Top 10 AI Tools Every Legal Professional in Topeka Should Know in 2025
Last Updated: August 28th 2025

Too Long; Didn't Read:
Topeka legal professionals in 2025 should know 10 AI tools (CoCounsel, Lexis+ AI, Spellbook, Harvey, Relativity, Ironclad, Lex Machina, Smith.ai/LawDroid, Briefpoint, ChatGPT/Perplexity). Reports cite ~240 hours saved per lawyer annually and ~79% daily AI use; vet SOC 2, encryption, retention.
For Topeka legal professionals in 2025, AI is no longer a distant promise but a practical tool reshaping everyday practice: industry reports show wide adoption and real time savings - Thomson Reuters notes AI can free nearly 240 hours per lawyer each year - while NetDocuments finds AI is embedding into document workflows and that roughly 79% of law firm professionals now use AI in daily work, so small Kansas firms and state agencies alike must learn how to vet outputs, preserve client confidentiality, and translate speed into strategic value rather than just lower fees; for hands-on skill-building, Nucamp's AI Essentials for Work bootcamp (15 weeks) pairs prompt-writing and tool practice with workplace use cases, and regional practitioners can rely on proven guidance from sources like Thomson Reuters analysis of AI in the legal profession and NetDocuments 2025 legal tech trends and AI workflows while adapting policies to Kansas rules and local court expectations.
Bootcamp | Length | Early Bird Cost | Registration |
---|---|---|---|
AI Essentials for Work | 15 Weeks | $3,582 | Register for AI Essentials for Work (15 weeks) |
“The role of a good lawyer is as a ‘trusted advisor,' not as a producer of documents … breadth of experience is where a lawyer's true value lies and that will remain valuable.”
Table of Contents
- Methodology: How we picked these Top 10 AI tools
- Casetext / CoCounsel - AI legal research & memo drafting
- Lexis+ AI - Conversational legal search and verified citations
- Spellbook - Contract drafting and Word redlining for transactional lawyers
- Harvey AI - Copilot for complex workflows and corporate legal teams
- Relativity - eDiscovery and large-scale document review
- Ironclad - Contract Lifecycle Management for business-focused legal teams
- Lex Machina - Litigation analytics for judge and venue strategy
- LawDroid and Smith.ai - Client intake, chatbots and virtual reception
- Briefpoint and Clearbrief - Litigation drafting automation and brief-writing assistance
- ChatGPT and Perplexity AI - General-purpose assistants for drafting and research
- Conclusion: Choosing and adopting AI tools in Topeka - security, ethics, and next steps
- Frequently Asked Questions
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Methodology: How we picked these Top 10 AI tools
(Up)The shortlist was built around practical, ethics-first criteria that matter to Topeka firms and Kansas government counsel: proven security (SOC 2 Type II or equivalent), zero‑data‑retention or clear training‑data policies, strong encryption and access controls, verifiable sourcing to avoid hallucinations, measurable workflow ROI, and easy integration with existing case management - in short, tools that pass legal scrutiny and make everyday work faster without adding risk.
Sources we relied on when weighting those factors include vendor‑security guidance like Paxton's “Top 5 Criteria for Evaluating Secure Legal AI Platforms” (SOC 2 Type II is flagged as especially relevant for U.S. lawyers), public vendor attestations such as Spellbook's SOC 2 Type II announcement, and buyer's checklists that emphasize usability, transparency, and vendor support from industry guides; selections were further vetted for ongoing auditability and vendor responsiveness so a small Topeka practice can document compliance for state or federal matters.
The selection process prioritized tools you can reasonably verify during procurement (ask for SOC 2 reports, encryption details, retention policies) rather than hype - because one missing attestation can mean a lost enterprise contract or a firm that can't safely use client data.
"We needed to be SOC 2 compliant yesterday. We had major companies wanting enterprise licenses, and the biggest thing blocking us was not having compliance." - Tanay Kothari, Wisprflow
Casetext / CoCounsel - AI legal research & memo drafting
(Up)Casetext's CoCounsel (now part of Thomson Reuters) is a GPT‑4–powered legal assistant built to speed research, draft jurisdiction‑aware memos, summarize testimony, and sift document sets - functions that can shave hours off routine tasks for Topeka litigators and transactional lawyers alike; users report CoCounsel producing credible transcript summaries in minutes and generating research memos with linked citations, while Casetext highlights end‑to‑end encryption and a “private entrance” to the model to limit data retention.
That said, firsthand reviews and independent analyses note practical limits - bulk uploads and result caps have tripped up large e‑discovery jobs, and memos still require human verification and local‑law checks (including Kansas and Tenth Circuit authority) before filing.
For small Kansas firms the sweet spot is clear: use CoCounsel to accelerate first drafts, deposition outlines, and contract triage, but confirm controlling authority and Shepardize key cases manually.
Learn more from CoCounsel's product page and an appellate lawyer's hands‑on review that highlights both the time savings and the verification needed.
Reported pricing (from sources) | Reference |
---|---|
$500/month or $50 per query (reported) | Plaintiff Magazine first‑hand review of Casetext CoCounsel (AI legal software hands‑on) |
Starting ~$225/user/month (reported) | Lawyerist detailed CoCounsel pricing and feature review for lawyers |
Alternately listed from ~$110/month (reported) | TopAITools Casetext pricing summary and marketplace listing |
“You and your end users are responsible for all decisions made, advice given, actions taken, and failures to take action based on your use of AI Services. AI Services use machine learning models that generate predictions based on patterns in data. Output generated by a machine learning model is probabilistic and should be evaluated for accuracy as appropriate for your use case, including by employing human review of such output.”
Lexis+ AI - Conversational legal search and verified citations
(Up)Lexis+ AI brings conversational legal search and citation‑backed drafting to the bench and bar: its Protégé assistant lets lawyers ask plain‑English questions, draft jurisdiction‑tailored memos, prepare deposition questions or discovery requests, and “Shepardize®” citations while tapping LexisNexis's proprietary content and a private firm workspace - so a Topeka attorney can rapidly generate a first draft or timeline from a 150‑page file upload and then verify controlling Kansas and Tenth Circuit authority before filing.
The platform emphasizes privacy and enterprise security (privacy‑by‑design, Azure/AWS Bedrock deployment, and controls so customer data isn't used to train models for others) and supports a multi‑model approach (GPT‑5/GPT‑4o and Anthropic models) plus DMS integrations like iManage and SharePoint for drafting from firm precedents.
For small firms and government counsel focused on defensible workflows, Lexis+ AI pairs speed with verifiable sourcing and measurable business impact (a Forrester study cited a 344% ROI for law firms over three years), making it a practical tool to accelerate routine work while preserving the human oversight that lawyers must apply.
See Lexis+ AI's feature overview and learn more about the Protégé assistant for legal drafting and research.
Feature | Notes (from vendor) |
---|---|
Models supported | GPT‑5, GPT‑4o, o3, Claude Sonnet 4 (multi‑model) |
Protégé Vault limits | Up to 50 Vaults; 1–500 documents per Vault; uploads >10 documents prompt Vault creation; session uploads purged if not vaulted |
Reported ROI | 344% ROI for law firms over 3 years (Forrester TEC study, commissioned by LexisNexis) |
Spellbook - Contract drafting and Word redlining for transactional lawyers
(Up)For transactional lawyers in Topeka, Spellbook brings contract drafting and Word redlining into the same document window so deals move faster without risky copy‑and‑paste: the Microsoft Word add‑in drafts clauses, finds and inserts precedent language, and applies redlines and comments under your name - claims that Spellbook says can make drafting and review “10x faster” and now run on GPT‑5 for faster, more nuanced suggestions.
Library and Smart Clause Drafting let a firm surface the exact clause it once used - no more interrupting flow to spend 10 minutes digging through folders - and adapt that language to the current deal, which is especially useful for small Kansas firms or state counsel who rely on consistent precedents.
Enterprise security (SOC 2 Type II, zero‑data‑retention options, GDPR/CCPA coverage) and a 7‑day trial make it straightforward to test defensible workflows; see Spellbook's drafting features and the LawNext write‑up on Library for details and demos.
“Spellbook probably helps me bill an extra hour a day. Maybe more.” - Todd Strang, Partner, KMSC Law LLP
Harvey AI - Copilot for complex workflows and corporate legal teams
(Up)Harvey positions itself as a professional‑class copilot for complex legal work - built around an Assistant, Knowledge, Vault and customizable Workflows that let corporate legal teams and in‑house counsel encode firm playbooks and run multi‑step matter workstreams at scale; Kansas teams can upload and bulk‑analyze thousands of contracts in a secure Vault, accelerate due diligence and regulatory tracking, and stitch outputs into Word and DMS workflows while keeping firm templates and approval gates intact.
The platform emphasizes enterprise‑grade security and controls (end‑to-end encryption, data residency, no training on customer data) and supports domain‑specific models and multi‑model options - including integrations that leverage Anthropic's Claude for long‑context reasoning - so outcomes are grounded in citations and firm context rather than generic chat.
That focus makes Harvey especially useful for mid‑market corporate departments and panel firms running high‑volume transactional or litigation processes, though observers note its enterprise pricing and invite model may place it beyond some small practices; where it's adopted, firms report real time savings and a shift from ad‑hoc prompting to formalized, auditable AI workflows.
Learn more on Harvey's product site and read a detailed look at Workflow Builder's firm‑level customization in The Legal Wire.
“Privacy and security is the foundation of the Harvey platform. Without it, we have no right to store our customers' highly private and confidential data.” - Michelle Arguelles, Senior Product Marketing Manager, Harvey
Relativity - eDiscovery and large-scale document review
(Up)Relativity is the go-to platform when a Topeka litigator or government counsel faces a data deluge - its workspaces and TAR/predictive‑coding tools help small teams handle millions of pages by statistically sampling and surfacing “hot” documents so attorneys spend time on strategy, not slog; Relativity's longstanding analysis of defensibility explains how adequate sample sizes and validation (see Dr. Grossman's findings) make predictive coding court‑ready, and RelativityOne's case‑strategy features let teams go from complaint to interactive timelines and linked evidence without hopping systems, which is a practical win for Kansas firms juggling limited staff.
Practical adoption advice from Relativity - get the team involved early, line up technical support, and take full advantage of automation - maps directly to how a Topeka practice can keep discovery proportional, defensible, and cost‑effective.
Learn more about Relativity's approach to predictive coding and its RelativityOne case strategy tools as you plan an auditable workflow for local and federal matters.
“We want to show our clients that we can make their lives easier by using one tool to handle their case, from the initial review all the way through trial. RelativityOne allows our clients to have a dynamic picture of their case and collaborate seamlessly, without having to leave the database.”
Ironclad - Contract Lifecycle Management for business-focused legal teams
(Up)For business‑focused legal teams in Topeka, Ironclad CLM can turn slow, manual contract cycles into a defensible, auditable process that plays well with tight local budgets and public‑sector security needs: Ironclad's no‑code Workflow Designer and AI assistant (Jurist) automate clause detection, redline suggestions, and metadata tagging so routine NDAs and purchase agreements move from intake to signature far faster than chasing PDFs across inboxes; vendor benchmarks even report a 55% improvement across value metrics and claims of up to an 80% boost in contracting efficiency, while features like Smart Import, a centralized repository, and integrations with Word, Salesforce and Slack help small firms and state agencies migrate legacy files without losing institutional memory.
Ironclad emphasizes enterprise security (GCP hosting, TLS/AES encryption) and built‑in analytics to track renewals and risk, and a 14‑day trial plus extensive demos make it straightforward to test in a Kansas practice.
Learn more from the Ironclad contract lifecycle management overview and the Ironclad contract lifecycle management explainer to see how the platform maps to municipal, state, and mid‑market contracting workflows.
Feature | Detail |
---|---|
Efficiency claim | 55% improvement on average in Ironclad benchmark report |
AI capabilities | Automatic clause detection, redline suggestions, 194+ contract properties detected |
Security & hosting | Google Cloud Platform hosting; TLS 1.2+ in transit, AES‑256 at rest |
“If we didn't have Ironclad, could we extend a day to have 48 hours, instead of 24? Because that might be what we'd need. It would've been difficult without tools like Ironclad.”
Lex Machina - Litigation analytics for judge and venue strategy
(Up)For Kansas litigators and in‑house counsel weighing judge and venue strategy, Lex Machina turns intuition into evidence by surfacing judge-specific findings, motion timing, reversal patterns, and party and counsel histories across federal and state dockets so a Topeka attorney can pick a forum or tailor briefing with measurable confidence; recent expansion to full federal coverage added roughly 500,000 cases to complete the dataset, giving practitioners outcome‑driven analytics (damages, resolutions, timing) across more than 3.7 million federal civil cases and millions of underlying documents.
Built to integrate with Lexis+ and driven by AI‑assisted review, Lex Machina's tools let teams compare judges, courts, experts, and opposing counsel, run motion‑type metrics (40+ motion types), and export custom reports for client pitches or settlement strategy - practical capabilities for small Kansas firms that need to justify venue choices and predict likely case trajectories.
Explore the Lex Machina product page or read the Full Federal outcome analytics release to see how the dataset now supports deeper, defensible judge and venue research.
Metric | Detail (from sources) |
---|---|
Full federal coverage | Added ~500,000 cases; now covers >3.7M federal civil cases (based on 17.5M documents) |
Dataset scale | Millions of documents and case records; entity analytics for judges, counsel, parties, experts |
Motion & timing analytics | State court motion metrics for 40+ motion types; timing events and appeal analytics |
“Legal Analytics are only as powerful as their level of accuracy and comprehensiveness,” said Ellen Chen, Legal Data Lead for full Federal.
LawDroid and Smith.ai - Client intake, chatbots and virtual reception
(Up)Client intake and front‑door triage are where many Kansas firms can get an immediate win: missing one call can cost a case, so tools that reliably screen leads and protect attorney time are vital for Topeka practices juggling heavy dockets and small staffs.
Smith.ai's hybrid model blends AI screening with North America–based, legally trained live agents and native integrations (Clio, MyCase, Salesforce) so routine calls, bilingual intake, and scheduling are handled 24/7 while sensitive matters get human escalation - see Smith.ai's comparison and feature rundown for details.
LawDroid targets shops that want a self‑serve, conversational AI stack - chatbots, DIY flow builder, document automation and research assistants - and has also launched CiteCheck AI to help lawyers catch hallucinated citations before filing, with a free trial and paid tiers for heavier use.
For Topeka solo or small firms the choice is practical: Smith.ai reduces missed leads and administrator overhead with human fallback, while LawDroid offers low‑cost automation and an important defensive tool (cite checking) to avoid sanctions; both approaches can be verified against vendor pricing, integrations, and trial offers before procurement.
Service | Approach / Strength | Notable pricing (from sources) |
---|---|---|
Smith.ai AI Answering Service for Law Firms | Hybrid AI + human receptionists; legal scripts, CRM sync, bilingual support | AI receptionist from $97.50/month (30 calls); hybrid plans from $292.50/month (30 calls) |
LawDroid CiteCheck AI citation verification for lawyers | Self‑serve conversational AI, builder tools, citation verification (CiteCheck) | Entry AI assistant plans from $25/month; CiteCheck free for 5 reports, then $25/month (100 reports) or $100/month (500 reports) |
“The time for excuses has ended,” says LawDroid's Martin, urging lawyers to use professional citation validation to avoid hallucinated case citations.
Briefpoint and Clearbrief - Litigation drafting automation and brief-writing assistance
(Up)Briefpoint brings practical discovery automation to Kansas litigators by turning a complaint PDF into tailored interrogatories, requests for production, and requests for admission in minutes - its ability to generate discovery sets from pleadings and to convert incoming requests into plain‑English responses streamlines what used to be the most repetitive phase of litigation (see a hands‑on demo of Briefpoint AI discovery drafting demo on LawNext).
Integrated workflows further reduce friction: the MyCase and Briefpoint automated discovery sync can save up to three hours per discovery document by auto‑extracting court, case, and party data, while the Smokeball partnership highlights that Briefpoint has already helped more than 900 litigators automate over 14,000 documents and formats filings to local rules for all 50 states (useful for Topeka practitioners who must match Kansas court customs).
For small firms or municipal counsel juggling heavy dockets, Briefpoint's drafting, objection identification, and client‑response collection capabilities make discovery far less of a time sink and let attorneys focus on strategy rather than form preparation.
ChatGPT and Perplexity AI - General-purpose assistants for drafting and research
(Up)ChatGPT and Perplexity AI together make a practical one‑two punch for Topeka practitioners: use Perplexity as a fast, source‑backed research engine that pulls real‑time data and returns answers with clickable citations so you can spot‑check Kansas statutes or Tenth Circuit authority quickly, then move confident first drafts, client‑friendly explanations, or demand letters into ChatGPT for polishing, tone control, and iteration; Perplexity's step‑by‑step guide shows how to upload files and dig into focused legal queries, while ChatGPT guides (and firm playbooks) demonstrate how to structure prompts for contracts, summaries, and intake workflows.
The payoff for small firms and agency counsel is concrete - speedy issue‑spotting and clearer first drafts - provided every output is verified and sensitive client material is guarded: review vendor terms and prefer enterprise or private plans when handling confidential files (vendor data‑use guidance for AI in the workplace).
For a practical workflow, start research in Perplexity, cite and save supporting links, then draft and refine in ChatGPT while keeping human review as the final gate; explore Perplexity's lawyer guide and a ChatGPT for lawyers primer to see these roles in action.
“Legal teams who successfully harness the power of generative AI will have a material competitive advantage over those who don't.”
Conclusion: Choosing and adopting AI tools in Topeka - security, ethics, and next steps
(Up)Choosing AI for a Topeka practice starts with security and ethics as non‑negotiables: demand end‑to‑end encryption (in transit and at rest), multifactor authentication, role‑based access, clear data‑retention and deletion rights, and attestations like SOC 2 or ISO 27001 when you vet vendors - see the practical checklist at Attorney at Work for concrete steps to protect client files and meet regulatory expectations.
Ask vendors pointed questions about data handling, model training, and deletion policies (the Gavel checklist is a handy vendor Q‑list), run a time‑boxed pilot with realistic matter types, and form a cross‑functional steering group so IT, risk, and practicing attorneys can align on workflows, user training, and an incident response plan.
Keep human review as the final gate, measure ROI against real use cases, and equip staff with skills for prompt design and safe use (Nucamp's Nucamp AI Essentials for Work bootcamp pairs prompt‑writing with workplace scenarios).
Thoughtful procurement plus continuous training will let Kansas firms capture AI's speed without sacrificing client trust or ethical duties - starting with the basics in the Attorney at Work security checklist and a vendor checklist like LexisNexis's guide to what firms should demand.
Bootcamp | Length | Early Bird Cost | Registration |
---|---|---|---|
AI Essentials for Work | 15 Weeks | $3,582 | Nucamp AI Essentials for Work bootcamp registration |
“Creating contracts, briefs, opinions, filings, even arguments in court are all activities that could be dramatically transformed by Gen AI.”
Frequently Asked Questions
(Up)Which AI tools should Topeka legal professionals consider in 2025 and what primary tasks does each address?
Top recommended tools and core uses: Casetext / CoCounsel - legal research, jurisdiction‑aware memos, transcript summaries; Lexis+ AI - conversational legal search, citation‑backed drafting and Shepardizing; Spellbook - contract drafting and Word redlining for transactional work; Harvey AI - copilot for complex workflows, vaulted contract analysis and firm playbooks; Relativity - eDiscovery, predictive coding and large‑scale document review; Ironclad - Contract Lifecycle Management and automated contracting workflows; Lex Machina - litigation analytics for judge/venue strategy; LawDroid and Smith.ai - client intake/chatbots and virtual reception; Briefpoint and Clearbrief - automated discovery and brief drafting; ChatGPT and Perplexity - general drafting, polishing, and fast source‑backed research. Each tool is suited to specific practice needs (research, drafting, discovery, intake, analytics, contract lifecycle) and should be paired with human verification and local‑law checks (e.g., Kansas and Tenth Circuit authority).
What security and ethics criteria were used to select the Top 10 tools and how should small Kansas firms vet vendors?
Selection prioritized practical, ethics‑first criteria: proven security (SOC 2 Type II or equivalent), zero‑data‑retention or clear training‑data policies, strong encryption and access controls (TLS/AES, at‑rest/in‑transit protection), verifiable sourcing to reduce hallucinations, measurable workflow ROI, and integrations with existing case management/DMS. Small firms should request vendor SOC 2/ISO reports, ask for data retention and deletion policies, confirm whether customer data is used to train models, verify encryption and access controls, pilot tools on realistic matter types, involve IT/risk/practice leads, and document vendor responses to build defensible procurement records aligned with Kansas rules and court expectations.
How much time or ROI can AI realistically deliver for a Topeka lawyer, and what limits should practitioners expect?
Industry findings indicate meaningful time savings (e.g., Thomson Reuters cites up to ~240 hours per lawyer per year; vendor case studies show tool‑specific gains such as Lexis+ Forrester‑commissioned ROI claims). Practical limits: AI outputs are probabilistic and require human verification; bulk uploads or caps can constrain large eDiscovery jobs; tools may incur enterprise pricing beyond small‑firm budgets. Realistic adoption focuses on accelerating first drafts, triage, discovery automation, and intake while preserving attorney oversight, verifying controlling authority (Kansas/Tenth Circuit), and measuring ROI on real matter workflows.
What practical workflows and safeguards should Topeka firms use when adopting generative AI?
Recommended workflows and safeguards: start research with source‑backed engines (e.g., Perplexity) and move drafting/polishing to assistants (e.g., ChatGPT, Lexis+ Protégé); keep human review as the final gate; use enterprise or private plans for confidential material; enable MFA, role‑based access, and vaulting for sensitive documents; pilot tools in a time‑boxed manner with representative matters; create cross‑functional steering groups (IT, risk, practicing attorneys); document vendor attestations; and maintain incident response and audit trails so outputs are defensible under Kansas ethical rules and court expectations.
Which training or resources can help Topeka practitioners build safe, effective AI skills?
Practical training resources: hands‑on prompt‑writing and tool practice (e.g., Nucamp's AI Essentials for Work bootcamp), vendor demos and trials (Spellbook, Lexis+, Briefpoint, etc.), vendor security and buyer checklists (Paxton, Gavel vendor Q‑list, Attorney at Work checklist), and published reviews or playbooks illustrating verification workflows (appellate lawyer reviews, Forrester/benchmarks). Combine formal training with time‑boxed pilots and firm playbooks that codify prompt design, verification steps, and data‑handling rules aligned with Kansas bar guidance.
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Ludo Fourrage
Founder and CEO
Ludovic (Ludo) Fourrage is an education industry veteran, named in 2017 as a Learning Technology Leader by Training Magazine. Before founding Nucamp, Ludo spent 18 years at Microsoft where he led innovation in the learning space. As the Senior Director of Digital Learning at this same company, Ludo led the development of the first of its kind 'YouTube for the Enterprise'. More recently, he delivered one of the most successful Corporate MOOC programs in partnership with top business schools and consulting organizations, i.e. INSEAD, Wharton, London Business School, and Accenture, to name a few. With the belief that the right education for everyone is an achievable goal, Ludo leads the nucamp team in the quest to make quality education accessible