inverse rules. The full-time market rewards patience, precision, and AI fluency. The contract market rewards specialization, speed, and the kind of hard-won judgment that AI cannot replicate.
What collapsed the conversion bridge between them was AI. Contract engagements that did not require AI enablement produced professionals who were successful in their assignments and then categorically ineligible for the full-time roles that would have once followed. Their work was valuable. Their AI readiness was not there. And organizations building for the future hired – or didn’t hire - accordingly.
Inside the contract market, another shift has been underway that deserves its own name. Legal operations programs have been moving away from the traditional model of hiring or developing one person to handle a wide range of responsibilities. Instead, they are engaging multiple specialized professionals simultaneously, each contributing targeted expertise for a defined period.
At TruLegal, 79% of net new contract hires for in-house legal operations professionals in 2026 have been fractional. Part-time hours, short-duration projects, specialized focus. Compare that to 2024, when more than 45% of net new contractors eventually converted into full-time employees.
The logic is that this caliber of talent, once only available through outside counsel or big-firm consulting, is now accessible on demand through ALSPs like TruLegal. A CLM expert for a twelve-week implementation. A privacy governance specialist for a specific regulatory response. An AI governance operator for a rollout that needs structure before it goes to production. All real-world examples of roles contracts filled and completed.
For legal operations leaders, this is the operating model of the near future.
If I had to name the single most important structural shift in in-house legal this year, it would be this: legal operations stopped being a support function and started being the control tower.
AI has given legal operations leaders the tools to govern spending, enforce outside counsel expectations, and drive measurable operational outcomes in ways that were genuinely not possible before. What was once a quarterly audit of a sample invoice set has become continuous, real-time governance. AI-enabled billing analysis can flag guideline violations as they occur, benchmark timekeeper rates across firms and matter types, identify scope creep before it becomes a surprise overage, and connect spend to outcomes with a level of precision that makes it very difficult for outside counsel to quietly expand margin while keeping hours flat.
That last part is the uncomfortable truth for many law firms. Legal operations is turning AI into a procurement-grade expectation for outside counsel. Transparency about AI use is rapidly moving from a nice-to-have to a contractual requirement. At TruLegal, we are seeing legal departments contractualize the conversation. The questions are direct. Where in the matter lifecycle is AI being used? Which tools and models? How are outputs validated? Whether AI use is billed and why?
This pressure is also reviving the conversation around alternative fee arrangements. As AI makes legal work materially more efficient, the traditional hourly billing model comes under greater scrutiny. If the assumption is that AI reduces the time it takes to do the work, the expectation from corporate clients is that outside counsel should not simply pocket that efficiency as margin while keeping the invoice size flat.
Five domains are defining the corporate AI-enabled legal ops professional right now: spend intelligence and vendor controls, CLM and workflow design, analytics and dashboarding, AI enablement and governance operations, and automation across routine work. The organizations hiring people who can operate across all five are the ones that will define what legal ops means in the next decade.
Across nearly every piece of work I have produced this year, one theme has surfaced consistently. The legal profession does not have enough people who can bridge legal expertise, operational process design, and AI governance strategy at the same time.
Most organizations have some combination of innovation leaders, privacy counsel, legal operations teams, procurement stakeholders, and compliance officers in the room for AI conversations. Very few have professionals specifically equipped to operationalize AI governance inside actual legal workflows. That gap is creating real organizational risk, but more importantly it is stunting adoption and velocity of AI in the business.
What legal departments are now confronting is what I have been calling shadow AI: unsanctioned or ungoverned AI usage occurring outside approved controls. Lawyers using AI to summarize contracts. Compliance teams synthesizing regulations. Procurement groups reviewing terms with public models, uploading confidential information without oversight. The adoption is moving faster than leadership can track, and static policies are proving inadequate to govern it.
The market's response has been to create a new category of hybrid professionals. Someone who understands how legal work moves through organizations and can design governance that does not cripple productivity. These professionals emerge from legal operations, privacy, eDiscovery, information governance, and compliance backgrounds. What makes them valuable is not pure AI literacy. It is their ability to operationalize defensibility while encouraging velocity.
Job titles vary widely across the market right now: head of AI governance, director of legal innovation, AI risk counsel, legal operations strategy lead, governance program manager. The titles will consolidate as the market matures. The underlying need they represent is not going away.
This shift affects every legal professional navigating the job market right now, regardless of whether they work in operations, litigation, privacy, or any other practice area.
For most of the last century, legal job interviews were structured around three core questions. Why are you interested in the role. Why are you qualified. Why are you the right fit for the organization. In the first half of 2026, a fourth question has become unavoidable in nearly every first round: how are you using AI in your current role?
In the back half of 2025, over 65% of candidates interviewing through TruLegal were asked some version of this question. That number has continued to climb.
The challenge is that for many candidates, the honest answer is that they have not been given access, or their organization has not rolled anything out, or they are not permitted to use it in their current environment. Thomson Reuters data showed that only 14% of legal professionals were actively using generative AI in their day-to-day work even as 77% expected it to have a transformational impact on their role within five years.
The gap between appetite and access is a recruiting and retention vulnerability that legal employers have not fully reckoned with yet. High-performing professionals are evaluating employers on AI investment just as aggressively as employers are evaluating candidates on AI fluency. If your organization publicly markets AI ambition but privately stalls progress, the best candidates will sense it quickly.
For candidates without direct AI experience, the reframe matters. What hiring managers are really screening for is not tool mastery. It is mindset: adaptability, willingness to experiment, comfort with change, and the ability to build organizational capability rather than simply execute tasks. Those qualities are demonstrable even without a stack of AI tool certifications. But as more talent adopt AI, the questions will be more nuanced and skillsets more scrutinized.
None of these talent and organizational shifts happen in isolation. They are driven by, and reflect, a deeper leadership transition playing out simultaneously at the Fortune 1000 level and inside Big Law.
CEO departures hit a record 234 globally in 2025, up 16% from 2024 and 21% above the eight-year average. Challenger, Gray and Christmas tracked more than 1,235 CEO departures in the first half of 2025 alone, the highest year-to-date total since the firm began tracking the metric. External hires nearly doubled as a share of appointments, reaching the highest level in eight years.
This is not a performance story. It is a capability gap. Boards are not replacing underperformers. They are replacing operators with transformation leaders. The executives cycling out built careers on operational excellence, margin management, and predictable growth. What boards now require is the ability to redefine strategy in real time, and increasingly that means navigating AI.
The framework that best explains what is happening across both corporate and legal leadership is what I think of as the Oregon Trail generation. These are professionals who grew up with one foot in an analog world and the other in a digital one. They know what genuine transformation demands because they have already lived through it. They are, in the truest sense, bridge-builders.
Inside Big Law, lateral partner hiring hit a five-year high in 2025. Merger activity surged. The CLO title has grown nearly 200% over the last six years, signaling that organizations are repositioning legal leadership as a strategic enterprise function, not a compliance backstop.
Pioneers, settlers, and stragglers. That is how the legal market has sorted itself in 2026. Pioneers moved early, absorbed the risk, and are operating on terrain that looks different from what everyone else sees. Settlers are methodical, well-resourced, building on what the frontier has proven out. Stragglers are still running playbooks from the last decade. The leadership transitions happening right now are the market sorting organizations into those three groups, and which group your organization falls into is determined more than anything else by who is leading it.
I want to say something here that I have not said publicly in quite this way.
The acceleration that AI has created inside organizations is extraordinary. The gains are real. But so is the cost. The taxation of constant reinvention falls most heavily on the people doing the actual work of transformation, and that deserves acknowledgment from any leader who takes the human side of this seriously.
Inside TruLegal, we are operating today with sixteen full-time employees on a scale that three years ago required thirty-three. Revenue is up 20%. The people who made that possible endured steep learning curves, repeated responsibility reconfiguring, tedious tool integrations, and long stretches where the technology was not ready but they were. They became AI-enabled professionals long before the broader talent market. They represent a new archetype of worker, combining human judgment with machine-augmented capability.
In 2026, I am intentionally slowing the rate of change inside TruLegal and investing the efficiency gains directly back into the people who created them. That means meaningfully increasing base compensation, not incrementally adjusting it. It means operating from a place of predictability after years of sustained disruption. And it means making clear that the future is not about choosing between people and tools. It is about making sure they advance together.
I believe the leaders who define what sustainable growth looks like in an AI-enabled economy will be the ones who hold both truths simultaneously. The technology is powerful, and the human capacity to absorb change is finite. Recognizing both, and leading accordingly, is what distinguishes the bridge-builders from everyone else.
-Jared
About TruLegal
TruLegal (formerly TRU Staffing Partners) is an award-winning global leader in delivering bespoke AI-enabled talent solutions for modern legal teams. With a network of relationships reaching over 100,000 legal professionals across 75+ countries, TruLegal has successfully placed thousands of attorneys, legal operations, litigation & eDiscovery, data privacy, cybersecurity and other legal professionals who focus on the intersection of technology and the law. For over fifteen years, TruLegal has provided flexible contract talent, direct hire contingency staffing, and executive level search services to the Fortune 1000, AmLaw 200, and the community of providers that support the legal industry.
Contact:
TruLegal
marketing@trulegal.ai