# Is Grok 4.6 good at legal work?[^about]

Grok 4.6 is one of the best models for legal work: third on a strict end-to-end legal-agent benchmark and fourth on legal research, but most benchmark assignments still contain at least one miss.

## Grok 4.6 is one of the best models for legal work, but not the best at every legal workflow {#grok-4-6-legal-verdict}

Grok 4.6 is one of the best available models for legal work. It ranks third on Vals AI's run of Harvey's Legal Agent Benchmark, completing 15.8% of held-out legal tasks under a strict all-pass standard, according to the [Vals AI results reviewed August 12, 2026](https://www.vals.ai/benchmarks/hlab). Grok 4.6 also ranks fourth in Vals AI's displayed ordering for Legal Research Bench, behind Claude Opus 5, Claude Fable 5, and GPT-5.6 Sol, according to the [Vals AI legal-research results reviewed August 12, 2026](https://www.vals.ai/benchmarks/legal_research).

Those results support a strong but qualified answer. Grok 4.6 is a credible first choice for agentic legal work. It does not lead either benchmark: Muse Spark 1.2 and [Muse Spark 1.1](/models/muse-spark-1-1) complete more Harvey tasks end to end, while Claude Opus 5 leads strict legal-research accuracy. Lawyers should treat Grok 4.6 as a frontier legal-work model, not as a reason to stop testing the workflow around it.

## Is Grokbot useful for lawyers? {#grokbot-for-lawyers}

Potentially, especially for legal work that crosses several tools. Grokbot runs on a persistent cloud computer and can use a browser, command line, files, and connected tools without requiring the lawyer's laptop to remain open, according to the [official Grokbot overview reviewed August 15, 2026](https://docs.x.ai/grok-bot/overview). A lawyer could use that environment to collect approved matter materials, build a source-linked chronology, compare document sets, or prepare review-ready drafts. After the lawyer corrects a result, Grokbot can save the method as a reusable skill or schedule it as a routine, according to xAI's [skills and routines documentation reviewed August 15, 2026](https://docs.x.ai/grok-bot/skills-routines-and-automations).

That product design makes workflow governance at least as important as model quality. xAI states that every bot on an account uses the same cloud computer: browser sessions, command-line credentials, connectors, and workspace files are shared across those bots, even though each bot receives its own screen. For legal teams, that means a client document or credential placed on the computer should be treated as available to every bot on that account. The safer starting point is read-and-prepare work with narrow access, separated accounts or environments where ethical walls require them, and explicit lawyer approval before filing, sending, signing, changing a system of record, or communicating externally. xAI likewise warns that approvals control proposed actions but do not reverse work already completed, according to its [security and approvals documentation reviewed August 15, 2026](https://docs.x.ai/grok-bot/approvals-security-and-privacy).

Grokbot therefore may be the more practical legal product question than Grok 4.6's benchmark rank alone. The model score says the system can do substantial work. The cloud-computer design determines what information it can reach, what actions it can take, and where legal supervision must interrupt the workflow.

## Grok 4.6 materially improves on Grok 4.5 at producing finished legal work {#grok-4-6-harvey-lab}

Vals AI gives each model a legal assignment, matter files, six file and shell tools, and skills for producing Word, PowerPoint, and Excel documents. A task passes only if every rubric criterion passes. That makes the benchmark closer to completing an assignment than answering a legal trivia question, according to the [Vals AI methodology reviewed August 12, 2026](https://www.vals.ai/benchmarks/hlab).

Grok 4.6 completes 15.8% of those tasks, compared with 12.9% for Grok 4.5, according to the [Vals AI results reviewed August 12, 2026](https://www.vals.ai/benchmarks/hlab). Grok 4.6 satisfies 92.52% of individual criteria, compared with 90.55% for Grok 4.5. The improvement matters because a small criterion-level gain can determine whether a nearly correct deliverable becomes a completed task.

The result also shows the remaining risk. Grok 4.6 misses at least one required criterion on more than four out of five benchmark tasks. A legal document can look polished and satisfy most requirements while still omitting the one point that matters. Grok 4.6's 92.52% criteria-pass rate is evidence of broad competence; its 15.8% task-pass rate is evidence that close review remains indispensable.

Grok 4.6 does not lead the end-to-end leaderboard. Muse Spark 1.2 ranks first at 25.42% task pass, and [Muse Spark 1.1](/models/muse-spark-1-1) ranks second at 20.00%, ahead of Grok 4.6 at 15.8%, according to the [Vals AI results reviewed August 12, 2026](https://www.vals.ai/benchmarks/hlab). The practical description is top-tier, not best overall.

The ranking also depends on the agent harness. It measures the model together with file tools, office-document skills, prompting, request construction, and LLM judges. In working with the open harness, we filed upstream repairs for cross-provider routing, unsupported request parameters, and verdict-generation order. That experience is why we treat the leaderboard as comparative evidence, not a property of the model alone.

## Grok 4.6 is a strong legal researcher, while Claude Opus 5 remains the model to beat {#grok-4-6-legal-research}

Vals AI's Legal Research Bench tests a different part of legal work. Each agent must find and synthesize statutes, cases, and other authorities across private questions spanning eight practice areas. The benchmark uses strict all-pass grading, so an answer receives credit only if it satisfies every required rubric item, according to the [Vals AI methodology reviewed August 12, 2026](https://www.vals.ai/benchmarks/legal_research).

Grok 4.6 ranks fourth in the benchmark's displayed ordering. Its strongest displayed practice-area results are 73% in health, 62% in administrative and regulatory law, and 55% in immigration, according to the [Vals AI results reviewed August 12, 2026](https://www.vals.ai/benchmarks/legal_research). Grok 4.6 does not lead any of the eight displayed practice areas. Claude Opus 5 leads the overall benchmark at 55.29% all-pass and leads four practice areas, according to the same results.

| Evidence | Grok 4.6 result | What the result suggests |
| --- | --- | --- |
| Vals AI Harvey LAB | 15.8% task pass; 92.52% criteria pass; third place | Grok 4.6 is among the strongest models for completing legal work product, but still usually misses at least one requirement. |
| Vals AI Legal Research Bench | Fourth in the displayed model ordering | Grok 4.6 is a top-tier legal researcher, but Claude Opus 5 remains the stronger research choice on the published evidence. |
| Grok 4.5 comparison | 12.9% Harvey task pass; 90.55% criteria pass | Grok 4.6's improvement over its predecessor is visible on both strict completion and individual requirements. |

These benchmarks measure different bottlenecks. Harvey LAB asks whether an agent can turn matter files and instructions into finished work product. Legal Research Bench asks whether an agent can find and reconcile legal authority. Grok 4.6 is strong at both, but a legal team should choose and test models around the work it actually performs.

## The next useful Grok 4.6 test is institutional-knowledge leakage {#grok-4-6-institutional-knowledge-leakage}

The most important unanswered question is not whether Grok 4.6 can retrieve legal information. It is whether Grok 4.6 can use a firm's internal knowledge without placing internal analysis into an agreement or other outward-facing work product. We call that failure institutional-knowledge leakage: accurate legal analysis appears in the wrong document and exposes drafting advice, negotiating posture, or internal risk analysis.

OpenAgreements has published a frozen, lawyer-adjudicated evaluation of that failure mode across three frontier models. We completed one no-reroll Grok 4.6 trajectory for each of the same ten frozen instances on August 12, 2026. We are not publishing a Grok leakage rate yet: the outputs still require the same judge-record and lawyer-adjudication process used for the existing comparison. Preserving that boundary matters more than rushing a favorable or unfavorable headline after seeing the artifacts.

For current legal inputs, start with OpenAgreements' most-used [practice guides](/practice-guides), then turn recurring work into a more reliable workflow with [legal checklists](/checklists). Better legal inputs cannot replace professional judgment, and a stronger model makes boundary controls more important because polished mistakes are easier to trust.

OpenAgreements is independent and is not affiliated with SpaceXAI.


[^about]: By Steven Obiajulu, J.D. Published by [openagreements.org](https://openagreements.org). Last reviewed 2026-08-15. License: CC BY 4.0. Steven Obiajulu, J.D. wrote this essay. It states the author's views, synthesizes public sources, and is not legal advice. This article is for informational purposes only and does not create an attorney-client relationship. CC BY 4.0. Cite as Steven Obiajulu, *Is Grok 4.6 good at legal work?*, OpenAgreements (last updated August 15, 2026), https://openagreements.org/models/grok-4-6.