Does a lawyer CV need Legora or Harvey in 2026?

Does a lawyer CV need to name Legora or Harvey in 2026?

Only if you've genuinely used the platform on live matters, and it matters most when the job ad names it first. On 21 October 2026, Stockholm-based Legora announced a $550 million Series E at an $8.8 billion post-money valuation, a month after rival Harvey raised $550 million at $15.5 billion. Rounds that size fund enterprise sales teams, and enterprise sales teams push platform names deep into law firm workflows. Harvey has said 80% of Am Law 100 firms and more than 100,000 lawyers use its product, and Legora reported in-house legal teams making up over 40% of new customers in one quarter. Once adoption hits that density, recruiters stop treating tool names as trivia and start treating them as keywords.

The hiring signal behind this is already measurable. One widely circulated industry analysis of large-firm lateral moves found hiring of associates with AI experience up 106% year over year, with partners up 53% and counsel up 44%. Job postings tell the same story from the other side: legal support ads now list Harvey beside Westlaw and iManage as required software, and in-house listings ask for demonstrated experience using AI tools and automation. That's the plain commercial case for a named platform on your CV. If a recruiter or a keyword filter is scanning for "Harvey" or "Legora" and your CV only says "proficient with legal technology", you don't appear in the results at all.

Here's where most lawyers get it wrong. Naming a platform you touched twice during a two-week pilot is worse than naming nothing, because the follow-up question lands in the first five minutes of the interview: what did you use it for, and what did it get wrong that you caught? Partners who have run their own pilots can hear a thin answer instantly. My rule is simple. List the platform if you've worked with it on real matters over several months and can describe one specific output you corrected. Otherwise, follow the case for naming the capability rather than the vendor and write "AI-assisted document review" instead.

Where should legal AI skills go on a resume — tools line or matter bullets?

Both, and they do different jobs. The technology line carries the keyword so automated screening and a six-second recruiter scan can both find it. The matter bullets carry the proof that you exercised judgment over the output. Split them deliberately: a tools line that reads "Legal tech: Harvey, CoCounsel, Relativity, Lexis+ AI, iManage, Westlaw" handles retrieval, while a bullet reading "Ran first-pass review of 40,000 documents in an AI-assisted workflow, then hand-verified every privilege call before production" handles credibility. Lawyers who put everything in one place lose one half or the other — keyword-only CVs read as padding, and proof-only CVs never surface in the search.

Format the tools line for the parser, not for the eye. Keep it in the body text of a single-column layout, separate names with commas or middle dots, and skip the icons, skill bars and five-star ratings that design templates love — a parser reads those as nothing at all. Group by function rather than dumping twenty names in a row: AI drafting and review, e-discovery, research, document management. Spell each product the way the vendor does, because "Harvey AI" and "Harvey" are different strings to a literal keyword filter, and "CoCounsel" with a capital C survives better than "co-counsel", which means something else entirely in a legal CV. If you're rebuilding the document from scratch, a chat-based CV builder with ATS-friendly templates keeps that structure intact.

The matter bullets need a verb that signals supervision, not operation. "Used Harvey" tells a hiring partner you logged in. "Supervised AI-assisted review of a 12,000-document data room and escalated three mislabelled change-of-control clauses to the deal partner" tells them you understood where the tool was unreliable. Give the volume, the matter type and the catch. Two or three bullets of that quality across your last two roles beat a dedicated "AI experience" section every time, because they sit inside real work rather than floating beside it. Reserve a standalone section only if AI enablement genuinely was your role — training a practice group, drafting the firm's acceptable-use policy, running vendor diligence.

How do you describe AI-assisted review without overstating it?

Write the verification step into the bullet, every time. The ABA's 2024 formal ethics guidance on generative AI applied six existing duties — competence, confidentiality, communication, candor, supervision and fees — to lawyers using these tools, and it left responsibility for output squarely with the lawyer. A CV that claims AI did the work reads, to anyone who has read that guidance, as a candidate who missed the point. A CV that says you ran an AI-assisted first pass and then checked citations, dates and privilege calls yourself reads as someone a firm can put in front of a client. The verification clause isn't modesty. It's the competence claim.

Keep the numbers you can defend and drop the ones you can't. "Cut diligence time by 50%" is a great bullet if you can explain the baseline when a partner asks, and a trap if the figure came from a vendor case study you half-remember. Safer framings hold up under questioning: document volumes, matter counts, how many fee earners you trained, the number of contract types you built reusable prompts or playbooks for. If you genuinely measured a saving — hours per memo, days off a diligence timetable — name the comparison explicitly. Hiring partners in 2026 have sat through enough AI pitches to recognise an unsourced percentage on sight.

Confidentiality is the other place CVs quietly go wrong. Don't write anything that implies you put client material into a consumer chatbot, and don't identify matters or clients that aren't already public. Describe the sector and the shape of the work instead: "a cross-border carve-out for a listed industrials client" rather than the party names. If your firm ran everything through an enterprise platform with contractual protections, say so — "within the firm's approved enterprise AI environment" is five words that answer the objection before it's raised. The same discipline applies to any prompt library or workflow you built: describe what it did, not what it contained.

Which legal skills still carry the CV when AI drafts the first pass?

The skills that survive are the ones a tool can't take responsibility for: judgment on novel questions, client counselling, negotiation, oral advocacy, and supervising other people's work — including the machine's. Firms report that first-pass document review, contract analysis and routine research now move faster and cheaper than a junior can deliver, which has compressed entry-level class sizes and shifted demand toward experienced laterals. That reshapes what belongs at the top of your CV. The old proof of value — volume of documents processed, memos drafted — is now partly automated. The new proof is scope: decisions you owned, clients you advised directly, negotiations you led, juniors you trained.

For associates, that means rewriting bullets around ownership rather than throughput. Instead of "drafted 40 memoranda", go with "advised the client directly on regulatory exposure across four jurisdictions and ran the resulting filing timetable". Name the counterparties' firms where it's public, the deal or dispute value, the court or tribunal, and whether you were second-seat or first. Add anything that shows you can be trusted with the awkward parts of practice: a contested hearing, a conflicts call, a client who needed bad news delivered well. Those bullets are also the ones that read as unmistakably human — a useful side effect when every other applicant's CV was polished by the same assistant.

In-house counsel have a second keyword set worth owning, because AI governance has become a hiring category of its own. Postings for AI governance counsel routinely ask for working knowledge of the EU AI Act, the NIST AI Risk Management Framework, ISO/IEC 42001 and the OECD AI Principles, alongside GDPR, HIPAA and CCPA/CPRA, plus experience with AI assurance artefacts such as model cards and impact assessments. If you've built an AI inventory, run third-party AI risk diligence, negotiated vendor contracts with novel liability and indemnity terms, or drafted an acceptable-use framework, those are the phrases to use. They describe substantive legal work, and they happen to be exactly what the filter searches for.

How do you tailor a lawyer CV to a job ad that lists AI tools?

Work backwards from the ad itself. Copy the posting's text, pull out every named platform, framework and practice area, and check each one against your CV — if the ad says Harvey and your CV says "generative AI tools", you have a gap that costs you nothing but twenty minutes to close. This is the single highest-return thirty minutes in a legal job search, and almost nobody does it per application. Firms tailor their ads tightly: a funds associate role and a litigation role at the same firm will list different tools, different volumes and different seniority signals. One generic CV sent to both will underperform two targeted versions.

Run the file through automated screening before a human sees it. HRLens's free CV analysis scores your CV out of 100 with five category scores — experience, tech stack, impact and ownership, clarity and structure, and ATS compatibility — plus a visual layout analysis that shows what a parser actually extracts from your document. Paste the job description text alongside it and the analysis lists the skills the ad asks for that your CV doesn't mention, then generates ATS-friendly rewritten versions in six templates that mirror the ad's language. Paste the text rather than a link for LinkedIn and Indeed postings, since those sites block automated fetching. The full analysis, with the fix list and rejection-risk breakdown, is $3.99.

One honest caveat: no tool decides whether you get the role, and keyword alignment is table stakes rather than an advantage. What converts is the combination — your name on a real matter, a tool you can discuss credibly, and a verification habit you can describe in a sentence. Treat the platform names as the entry ticket to the pile a human reads, then make sure the bullets underneath them survive the interview. Legal AI valuations will keep climbing and the vendor list will keep changing; the lawyer who can explain where the output was wrong and why they caught it stays hireable through every one of those shifts.

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