Top 10 AI Tools Every Legal Professional in Salt Lake City Should Know in 2025

Salt Lake City lawyers and legal teams face a turning point in 2025: with AI tools driving a legal-market boom projected at about USD 1,236.7 million by 2025, firms that learn to apply AI for faster research, smarter triage, and fairer access to justice will gain measurable advantage.

Local momentum matters - Salt Lake City is named the nation's most AI‑ready city and Utah's Office of Artificial Intelligence Policy is actively shaping guidance and rules that affect practice (including consumer‑protection measures for high‑risk legal uses) - see the Utah AI office coverage.

From Stanford's survey of AI for access to justice comes concrete use cases - document triage, expungement screening, predictive analytics and online dispute resolution - that are already changing workflows and risk profiles.

Practical upskilling is the bridge: short, career‑focused programs like the AI Essentials for Work bootcamp teach promptcraft and tool use in 15 weeks, making it realistic to pilot, measure, and integrate AI safely into a Salt Lake City practice.

Bootcamp	Details
Program	AI Essentials for Work bootcamp - 15-Week practical AI training for workplace productivity
Length	15 Weeks
Courses	AI at Work: Foundations; Writing AI Prompts; Job Based Practical AI Skills
Cost	$3,582 (early bird) • $3,942 (after)

“I wanted to create a new seminar that's focused more concretely on artificial intelligence … understand regulatory issues surrounding AI.”

Selection focused on what matters to Utah firms in 2025: concrete ROI and seamless adoption, ironclad security and compliance, and verifiable outputs that stand up in court.

Priority criteria came from legal‑industry buyer guides - practical time‑savings and workflow fit (so tools actually reduce billable‑hour churn), usability for busy paralegals and partners, and technical safeguards such as AES‑256/TLS encryption, zero‑data‑retention options and SOC 2/ISO 27001 evidence flagged in vendor checks; see Assembly Software law‑firm buyer's guide and Spellbook compliance guidance for legal AI for concrete checkpoints.

Vendors that support pilot programs, frequent audits, clear audit trails and explainability scored highest, because a single misconfigured retention rule can turn intake data into a multi‑million‑dollar breach if left unchecked.

Final vetting required integration with existing case systems, transparent sourcing for model outputs, and an active vendor roadmap with legal‑specific support and security testing (pen tests and AI‑specific audits) before placement on a pilot list.

Criteria	Why it matters
Security & Compliance	Protects client confidentiality and meets CCPA/GDPR/industry standards
Usability & ROI	Drives adoption and measurable time savings
Transparency & Auditability	Allows lawyers to verify sources and defend outputs
Integration & Vendor Support	Fits existing workflows and evolves with regulation

“The issues of online privacy and security will become even more urgent than they already are.”

For Salt Lake City firms aiming to cut research time and sharpen drafting, Casetext's family of tools - from the core legal search tiers to the CoCounsel drafting assistant - deserves a close look: CoCounsel (now part of Thomson Reuters' lineup) is built for document review, deposition prep, contract analysis and timeline creation and starts at about $225/user/month, while Casetext's research plans begin as low as $90/month for basic searching and top out at $225 for Pro accounts that let you index your own documents; see the Thomson Reuters CoCounsel overview for vendor details and Lawyerist's CoCounsel review for an independent take.

That pricing spread matters for Utah practices balancing tight budgets with the need to scale AI use thoughtfully - Casetext's search-first tiers can support paralegals and research needs, while CoCounsel's document-focused capabilities aim squarely at drafting and review work that would otherwise consume partner hours.

For firms testing AI in 2025, the practical decision is about matching features to local workflows: choose the research tier for routine case law retrieval, and consider CoCounsel where contract and document analysis deliver direct billable-hour savings.

Product	Entry Price	Notable Uses
Thomson Reuters CoCounsel legal AI assistant	$225 / user / month (starting)	Document review, deposition work, contract analysis, timeline creation
Casetext pricing tiers - Starter / Advantage / Pro	Starter $90 • Advantage $100 • Pro $225 / license / month	Smarter searching, unlimited searches (Advantage), search your documents + 1 GB storage (Pro)

ChatGPT has become the go-to generative assistant for Salt Lake City firms that need fast first drafts, tight client summaries, and synthesis across pleadings, depositions, and contracts - use cases backed up in practical guides like Juro's overview of ChatGPT for lawyers and Clio's prompt library.

In practice it accelerates routine drafting (emails, NDAs, demand letters), turns long depositions or statutes into client-ready bullet points, and powers intake scripts and marketing copy that help small teams scale without hiring more staff.

But adoption in Utah should be cautious: courts and commentators warn that confident‑sounding AI outputs can hallucinate citations or introduce risk (even leading to sanctions in past incidents), so firms should lock down data with enterprise or lawyer‑specific GAI, scrub client identifiers, and treat each output “like a sharp junior associate” that needs verification and legal judgment.

For Salt Lake City lawyers ready to pilot ChatGPT, start with narrow intake and summarization tasks, build playbooks for prompts and redaction, and measure time saved versus the cost of extra review - a practical, measurable path to AI that protects clients while boosting capacity.

“Legal teams who successfully harness the power of generative AI will have a material competitive advantage over those who don't.”

For Salt Lake City firms that wrestle with enormous contracts and mountain-sized document sets, Anthropic's Claude stands out for long‑form analysis and careful contract review: firms praise its large context windows - paid plans can process the equivalent of roughly 500 pages in a single session and some Claude variants handle 100k–200k+ token contexts - so a complex M&A due‑diligence folder or a 200‑page software license doesn't have to be chopped into dozens of prompts.

Claude's constitutional‑AI design emphasizes cautious, explainable outputs and has been embedded by partners from Notion to CoCounsel and Robin AI for contract intelligence, which makes it a practical option when accuracy and traceability matter; see Clio's primer on Anthropic and a detailed practitioner guide to Claude for lawyers for real‑world prompts and workflows.

Practical use cases in Utah range from automated clause‑checklists and playbook‑driven redlines to witness prep and medical‑record summarization, but firms should pair Claude with redaction, secure deployment, and clear human review protocols - Anthropic notes it won't train on prompts by default and there have been isolated citation‑errors that underscore why every AI draft needs attorney sign‑off.

“You're not replacing attorneys - you're extending what they can do in half the time.”

Everlaw's cloud-native eDiscovery platform is a practical fit for Salt Lake City litigators, in-house teams, and state or local agencies tackling FOIA and public‑records work because it turns sprawling ESI into courtroom-ready evidence quickly and securely: the platform ingests nearly any file type and touts processing speeds up to 900K documents per hour, instant audio/video transcription and searchable foreign‑language support, plus machine‑learning predictive coding that helps prioritize review and build defensible stopping rules.

Its collaborative tools - Storybuilder, interactive visualizations, and real‑time review assignments - make it easy for Utah teams to craft timelines and narratives together, while FedRAMP/StateRAMP and SOC 2 attestations address government and compliance concerns.

For firms piloting ediscovery in 2025, Everlaw's emphasis on speed, secure cloud scale, and integrated analytics means smaller teams can deliver big‑firm discovery outcomes without a heavy IT lift; explore Everlaw's ediscovery overview or read a product primer to see how these capabilities map to local workflows.

Capability	Why it matters for Salt Lake City firms
High-speed processing	Handles massive data sets fast (up to 900K docs/hr) to meet tight deadlines
AI & Predictive Coding	Prioritizes review, creates defensible models, reduces review costs
Cloud-native + Security	FedRAMP/StateRAMP and SOC 2 support government, corporate, and public‑records needs
Collaboration & Storybuilder	Builds timelines and narratives across teams for trial prep and investigations

“Everlaw can best be described as simple. That doesn't mean the platform doesn't do complex work; rather, it makes complex work simple.”

For Salt Lake City firms wrestling with piles of leases, vendor agreements, or due‑diligence packs, Diligen's machine‑learning contract analysis translates complexity into action: the platform automatically identifies hundreds of key provisions, generates contract summaries in Word or Excel, and lets teams filter, assign, and collaborate across reviews while scaling from dozens to hundreds of thousands of contracts.

With 150+ pre‑trained clause models, customizable training, and API/Box/NetDocuments/Clio integrations, Diligen is built to speed M&A diligence, lease sweeps, NDA reviews and regulatory cleanups without rebuilding templates - imagine turning a messy folder into a clear Excel catalogue in minutes.

Salt Lake City legal teams can pilot the Diligen demo page to map specific workflows and keep attorneys in the loop for any flagged exceptions.

Learn more on the Diligen product page or read the Epiq press overview of their partnership to see how firms are combining ML and human review for faster, higher‑quality outcomes.

Feature	Why it matters for Salt Lake City firms
Automatic clause identification	Find indemnities, renewals, force majeure, and other risks fast
Summaries to Word/Excel	Creates usable outputs for deal teams and CLM imports
Scalability & pre‑trained models	From 50 to 500,000+ contracts with day‑one coverage
Custom training & integrations	Adapt to local playbooks and connect to firm systems

“We are excited to partner with Epiq with the goal of providing law firms and legal departments with more efficient, fast, accurate and affordable ways to gain insight into their contracts,” stated Laura van Wyngaarden, Diligen co‑founder and COO.

Salt Lake City law firms that need to stop losing callers and start converting them into clients should consider Smith.ai's mix of AI‑first and human virtual receptionists: plans cover 24/7 call handling, bilingual answering, payment collection and appointment booking, with AI Receptionist plans from about $97.50/month and human Virtual Receptionists starting near $292.50/month.

Smith.ai shines for intake automation because call details are pushed to your stack in real time - “no lag,” so a new lead can hit Clio, Calendly, or your CRM the moment a call ends - making it easier for small Utah teams to close the speed‑to‑lead gap.

Deep integrations (Salesforce, HubSpot, Close, Lawcus and more) mean intake, notes and call summaries can auto‑create contacts and sync next steps; see the Smith.ai integrations page and the step‑by‑step guide on how to integrate Smith.ai with your CRM to map workflows before pilot testing.

“Smith.ai is our inbound sales team. Having a trained and personable voice has transformed our ability to answer the phone and convert callers to clients.”

For solos and small firms in Salt Lake City, that combination of nonstop coverage and seamless CRM sync turns missed calls into measurable business development without adding headcount.

Microsoft 365 Copilot brings an office‑integrated AI assistant into the apps Salt Lake City lawyers already rely on - Word, Outlook, Teams and Excel - so routine tasks like meeting recaps, inbox triage, first‑drafts and data analysis can be handled faster while work‑grounded answers remain tied to your tenant via Microsoft Graph and Copilot Studio agents; think of it as a super‑fast junior paralegal that can read a folder and flag the exact clause worth arguing in minutes.

Copilot Chat is available free to Microsoft 365 business customers to pilot low‑risk summarization, while the full Microsoft 365 Copilot add‑on (enterprise‑grade security, Purview controls, and tenant‑isolated data) is listed at about $30/user/month with bundled business plans starting around $36–$52 depending on tier - making measured pilots financially realistic for small firms.

For practical guidance on licensing and features see the Microsoft 365 Copilot overview and for current subscription options consult the Microsoft 365 Copilot pricing page, and for local hiring and upskilling context review Salt Lake City AI hiring trends to map pilot roles to emerging demand.

Plan	Starting price (per user/month)
Microsoft 365 Copilot (add‑on)	$30.00 (paid yearly)
Business Basic + Copilot	$36.00 (paid yearly)
Business Standard + Copilot	$42.50 (paid yearly)
Business Premium + Copilot	$52.00 (paid yearly)

“Copilot allows lawyers to focus on delivering deeper, value-added insights.”

Salt Lake City litigators, in‑house counsel and local agencies will find RelativityOne worth a close look in 2025: a market‑proven, Azure‑backed eDiscovery platform that powers hundreds of large firms and brings integrated AI, fast processing, and secure controls into one workspace.

Relativity's generative AI (aiR) helps prioritize review and generate case deliverables, the processing engine automatically scales for big ingestions, and built‑in transcription and translation turn hours of audio/video and foreign‑language threads into searchable, review‑ready text - the kind of time‑sink that used to mean late nights at the office now becomes actionable timelines and witness summaries.

For government or FedRAMP customers there are specific configuration limits (and outbound‑connection controls) to plan for, and firms should expect firewall, VPN and tenant settings to be part of any rollout; Relativity's technical overview and law‑firm pages explain the network, Lockbox and client‑domain features to help meet Utah security and compliance needs.

Pilot with clear intake volumes and notify Relativity early on large matters so automatic scaling and support are primed for peak ingestion and productions.

Capability	Why it matters for Salt Lake City firms
Relativity eDiscovery platform - Generative AI (Relativity aiR)	Speeds first‑pass review, privilege checks and case deliverables with explainable rationale
Automated processing & scaling	Handles large matters without heavy on‑prem hardware; notify Relativity for big ingestions to optimize resources
Security & Lockbox / FedRAMP considerations	Meets government and sensitive‑data requirements but requires network and VPN planning
Audio/video transcription & translation	Turns multimedia and multi‑language ESI into searchable evidence for trial prep and public‑records work

“It's the best Review platform and analytics tool that I have used, with full customization capabilities. Love it.” - Evidence Systems Team Leader

Gavel.io brings no-code document automation and secure client intake to Salt Lake City firms that need to scale without adding headcount: build guided web questionnaires, auto-generate perfectly formatted Word/PDF documents, and white‑label a client portal that pushes intake straight into Clio, DocuSign, or your CRM - making routine court forms, engagement letters, and estate plans far faster to deliver.

Built‑by‑lawyers design and AI‑assisted “Blueprint” tools let teams cut drafting time by up to 90% while preserving playbook accuracy, and enterprise‑grade safeguards (SOC II/HIPAA attestations, AES‑256 encryption and a PCI‑compliant portal) help meet Utah security expectations.

For Salt Lake City solos and small firms, Gavel's no‑setup forms and prebuilt court templates make piloting intake-to-document workflows realistic: try a demo of Gavel's automation or read a plain‑English primer on document automation to map which packets to automate first, then measure time saved against local demand trends for AI‑literate legal help.

Feature	Why it matters for Salt Lake City firms
No‑code workflows & guided intake	Faster client onboarding and fewer errors for busy small teams
Integrations (Clio, DocuSign, Stripe)	Seamless handoff to case management, signing, and billing
Security & compliance	SOC II/HIPAA, AES‑256, PCI portal meet regulatory needs
90% drafting time reduction claim	More capacity to serve unmet local legal needs and grow revenue

“We were able to do an entire estate plan in 30 minutes. I was running around the office telling everyone about how magical Gavel is.”

Auto‑GPT is the experimental, open‑source approach that lets LLMs run like autonomous research assistants - give it a clear objective and it will break the job into subtasks, browse the web, draft files, and iterate on its own until the goal is met - making it appealing to Salt Lake City firms that want overnight research runs or multi‑step drafting without babysitting every prompt.

Practical benefits include long‑running data synthesis, automated literature reviews, and scripted document assembly, but the tool is also explicitly a sandbox technology: it relies on OpenAI API keys, can rack up nontrivial usage costs, and risks looping or producing confident‑sounding errors if left unchecked, so Utah practices should pilot with strict spending limits, redaction and human review baked into workflows.

For a concise explainer, see Ultralytics Auto‑GPT overview, a how‑to walkthrough is available from Codecademy Auto‑GPT how‑to walkthrough, and Parangat's Auto‑GPT deep dive outlining capabilities and ethical tradeoffs - use Auto‑GPT where continuous, multi‑step automation clearly saves billable hours, and treat every autonomous draft like a junior associate that still needs attorney sign‑off.

Strengths	Key Risks
Autonomous multi‑step workflows; internet access; memory & file handling	API costs, potential hallucinations, repetitive loops, security/privilege concerns

“We have ridden a rocket to the top, and we are hoping it doesn't stop any time soon.”

Salt Lake City lawyers ready to turn AI from buzzword into practice should pilot narrowly, measure outcomes, and then integrate what works into firm playbooks - starting with low‑risk, high‑volume tasks like intake summaries, clause extraction, or automated court forms so teams can see measurable time‑savings and error rates before scaling.

Follow Utah's own guardrails: the Utah Office of Artificial Intelligence Policy stresses informed consent, strong data‑handling standards, contingency planning and ongoing monitoring (see the OAIP guidance), and the University of Utah's Copilot brief reminds practitioners to use verified tenant protections, avoid PHI or other restricted inputs, and treat AI outputs as editable drafts.

Pair pilots with an Acceptable Use Policy, redaction controls and mandatory human review (best practices echoed in industry guides), and invest in people: short, practical courses such as the 15‑week AI Essentials for Work bootcamp teach promptcraft and safe tool use so staff can run defensible pilots.

Start small, document time saved and accuracy, and iterate - many firms report dramatic gains from focused automation (for example, rapid estate‑plan packet generation with no loss of quality), making measured integration the surest path to sustainable AI adoption in Utah practice.

Program	Length	Cost (early bird)	Register
AI Essentials for Work - practical AI upskilling	15 Weeks	$3,582	AI Essentials for Work bootcamp - syllabus and enrollment

“Technology has the potential to greatly enhance the quality of mental health care.”